Custom Memory Design Engineer Jobs in Bengaluru

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Position: RTL Design Engineer Location: Bangalore Education: Engineering Degree in Electronics & Communication (E&C) Experience: 3 to 6 years Job Overview We are seeking a skilled RTL Design Engineer to own the full lifecycle of FPGA design projects from understanding customer requirements to final delivery. You will define DSP, system, and board architecture, partition algorithms between FPGA and software, and lead design, simulation, and verification activities. This role requires hands-on expertise with FPGA technologies, strong problem-solving skills, and the ability to engage closely with customers and production teams. Key Responsibilities Interpret customer requirements, specifications, and tender documents to define system architecture. Take end-to-end ownership of projects including risk assessment, mitigation planning, schedule tracking, and customer discussions. Partition signal processing algorithms for FPGA and software implementation; identify key building blocks. Provide estimates for FPGA resources, computational and memory bandwidth needs. Develop detailed module-level designs including coding, simulation, and peer reviews. Apply design, verification, and validation methodologies rigorously. Prepare and maintain comprehensive project documentation, including design and analysis reports. Support customers during integration and testing phases on-site. Assist production teams with technical support. Define RTL architecture and perform HDL coding, simulation, implementation, board testing, and debugging. Professional Skills & Technical Expertise Proficient in VHDL coding; experience with Verilog or SystemVerilog is a plus. Expertise with Xilinx FPGA devices and associated synthesis and implementation tools. Strong experience in functional simulation and hardware logic design/debugging. Familiarity with FPGA synthesis and place & route (PAR) tools. Experience implementing DSP algorithms in FPGA environments, especially for Radar and Electronic Warfare applications. Skilled in modeling algorithms using MATLAB/Octave, generating test vectors, and data visualization. Working knowledge of interfacing with ADCs and DACs, and analyzing their performance. Good command of configuration and version control tools such as SVN. Excellent communication and presentation skills for technical discussions and customer interactions. What You ll Bring Strong analytical mindset and problem-solving abilities. Ability to work independently and manage multiple tasks effectively. Detail-oriented with a commitment to high-quality design and documentation. Collaborative attitude to work across teams and customer sites. Qualification : Engineering Degree in Electronics & Communication (E&C)

Position: Junior/Senior Design Engineer Hardware Design Location: Bangalore Education: B.E./B.Tech. in Electronics & Communication / Electronics & Telecommunication M.E./M.Tech. in Electronics & Communication Experience: 2 to 4 years Job Overview We are looking for a passionate and detail-oriented Hardware Design Engineer (Junior/Senior level) to join our engineering team in Bangalore. In this role, you will be responsible for designing high-performance embedded hardware systems, from circuit design and schematic capture to board bring-up and testing. You ll work closely with cross-functional teams to deliver robust, scalable, and reliable hardware solutions, primarily for embedded and defense applications. Key Responsibilities Execute assigned hardware design tasks within defined timelines. Design and develop complex hardware circuits, schematics, and PCB layouts. Perform Signal Integrity (SI), Power Integrity (PI), and thermal analysis. Develop hardware test plans and execute board/system testing accordingly. Conduct board bring-up, validation, and debugging of hardware platforms. Participate in design reviews, defect prevention, and continuous improvement activities. Adhere to all QMS (Quality Management System) and project-specific processes. Prepare detailed technical documentation and maintain design records. Flag and resolve any technical challenges with guidance from tech leads. Technical Skill Set Strong expertise in circuit design, schematic capture, and PCB design. Hands-on experience with 16-bit or 32-bit processors/microcontrollers (e.g., ARM, PowerPC, IBM PPC 405, Intel x86). Experience with FPGA-based board designs. Good understanding of high-speed board design and signal integrity concepts. Familiarity with system interfaces: PCI, PCIe, VME, Compact PCI, ATCA/AMC is a plus. Exposure to embedded hardware design for defense applications. Understanding of qualification processes for industrial/defense-grade products. Proficiency in board bring-up and hardware debugging techniques. Technology Domains Storage Technologies: iSCSI, SATA, Fibre Channel Processors: MIPS, ARM, PowerPC Interfaces: USB, PCIe, PCI-X Memory: DDR, DDR2, RLDRAM Soft Skills & Attributes Strong verbal and written communication skills Excellent interpersonal and teamwork abilities Proactive and solution-oriented mindset Strong time management and organizational skills Opportunity to work on cutting-edge hardware design projects in embedded and defense domains Exposure to the complete hardware development lifecycle Collaborative and inclusive work culture Learning and development support Competitive compensation package Qualification : M.E./M.Tech. in Electronics & Communication

