System Development Engineer Jobs in Bengaluru

MTS - Software Developer (Cloud AI Network Security Developer) Location: Bengaluru Company: Aviatrix Experience: 1 3 years About Aviatrix: Aviatrix is a cloud network security leader trusted by over 500 enterprises. We specialize in securing multi-cloud environments, offering runtime protection and advanced control for modern cloud infrastructures. Role Strategy & Impact In this role, you will build next-generation intelligent cloud network security solutions. You will focus on developing Python/Go microservices that fuse network visibility with LLM-driven insights to redefine cloud firewall capabilities. Technical Requirements Core Competencies: Development: Professional experience in Go (Golang) or Python. Cloud Networking: Fundamentals of Routing, NAT, VPNs, and Subnets. Security: Understanding of Firewall concepts (ACLs) and Zero Trust architecture. AI Integration: Experience using AI/LLM APIs (OpenAI, Vertex AI, etc.). Data Infrastructure: Workflows involving Kafka, data ingestion, and stream processing. Cloud Ecosystem: Hands-on familiarity with AWS, Azure, or GCP. Preferred Qualifications: Network Observability: Experience with NetFlow, IPFIX, or VPC Flow Logs. Modern DevOps: Hands-on with Kubernetes, Container Networking, and Terraform. Generative AI: Knowledge of Prompt Engineering or RAG-based systems. Key Responsibilities Control Plane Development: Build services for firewall rules and policy orchestration. AI Workflows: Integrate LLM-based assistants for anomaly detection and alert summarization. Telemetry Pipelines: Maintain high-performance data pipelines for security event metrics. Security Logic: Design logic for threat pattern recognition and posture scoring. Benefits & Why Join Us Global Benefits: Private medical, pension, and life assurance. Work-Life Balance: Generous holiday allowance and annual wellbeing stipend. Growth Mindset: We value diverse paths if you are passionate about AI and Security, we want to hear from you.

Senior Regulatory Affairs Specialist Location: Bangalore Company: AliveCor About AliveCor & The Opportunity AliveCor is a pioneer in **over-the-counter medical ECG devices**, dedicated to making heart health accessible. The company s **FDA-cleared medical-grade hardware and software** have enabled millions of heart health measurements, making a life-saving impact. We are seeking a **Senior Regulatory Affairs Specialist** to join our growing team. This is a critical role focused on **shaping regulatory strategy** for innovative mobile health technologies, managing product submissions, and ensuring compliance with international regulatory standards, including **ISO 13485 and FDA** Quality Systems. Role & Responsibilities As a Senior Regulatory Affairs Specialist, you will: Collaborate & Execute Regulatory Strategies: Work with product teams to **develop and execute global regulatory strategies** for registrations in the US, Europe, and other key regions. Manage Regulatory Submissions: Participate in the preparation and review of **global regulatory submissions**, including **510(k), de novo**, and other medical device filings. Support Government Interactions: Serve as the point of contact for regulatory agencies such as the **FDA, EU MDR**, and other international authorities, ensuring timely product approvals and licenses. Global Market Registrations: Drive product **registrations and renewals** for worldwide markets, supporting distributors with compliance documentation. Review & Approve Technical Documents: Assist in reviewing advertising, promotional materials, and technical documentation to ensure **compliance with applicable regulations**. ISO 13485 & FDA Compliance: Help implement and maintain an **ISO 13485 and FDA-compliant Quality Management System (QMS)**. Product Development Support: Collaborate with cross-functional teams (Engineering, Product, Quality) to support regulatory requirements during product development and design changes. Post-Market Compliance: Assist in post-market regulatory actions, including compliance with **reporting requirements and audits**. Requirements & Qualifications Experience & Education Experience: **4+ years in Regulatory Affairs within the medical device industry.** Education: Bachelor s degree in Science, Engineering, Math, or a medical field, or equivalent experience. Regulatory Experience with AI/ML: Experience in regulatory affairs for **software devices with AI/machine learning algorithms (SaMD)**. Core Regulatory Knowledge Global Regulatory Knowledge: Experience with **EU Medical Device Regulations (MDR)** and familiarity with regulatory processes in the US, EU, and Asia-Pacific regions. Regulatory Submissions: Experience preparing **510(k) submissions, pre-submissions, or de novo submissions** for medical devices. Skills Project Management: Ability to manage small projects with a focus on being organized, independent, and results-oriented. Analytical & Communication Skills: Excellent analytical, communication, and team collaboration skills, with a keen **attention to detail**. Preferred Qualifications Advanced Degree: Master s degree or regulatory affairs certifications such as **RAPS** (Regulatory Affairs Professionals Society). International Submissions: Experience in international submissions, especially in Asia-Pacific or LATAM regions. Perks & Benefits Working Model: Hybrid Working Model (Flexibility to work both remotely and in the office). Family Leave: Comprehensive Family Leave policies. Medical Benefits: Above-market family floater medical insurance, including coverage for parents/in-law parents. Office Perks: Complimentary lunch provided at the office and convenient metro connectivity. Qualification : Bachelors degree in Science, Engineering, Math, or a medical field, or equivalent experience