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Job Title: Software Design & LabVIEW Engineer Location: Bengaluru Overview: Join CynLr s Product Design and Algorithm Team as a Software Design & LabVIEW Engineer, where you will be instrumental in developing LabVIEW code for advanced algorithms and experiments, optimizing performance, and supporting the software development lifecycle with strong architectural discipline. You will also provide critical interface and support for hardware-in-the-loop validation and customer implementation. Key Responsibilities: LabVIEW Development & Experimentation Translate concepts and algorithms from Design and Algorithm teams into well-structured LabVIEW code and experiments. Optimize LabVIEW code for timing and memory performance. Build custom data visualizations and user-friendly UI elements to accelerate experimental workflows. Enhance Lab experiment applications for usability and efficiency. Code Refactoring & Architecture Understand and apply established LabVIEW design patterns and coding standards (including STQ). Refactor legacy spaghetti code to comply with architecture and design guidelines. Document and maintain code quality and design consistency. Software Development Lifecycle Integration Implement and maintain source and version control using GIT or equivalent tools. Integrate evolving C++ DLL libraries seamlessly into LabVIEW codebases without disruption. Verification & Validation (V&V) Develop test cases and execute validation tests for C++ and LabVIEW code. Perform hardware-in-the-loop testing to validate algorithm functionality and performance. Customer Interface & Support Assist in application implementation and provide technical support to customers. Serve as a LabVIEW knowledge resource for the Algorithm and Design engineers and onboard new team members. Job Requirements: Programming Fundamentals Strong understanding of Data Flow programming paradigm and parallel programming in LabVIEW. Experience with dynamic thread management and service spawning. Software Design & Development Proven involvement in the full software development lifecycle, including distributed development with source/version control (GIT). Expertise in State Machine architecture and familiarity with other design patterns applied in LabVIEW. UI/UX Skills Proficient in building custom controls, data visualizations, and UI elements (experience with XControls is a plus). Strong knowledge of subpanels, resolution reflow, and splitter management for UI design. LabVIEW IDE Expertise Deep knowledge of VI Server (methods and attributes) and VI scripting (preferred). Mastery of LabVIEW project and environment settings, including front panel customization, function palettes, debugging, VI properties, and productivity features. Connectivity & Hardware Interface Experience integrating .dll libraries and C++ header files into LabVIEW applications. Familiarity with registry coding is advantageous. Hands-on experience with communication protocols including Ethernet (UDP, TCP), RS232/485, and industrial protocols like Modbus, CAN, etc.

Job Title: Software & Algorithm Design Engineer Robotics Location: Bengaluru Overview: We are seeking a talented Software and Algorithm Design Engineer to join our Robotics team. The ideal candidate will have a strong foundation in machine learning, computer vision, and image processing, coupled with practical experience in developing and optimizing algorithms for real-world robotics applications. This role demands proficiency in C++, familiarity with GPU computing, and a systems-level approach to problem-solving. Key Responsibilities: Develop and model new Machine Learning architectures and algorithms from the ground up. Apply expertise in machine vision and image processing to solve complex robotic perception problems. Classify and evaluate various ML models, understanding their benefits, limitations, and evolution. Parameterize problems with a clear understanding of system-level and process-level impacts. Translate and optimize DSP and/or Neural Network-based algorithms for high performance. Build robust test frameworks to validate algorithm correctness and performance. Collaborate closely with cross-functional teams to deliver production-ready, reliable robotics software beyond prototyping stages. Document code and algorithm design meticulously to ensure maintainability and clarity. Utilize GPU technologies, including CUDA, to accelerate algorithm performance. Required Skills & Qualifications: Strong grasp of Machine Learning fundamentals and practical ML toolkits. Proficient in C++ (Python proficiency assumed). Solid background in Machine Vision and Image Processing. Understanding of control systems is a plus. Familiarity with GPU application development and CUDA programming (expert level not required). Experience optimizing algorithms related to DSP or Neural Networks. Skilled in building comprehensive test frameworks for software validation. Passionate about documentation and writing clean, readable code. Comfortable working within a software development lifecycle to create production-quality software. Preferred Knowledge: ML Architectures and Neural Networks Digital Image Processing & Machine Vision CPU and GPU Architectures CUDA and GPU Programming Basic Software Design Patterns Memory Architecture & Optimization Techniques Algorithm Performance Optimization Tools & Technologies: C++ CUDA cuDNN and other machine learning frameworks Computer Vision libraries (e.g., OpenCV)

Job Title: Automation & Instrumentation Engineer Location: Bengaluru Role and Responsibilities Electrical Integration: Integrate CyRo s electrical systems (power supplies, sensors, actuators) with customer equipment and facilities, ensuring seamless compatibility and reliability. Design and implement custom electrical interfaces such as harnesses, connectors, and junction boxes to connect CyRo systems with customer-specific infrastructure (e.g., conveyors, AMRs, SCADA). Configure and validate CyRo s Industrial PC (IPC) and control systems to enable smooth communication with customer devices and networks. Sensor and Actuator Configuration: Configure, calibrate, and optimize CyRo s sensors (vision systems, force-torque sensors) and actuators (grippers, motion controllers, robotic arms) to fulfill application-specific needs. Troubleshoot sensor and actuator performance during integration to ensure alignment with customer workflows. Safety and Compliance: Design and implement safety-rated electrical systems including emergency stop circuits, light curtains, and safety interlocks, adhering to industry standards such as ISO 13849 and IEC 61508. Conduct risk assessments and incorporate protective components like fuses, circuit breakers, and relays to guarantee system safety and reliability. Deployment and Commissioning Support: Support deployment and commissioning of CyRo systems in customer environments, ensuring proper electrical integration and functionality. Diagnose and resolve electrical issues onsite, collaborating with customer teams and internal stakeholders. Assist in validation tests to confirm system performance and compliance in real-world scenarios. Documentation and Training: Prepare detailed documentation including electrical schematics, wiring diagrams, and integration guides for customers. Develop and conduct training sessions for customer teams on operation, maintenance, and troubleshooting of CyRo electrical systems. Maintain accurate records of integration designs, test results, and customer feedback to drive continuous improvement. Skills and Experience Strong proficiency in electrical system design covering wiring, connectors, and power distribution. Experience integrating robotic and automation machinery within industrial customer environments. Hands-on expertise with industrial sensors (vision, force-torque) and actuators (grippers, motion controllers, robots). Solid understanding and implementation experience of industrial communication protocols such as EtherCAT, Modbus, TCP/IP. Familiarity with safety-rated electrical systems and relevant industry standards (ISO, IEC, OSHA). Experience configuring and integrating IPCs, PLCs, and similar control hardware. Proven troubleshooting and optimization skills in live industrial settings. Excellent communication and teamwork abilities for cross-functional collaboration and client interactions. Required Qualifications Bachelor s or Master s degree in Electrical Engineering, Mechatronics, or related disciplines. Minimum 3 years experience in electrical systems design, automation, and system integration. Strong knowledge of industrial communication protocols, safety compliance, and electrical design fundamentals. Demonstrated success in deploying and integrating automation systems in industrial environments. Additional Preferred Qualifications Experience with cobots and industrial robotic arms. Familiarity with LabVIEW and C++ programming. Knowledge of integration with enterprise systems such as WMS, OMS, ERP. Experience with IIoT devices and SCADA systems. Qualification : Bachelors or Masters degree in Electrical Engineering, Mechatronics, or related disciplines.

Senior Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation. Our platforms Cognite Data Fusion and Cognite Atlas AI enable companies across Energy, Utilities, Manufacturing, and Chemicals to solve complex challenges using AI, contextual data, and automation. Cognite is backed by top-tier investors and recognized with global innovation awards. Our Values Impact: We deliver results that matter. Ownership: We take initiative, act inclusively, and embrace accountability. Relentless: We pursue excellence and innovation with resilience. About the Role As a Senior Data Engineer, you ll lead the development of scalable data solutions that empower critical industries to make informed decisions. You ll work on high-impact projects across regions, collaborating with solution architects, data scientists, and product teams. This is a growth role with room to influence product direction and mentor junior engineers. Key Responsibilities Architect and implement robust data pipelines using Cognite Data Fusion, Python, SQL, and REST APIs. Lead integrations, data modeling, and transformation tasks using cloud-native technologies. Design custom data models for discovery, mapping, and cleansing industrial data. Collaborate closely with cross-functional teams to deliver digital solutions. Conduct code reviews and champion engineering best practices. Contribute to Cognite s SDKs and internal tools. Translate customer use cases into scalable, reusable data engineering frameworks. Mentor team members and support customer onboarding when needed. What You ll Bring Bachelor s or Master s in Computer Science or related field (or equivalent experience). 5+ years in a data-intensive, customer-facing engineering role. Expertise in Python, SQL, REST APIs, and pipeline orchestration. Experience with distributed computing, Kubernetes, and cloud platforms (Azure, GCP). Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Strong DevOps mindset with hands-on experience in Git, CI/CD, and deployments. Proactive and collaborative; able to work independently and solve complex challenges. A growth mindset with willingness to ask for help and share knowledge openly. Be part of a global team spanning 70+ nationalities with strong DEI focus. Work at our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Enjoy flat hierarchy, fast decision-making, and high ownership culture. Collaborate with world-class professionals on industry-transforming projects. Shape the future of industrial data and drive real-world impact at scale. If you re passionate about solving meaningful problems with cutting-edge data technologies, apply today. We welcome applicants from all backgrounds and experiences you might be the perfect fit, even if you don t meet every single requirement. Qualification : Bachelors or Masters in Computer Science or related field (or equivalent experience).

Android Developer - I Location: Bangalore, Karnataka | Tech About the Team When 5% of Indian households shop with us, it s important to build resilient systems to manage millions of orders every day. We ve done this with zero downtime! Sounds impossible? Well, that s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We ve taken steps to inculcate a strong Founder s Mindset across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. Software Development Engineer - I Android, you will be part of self-starters who thrive on teamwork and constructive feedback. We know how to party as hard as we work! If we aren t building unparalleled tech solutions, you can find us debating the plot points of our favorite books and games or even gossiping over chai. So, if a day filled with building impactful solutions with a fun team sounds appealing to you, join us. About the Role We are seeking problem solvers to join our team of Android Developers. We want candidates with experience in programming, user interfaces, and/or tools supporting applications on Android using the Android SDK. As SDE I - Android, you will gain experience in building maintainable and testable code bases, including API design and unit testing techniques. If you are interested in joining a world-class team of passionate engineers who work hard and play hard, we look forward to hearing from you. What you will do: Perform code reviews, write unit tests, and contribute to architectural planning and refactoring. Work on bug-fixing and improving application performance. Design and build new features and improvements for the Android platform. Mentor interns and support team members. Collaborate closely with QA, Engineers, Product Managers, and Designers across the company. Collaborate with cross-functional teams to define, design, and ship new features. What you will need: BE/BTech/BCA/BSc in any discipline. 1+ years experience in a relevant role. Experience having worked on two or more Android apps in the past. Familiarity with Java, Kotlin, Android SDK, and the ecosystem. Familiarity with Material Design guidelines, common mobile UX patterns, and anti-patterns. Experience with common Android libraries like Retrofit, OkHttp, Picasso, RxJava, Gson Arch-components etc. Experience with different programming paradigms, esp. functional and reactive programming. Familiarity with consuming REST APIs, and what makes them RESTful. Familiarity with Git and continuous integration. Proficiency at object-oriented programming and multi-threading. Understanding of advanced Android concepts like Custom Views, Accessibility Services, background processing APIs. Understanding of different architectural patterns (esp. MVVM) and their testability. Proficiency at debugging, including identifying memory leaks, performance bottlenecks and using tools like ADB, Proguard, etc. Ability to tell good design from bad design. Ability to write clean, maintainable code which others can work on. Apps published to Play Store are a plus. About Us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform; we're your partner in turning dreams into realities. Curious about life at Meesho? Our people have a lot to say and they've made us the top-rated e-commerce workplace on Glassdoor. Our Mission Democratising internet commerce for everyone- Meesho (Meri shop) started with a single idea in mind -to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online. We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost. Over 1.75 million sellers are registered on Meesho, growing their business by tapping the company s massive customer base, state-of-the-art tech infrastructure, pan-India logistics at the lowest cost through third-party logistics providers in an 'Everyday Lowest Cost' channel for sellers. Affordable, relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country. We cater to an underserved and unique customer base and cover every serviceable pincode in the country. Our unique business model and continuous innovation has enabled us to become the first Indian horizontal E-commerce company. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprises of a comprehensive set of elements - monetary, non-monetary, tangible, and intangible in nature. Our 11 guiding principles, or "Mantras," are the backbone of how we operate - influencing everything from recognition and evaluation to growth discussions. Daily rituals & processes like Reflections , Listen or Die , Internal Mobility Program, Talent Reviews, Continuous Performance Management - all embody these principles. We provide market leading compensation - both cash and equity-based - specific to job roles, individual experience and skill along with our employee centric benefits and work environment. We focus extensively on holistic wellness - through our MeeCare Program - encompassing benefits and policies across physical, mental, financial, and social wellness aspects. This includes extensive medical insurance benefits for employees and their families, wellness initiatives like telehealth, wellness events, and gym & recreational discounts etc. To support work-life balance, we provide generous leave policies, parental support benefits, retirement benefits, and learning and development assistance. Through gratitude...

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Experience in micro architecture and requirements/implementation for automotive designs (focused on functional safety) and their Safety Analysis work products like concept FMEDA, DFA, DFMEA, FTA, FMEDA, etc. including FuSa compliant IP development and third-party IP compliance/deliverables/DIA. Responsibilities shall include the following: Developing a system level safety concepts and requirements for ADAS and IVI use cases with customer implementations in mind and to integrate Qualcomm s hardware in leading Automotive OEM and Tier 1 safety critical systems. Work in collaboration with 3rd party, Customer, and Automotive Stack suppliers, Hardware component suppliers (PMIC, DRAM, Sensor, etc) to ensure all aligned customer system level requirements are met Work with IP and SoC teams on the implementation of Technical Safety Concepts (TSCs) on Qualcomm s Snapdragon automotive hardware. Work with various technology teams on architectural features that would enable targeted safety levels (ASIL B to ASIL D, depending upon the technology team and system level requirements) to meet customer targets Conducting safety analyses, both quantitative and qualitative, fault campaigns on automotive hardware designs and identify areas of improvement. Responsibilities will include leading functional safety related activities for SoC development and ensure ISO 26262 compliance with respect to SoC architecture, development processes and work products. Work closely with SoC Design and IP teams, Software team, Quality teams, the functional safety manager(s) as well as customers to ensure the functional safety process is executed and documented. Working with vendors and partners to ensure functional safety requirements are fulfilled by the components that they provide Work with internal and external functional safety assessors to ensure compliance with ISO 26262 Create functional safety collateral for customers viz. Functional Safety Manual, Safety Analyses Reports, dedicated application notes etc. Supporting customer assessments of our safety features and recommending HW and SW based solutions that meet overall system targets. Working closely with customers and supporting them on various functional safety related aspects Minimum Qualifications Bachelor s degree in engineering, Information Systems, Computer Science, or related field. 8+ years Systems Engineering, SoC Integration, Verification, or related work experience. Collaborative work experience with good communication skills involving customers, vendors, and internal development teams. Structured problem-solving capability and ability to work with teams on root cause analyses. Preferred Qualifications 5+ years Automotive experience and familiarity with Safety work products, experience with Functional Safety Hardware and/or Software development in semiconductor industry meeting IS0 26262/ IEC 61508 standards. Prior automotive experience in ADAS and self-driving systems preferred. System level Functional safety analysis experience on Hardware/Software components integration preferred SoC/IP integration or verification with good understanding of SoC Architecture and IP design experience preferred Requirements Management Tools and establishing traceability for functional safety requirements e.g. DOORS, etc. Familiarity with Failure Modes and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) is required experience using tools to perform FMEA, FTA preferred Familiarity with hardware failure rate calculation (FMEDA) experience using Siemens 29500 and/or IEC 62380 preferred Relevant Safety Certification is desired e.g. CFSE, CFSP Qualification : Bachelors degree in engineering, Information Systems, Computer Science, or related field.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Summary: (Sr. Lead Engineer) Qualcomm Simulation platform team would be responsible for defining/prototyping/developing software s on the emulation platforms. Looking for an experienced BSP engineer for virtual platform, who can help us is developing virtual prototype software solution for snapdragon automotive products. Candidate must have an excellent understanding of the complex SoCs architecture & its Software stack. Education & Experience: Bachelor s/master s degree in computer science, electronics engineering, or relevant domain with 6~8 years relevant industry experience. Primary Responsibility: Software (BSP) Bring-up on Virtual Platforms. Understand the emulation platform SoC architecture and develop single software solution. Ability to collaborate with cross functional teams and deliver the quality product under strict timeline. Define & develop custom virtio architectures. Pre-silicon software development platform prototype development Develop solution to improve performance of software running on Virtual platform. Supporting internal & external customers on Bring up & debugging from Software & emulation side. Mandatory Skills: Knowledge in Linux/QNX BSPs & Full Boot Chain. Strong System level programming skills in C/C++. Python, Rust is a plus. Excellent knowledge of OS fundamentals, Data structures, Linux kernel and its device driver model Strong debugging, analytical and problem-solving skills. Should have knowledge on debuggers like T32,gdb, etc., Strong collaboration skills with the ability to collaborate with multiple functional teams. Able to understand and debug large complex SW. Fair understanding of CPU (ARM), subsystems, SOC architecture and its SW-layers Fair understanding of the Virtual Machines with Type1 and Type2 Hypervisors Added Advantage: Fair understanding of QEMU/KVM platforms. Fair understanding of multimedia systems (GPU/Display/CAM/VPU/etc.,) knowledge. Fair knowledge of hardware-software interface and SystemC ASPICE and ISO26262 know how is preferred. Automotive experience is preferred. Qualification : Bachelors/masters degree in computer science, electronics engineering, or relevant domain with 6~8 years relevant industry experience.

About the Job: Join a diverse team at Google dedicated to pushing boundaries and developing custom silicon solutions that power the future of Google s direct-to-consumer products. You will play a crucial role in shaping the next generation of hardware experiences that deliver unparalleled performance, efficiency, and integration across the globe. At Google, we combine the best of AI, software, and hardware to create innovative products that are loved by millions worldwide. Our mission is to organize the world s information and make it universally accessible and useful, and we aim to improve lives through cutting-edge technology. As a Senior Digital Design Verification Engineer, your expertise will contribute to the development of highly complex SoCs (System on Chips) and custom silicon solutions, ensuring they meet Google s high standards for performance and reliability. Responsibilities: Verification Planning & Design: Plan the verification of digital design blocks at the Sub-System level. Work closely with design engineers to fully understand the design specifications and identify important verification scenarios. Verification Environments: Create and enhance constrained-random verification environments using SystemVerilog and UVM (Universal Verification Methodology). You will also leverage formal verification tools and techniques, including SVA (SystemVerilog Assertions), for design validation. Debugging & Collaboration: Work closely with design engineers to debug and identify functional issues in design blocks, ensuring the delivery of functionally correct designs. Cross-functional Collaboration: Collaborate with architecture, design teams, software teams, and other stakeholders to define and execute the overall verification strategy for SoCs. Verification Ownership: Take ownership of functional verification for intellectual property (IP), serving as the primary point of contact for cross-functional teams to resolve issues and ensure a smooth integration process. Quality Assurance: Drive and contribute to the quality assurance process to ensure a high standard of verification and successful delivery of designs. Minimum Qualifications: Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field (or equivalent practical experience). 8 years of experience working with verification methodologies and languages such as UVM and SystemVerilog. Proven experience in developing and maintaining verification testbenches, test cases, and environments. Preferred Qualifications: Master s Degree in Electrical Engineering, Computer Science, or a related field (or equivalent practical experience). Experience with low power verification, debugging, Gate Level Simulation (GLS), and formal verification techniques. Track record in successfully leading design verification for IPs, delivering them to multiple SoCs. Proven experience in driving cross-functional teams to ensure quality tape-outs and navigating dependencies with various stakeholders. Strong expertise in driving or owning sub-system level verification and managing all associated complexities. Innovation at Scale: Contribute to building revolutionary hardware and software products used by millions of people across the world. Growth & Learning: Collaborate with world-class engineers and learn from experts in the field. Cutting-edge Technology: Work at the intersection of AI, software, and hardware to shape the future of computing. If you re passionate about digital design verification and eager to contribute to cutting-edge silicon solutions, we d love to hear from you. Join Google s mission to make people s lives better through technology! Google is an equal opportunity employer.

Software Engineer Power/Thermal Software Products Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world-class products that meet and exceed customer needs. You will collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Job Description Job Overview: The Power/Thermal Software Products Team at Qualcomm focuses on delivering industry-leading power, thermal, and limit software management solutions across Qualcomm s Mobile, Automotive, Compute, IoT, and AR/VR chipsets. In this role, you will work with cross-functional teams to: Identify power optimization and performance tuning opportunities. Perform thermal/limits hardware tuning, characterization, and risk assessment. Develop optimized solutions and mitigation strategies. Conduct system-level analysis of power/thermal use cases. Collaborate with Architecture, Hardware Design, Performance, Power/Thermal Systems, and various Software teams to create optimal system-level power/thermal software solutions. Develop tools and methodologies for competitive analysis to understand competitors strengths and weaknesses. Design and implement thermal mitigation schemes that are best in the industry. Preferred Qualifications 3+ years of experience with Programming Languages such as C, C++, Java, Python, etc. Strong systems/hardware background with a solid understanding of microprocessor architecture and common SoC hardware blocks (interconnects, display, graphics, etc.). Good understanding of operating system concepts including scheduling, memory management, process management, interrupt handling, and device drivers. Experience using debug tools such as JTAG debuggers, oscilloscopes, and logic analyzers. Experience developing power/thermal management software. In-depth knowledge of embedded systems, microcontrollers, SoC power, modems, multimedia, wireless communications, and system-level debugging/analysis for SoC power optimization. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number found on their website. Upon request, reasonable accommodations will be provided to support individuals with disabilities during the hiring process. Qualcomm is also committed to ensuring its workplace is accessible to individuals with disabilities. (Please note that this email address is exclusively for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries via this email.) Recruitment Policy Qualcomm s Careers Site is only for individuals seeking employment directly with Qualcomm. Staffing and recruiting agencies, as well as candidates represented by agencies, are not authorized to use this site to submit profiles, applications, or resumes. Any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies and is not responsible for any associated fees. Compliance Notice Qualcomm employees are expected to comply with all applicable policies and procedures, including but not limited to security requirements and protection of company confidential and proprietary information, in line with applicable laws. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

Senior Memory Design Engineer Company Arm Location Noida, India Job Description This opening is for a Senior Memory Design Engineer in our PHYSICAL IP MEMORY group in Noida. We work on innovative memory architectures in leading-edge technology nodes to enable the best Arm Systems across all markets. As a memory design professional, this position is a rare opportunity to work with our successful circuits, characterization, and layout team, and gain a deep understanding of memory usage in SoCs based on Arm cores. You will discover a wide variety of circuit innovations while working on different types of memories in cutting-edge process technologies. Responsibilities In this role, you will be working in the following areas: Work on memory architecture development in the latest technologies. Transistor-level full-custom design and collaboration with the physical design team for layout realization. Develop new design features and perform circuit/layout optimizations to meet Performance, Power, and Area targets. Lead memory design verification and characterization activities. Ensure high-performance memory designs with the lowest possible power, as needed for Arm CPUs, GPUs, and SOCs. Required Skills and Experience 5-8 years of proven experience in memory design. Strong interest and command of basic electronics (Diodes, RC Circuits, CMOS, etc.). Solid understanding of digital electronics fundamentals (Flip-Flops, Latches, Decoders, Multiplexers). Understanding of setup and hold time concepts. In-depth knowledge of memory fundamentals, especially single-port SRAM: Circuit design (Bitcell, WL decoder, Sense Amp, Self-time, Assist, Low power features, DFT features). Good understanding of technology trade-offs in deep sub-micron technologies. Self-motivated, hardworking, and positive outlook. Strong organizational skills with attention to detail. Nice-to-Have Skills and Experience Understanding of advanced process technology nodes and memory product layout implementation. Experience with shell scripting, machine learning (ML), and automation. Knowledge of statistical simulations (e.g., Monte Carlo). What Arm Offers Arm is committed to global talent acquisition and offers an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, and meritocratic workplace where everyone can grow and succeed, we encourage our people to make exceptional contributions to Arm's success in the global marketplace. Accommodations at Arm If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. By sending the requested information, you consent to its use by Arm to arrange appropriate accommodations. All accommodation requests will be treated with confidentiality, and information will only be disclosed as necessary to provide the accommodation. Examples of support include breaks between interviews, having documents read aloud, or office accessibility. Hybrid Working at Arm Arm s hybrid working approach is designed to create an environment that supports both high performance and personal wellbeing. We believe in bringing people together face-to-face to enable faster work while recognizing the value of flexibility. Hybrid working patterns depend on team and role requirements, which will be discussed upon application. Some flexibility might be limited by legal, regulatory, tax, or other considerations. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to fostering an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Senior Custom Standard Cell Design Engineer Company Arm Location India Job Overview The Solutions Engineering Physical IP team at Arm is home to some of the industry s top experts in deep submicron circuit design. This role offers an exciting opportunity to work with the custom standard cell design engineering team, contributing to cutting-edge technologies. Your work will have a long-lasting impact, as these designs will power Arm s Solutions Engineering products across infrastructure, client, automotive, and IoT market segments. Responsibilities Develop Arm custom standard cells in leading-edge sub-3nm process technology nodes. Collaborate closely with physical design engineers to co-optimize circuit and layout for improved Performance, Power, and Area (PPA) in Arm cores integrated into world-class SoCs. Work with mask design teams to provide optimally tuned layouts. Characterize and model all standard library views. Validate standard cells using comprehensive QA flows across various EDA tools. Required Skills and Experience Bachelor s degree in Electrical Engineering with 8+ years of relevant circuit design experience, or Master s degree in Electrical Engineering with 6+ years of relevant circuit design experience. Proven experience identifying, designing, and verifying cells to optimize core and SoC level PPA. Deep understanding of MOSFET electrical characteristics, transistor-level device physics, and PPA trade-offs, especially at 3nm and below technology nodes. Expertise in designing static circuits, including state-retaining elements such as latches and flip-flops. Hands-on experience with standard cell characterization, modeling, and QA processes. Experience with standard cell characterization tools and SPICE circuit simulators. Proficiency in scripting languages such as Perl or Python. Strong interpersonal skills, with a willingness to mentor and support team members. Demonstrated problem-solving ability, persistence, and creativity in tackling difficult technical challenges. Positive team-oriented attitude, showing respect for all team members. Motivation to continuously develop new skills and take on various responsibilities. Ability to analyze complex data sets and present conclusions effectively. Nice-to-Have Skills and Experience Experience leading engineering teams, including project management and risk communication. Exposure to physical design implementation flows and sign-off processes. What Arm Offers Arm is committed to global talent acquisition and offers an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, meritocratic, and open workplace, Arm empowers every team member to grow, succeed, and make a meaningful contribution to the company's global success. #LI-KR2 Qualification : Bachelors degree in Electrical Engineering with 8+ years of relevant circuit design experience, or Masters degree in Electrical Engineering with 6+ years of relevant circuit design experience.

Job Overview: The Architecture and Technology Group (ATG) at Arm develops technologies and products for Arm s future architecture roadmap. In ATG, we are developing world-leading Secure CPU and System architectures and associated technologies; enabling our ecosystem to build compelling products. Along with the architecture definition, ATG develops products to confirm compliance to the architecture. The ATG team located in Bangalore develops a product called Architecture Compliance Kits (ACK) that are delivered to multiple internal and external CPU design teams to validate that Arm architecture CPU implementations are compliant with the Arm architecture. You will learn Arm Architecture and apply it along with hardware and software verification skills to develop products for verifying the Architecture. You will develop good engineering and technical skills, and a fair understanding of CPU architecture and microarchitecture. You will connect with a wide range of teams within ATG, architects, and with our external partners. In this role, you will also develop solutions for future Arm architecture developments and influence the product offering. Responsibilities: Technical expertise, understanding architecture definitions, carrying out investigations and feasibility studies, defining and developing verification strategies, and contributing to the development of compliance products. Design verification test plans and test cases in assembly, C, HVL, and higher abstraction languages using automation techniques as needed. Strong and continuous communication on deliveries and risks, ensuring that all engineering commitments are delivered successfully. Drive efficiency improvements through adoption of the right development flows and methodologies. Excellent verbal and written communication skills. Required Skills and Experience: B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering. 8+ years of verification experience (CPU/complex IP verification is a plus). Strong understanding of computer architecture. Proficiency in logical programming using C/C++/Assembly with experience in adopting software engineering best practices. Nice To Have Skills and Experience: Experience in CPU verification would be a plus. Knowledge of x86 or Arm processor architecture. We are guided by our core beliefs that reflect our culture and guide our decisions, defining how we work together to surpass ordinary and craft outstanding products and careers. In Return: We promise you endless opportunities to experiment and go even further in hardware! From architecture definition to complex core implementation to full custom physical IPs, here you'll have our backing to push limits in vital areas. #LI-KR2 Qualification : B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering.

Job Description: As a Staff Engineer in Arm's Solutions Engineering group, we like to think we are not just crafting sophisticated SoCs, but we are defining future chip design techniques. Not only do we improve the power, performance, and system integration of our products, but we also craft the design flows, influence Electronic Design Automation (EDA) tools, and build the knowledge base that makes custom SoC and CPU chip design possible. At Arm, our work goes beyond multiple divisions where we drive improved implementation for Arm and our partners. A key component of this is around the development of comprehensive implementation and analysis methodologies. Responsibilities: Synthesis, Physical design, and implementation of CPU cores, system interconnect, and other Arm IP. Analyze design timing, area, and power to help improve the quality of Arm IP. Develop and deploy new methodologies to improve implementation efficiency and results. Support and develop detailed implementation analysis and data-mining methodologies. Work with implementation and physical IP RTL design teams to drive analysis and optimization of our IP. Converting R&D concepts into real implementation solutions. Enable our partners to achieve the best possible quality of results. Required Skills and Experience: Bachelor s or Master s degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields. 8+ years of proven experience in ASIC Implementation, Physical design, STA and Timing closure, Structured clock tree, PDN analysis, DFM, and Physical verification. Possess a high level of dedication, initiative, and problem-solving skills. Experience in crafting and adopting new silicon implementation techniques and methodologies, and promoting their use with international teams. Previous experience in and knowledge of the entire IC design flow, from RTL through to GDS2. Experience working closely in top and block-level Synthesis, Floorplanning, Place and Route, CTS, logical and physical optimization, timing closure, and power analysis flows. Proven programming and scripting skills (e.g., Tcl, Perl, and R). Nice To Have Skills and Experience: Knowledge around Arm-based SoCs! Experience with a wide range of programming, scripting & data presentation languages (e.g., Tcl, sh, csh, make, R, C, C++, Java, JS, HTML, Perl, Python, and Ruby). Experience with low-power design techniques (power gating, voltage/frequency scaling). Experience with Verilog RTL design. Experience with ATPG tools and/or production testing. In Return: Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals and do not discriminate on the basis of any characteristic. #LI-KR2 Qualification : Bachelors or Masters degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields.

Engineer - Enterprise Platform (E-commerce) Job Overview Engineer - Enterprise Platform in E-commerce with 3-7 years of experience. Extensive proficiency in middleware MVC, JavaScript, CSS, web components, data management, integration, agile development, security, API, SOQL, SOSL, Salesforce, Apex, deployments, LWC, and HTML5. Strong understanding of middleware MVC for system communication. Skilled in front-end development, web components, and data management. Experienced in agile methodologies, information technology, and security principles. Responsibilities include designing and implementing custom solutions, creating RESTful APIs, collaborating with diverse teams, conducting code reviews, upholding coding standards, and staying updated on Salesforce features. Good to have experience in requirement analysis, mentoring, CI/CD tools, and strong interpersonal skills. Bachelor's degree in Computer Science or related field required, with preference for Salesforce Certified Platform Developer II and AWS Certified Solutions Architect - Professional certifications. Roles & Responsibilities Design, develop, and implement advanced custom solutions using Salesforce Lightning Web Components (LWC) and Apex in an enterprise platform environment. Create and maintain RESTful APIs for seamless integration between Salesforce and external systems, ensuring data consistency and security. Collaborate with diverse teams, including business analysts and project managers, to gather requirements, design solutions, and deliver business-driven outcomes. Conduct thorough code reviews, identify and debug issues, and provide technical mentorship to junior developers to enhance their skills and knowledge. Uphold best practices in coding standards, security protocols, and performance optimization throughout the software development lifecycle. Stay abreast of the latest Salesforce features and updates, proactively suggesting enhancements and innovations for continuous improvement. Leverage expertise in Salesforce administration, configuration, and data management to streamline processes and enhance system efficiency. Demonstrate proficiency in SOQL, SOSL, and integration techniques to build robust Salesforce solutions. Engage in requirements analysis, design, testing, and deployment phases with meticulous attention to detail. Possess excellent problem-solving abilities and collaborate effectively within the team and with non-technical stakeholders. Preferred qualifications include Salesforce certifications, familiarity with other Salesforce development tools, Agile methodologies, and CI/CD practices. Our Ideal Candidate Extensive experience in middleware MVC, JavaScript, CSS, web components, data management, integration, agile development, information technology, security, API, SOQL, SOSL, Salesforce, Apex, deployments, LWC, and HTML5. Proficiency in these skills should range from intermediate to advanced levels for candidates with 3-7 years of experience. Understanding middleware MVC is crucial for managing communication between systems and enabling seamless data flow. Proficiency in JavaScript and CSS is necessary for front-end development and enhancing user interfaces. Knowledge of web components is vital for building modular and reusable web elements. Expertise in data management is required to ensure efficient storage, retrieval, and manipulation of data. Experience in integration and agile development methodologies is important for collaborative and iterative project execution. Understanding information technology and security principles is essential for maintaining system integrity and data protection. Proficiency in API development, SOQL, SOSL, Salesforce, Apex, deployments, LWC, and HTML5 is crucial for developing scalable and secure Salesforce applications. Skills in Salesforce, Lightning Web Components, RESTful APIs, Apex, SOQL/SOSL, HTML5, CSS, and JavaScript are particularly prioritized for this role at EBAY. A Bachelor's degree in Computer Science, Information Technology, or a related field is required for this position. Salesforce Certified Platform Developer II and AWS Certified Solutions Architect - Professional certifications are preferred for this role. Company Overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infusing speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps companies get unstuck . We re a technology company that gives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organizations talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : A Bachelor's degree in Computer Science, Information Technology, or a related field is required for this position

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.