Job Title: Design Engineer Location: Bengaluru, Karnataka No. of Positions: 1 2 Industry: Home Automation & AV, Building Automation Joining: Immediate About EBSL Automat Pvt. Ltd. EBSL Automat is a leading provider of innovative home automation solutions, dedicated to enhancing everyday living through intelligent technologies. With a strong presence in the smart living and building automation industry, we offer an exciting and collaborative environment for engineering professionals to grow, innovate, and contribute to transformative projects. Position Overview We are looking for a Design Engineer with a passion for CAD modeling, automation, and system development. This role involves collaborating with engineering, drafting, and operations teams to develop accurate, efficient, and high-quality design solutions. If you're technically inclined, detail-oriented, and eager to contribute to cutting-edge smart automation systems, this opportunity is for you. Key Responsibilities Assist in the development and implementation of CAD modeling and drafting standards for consistent documentation and design. Collaborate with cross-functional teams to incorporate Design for Manufacturability (DFM) and Design for Assembly (DFA) into models and technical drawings. Continuously improve design automation processes to boost efficiency and accuracy. Support engineering operations with tools like spreadsheets, parts lists, BOM (Bill of Materials) generation, and calculation templates. Develop internal system procedures to maintain high-quality standards aligned with industry best practices. Document technical procedures, user manuals, and training materials. Provide technical training and support to team members when needed. Contribute to other engineering or development projects as assigned. Skills & Experience Must-Have: Bachelor's degree in Electrical Engineering or a related field. 1 4 years of relevant experience in industrial or design automation. Good verbal and written communication skills. Team player with the ability to work under tight deadlines. Strong attention to detail, creative problem-solving skills, and analytical thinking. Proficiency in CAD software and understanding of design principles. Experience with engineering tools, ERP systems, and MS Office Suite (Excel, Word, Outlook). Preferred/Good-to-Have: Experience in CAD automation or engineering application development (2+ years preferred). Ability to work as a full-stack developer (desktop, web, client platforms) is a plus. Passion for programming and self-driven learning. Ability to work in flexible shifts as required. Familiarity with home automation or building systems is advantageous. Who Can Apply Candidates with 1 4 years of relevant experience. Freshers with strong academic backgrounds and a passion for design & automation are also encouraged to apply. If you're looking to contribute to the future of intelligent living while advancing your engineering career, we invite you to be part of the EBSL Automat journey. Qualification : Bachelor's degree in Electrical Engineering or a related field

Position: Electrical Engineer Location: Bengaluru, Karnataka, India Reporting To: Project Manager Industry: Semiconductor / Automation Qualifications: Education: Bachelor of Engineering (BE) in Electrical Engineering (Mandatory) Experience: 2 to 5 years in related fields (Control Panels, Power Calculations, Circuit Breakers) Software: Proficient in AutoCAD Electrical 2018 or later Candidate Profile: Preferably from Semiconductor Industry or Automation Sector. Hands-on experience in electrical design and control panel schematics. Essential Skills and Experience: Minimum 1 year experience creating detailed point-to-point schematics for Control Panels, Motor Control Centres, Power Distribution Panels. Minimum 2 years of electrical design experience including: Power calculations Component selection Schematic and Bill of Materials (BOM) creation I/O list creation Wire, cable, and harness selection/design Sensor selection (voltage, current, arc, temperature, etc.) Working knowledge of circuit components such as circuit breakers, contactors, relays, protection relays, push buttons, indicators, connectors, terminal blocks, cable routing accessories, and sensors. Desirable Skills: Familiarity with various process sensors: pressure, vacuum, flow, distance, displacement, proximity, limit, rotary and linear position sensors. Knowledge of EMI/EMC principles and panel design. Working knowledge of motor control systems. Responsibilities: Conduct professional electrical engineering research, design, development, modification, and testing related to electrical systems and power distribution/generation. Collaborate with a multidisciplinary engineering team (electrical, mechanical, software, technical support, productivity engineers, suppliers) on design and modifications. Maintain and develop process checkpoints to ensure compliance with design standards and project schedules. Drive process improvements in collaboration with leadership peers. Create electrical schematics and systems based on requirements; generate and release engineering drawings and BOMs. Assist in developing and refining functional specifications for electrical systems and power distribution. Qualification : Bachelor of Engineering (BE) in Electrical Engineering (Mandatory)

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Systems Development Engineer Google Cloud Location: Bengaluru, Karnataka, India Company: Google Minimum Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field; or equivalent practical experience. 2+ years of experience with systems automation. 2+ years of experience in technical infrastructure (e.g., deployment, maintenance, troubleshooting). Preferred Qualifications 3+ years of experience in systems design and implementation. About the Role As a Systems Development Engineer (SDE) at Google Cloud, you will be part of a team responsible for managing and scaling critical services and infrastructure. This role emphasizes automation, reliability, and observability, using engineering practices to eliminate manual toil and improve system efficiency. Google SDEs design and build the tools and systems that power the infrastructure for Google s services, transforming telemetry into actionable insights and proactively solving operational challenges. You ll have the opportunity to work on impactful, large-scale projects in an environment that fosters learning, collaboration, and growth. Key Responsibilities Participate in on-call rotations and incident response, managing services within your domain. Troubleshoot infrastructure and system issues, evaluate diagnostic data, and recommend solutions. Resolve tickets and bugs within defined service-level objectives (SLOs). Collaborate with primary responders to maintain high availability and reliability of systems. Contribute to the design and implementation of systems and services in related domains. Work directly with customers to gather requirements, define distributed system needs, and propose solutions. Develop automation tools and systems to improve efficiency and reduce operational overhead. About Google Cloud Google Cloud helps organizations transform their business with advanced technologies and enterprise-grade solutions. With a focus on sustainability, innovation, and scalability, Google Cloud serves customers in over 200 countries and territories, providing the tools and infrastructure necessary to solve the world s most complex business challenges. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

Principal Systems Development Engineer Thermal Controls Location: Bengaluru, India Team: Systems Development Engineering Company: Dell Technologies Role Overview As a Principal Systems Development Engineer specializing in Thermal Controls, you ll lead the design and validation of advanced cooling algorithms for Dell s server products, especially those geared towards AI, HPC, and enterprise applications. Your role bridges hardware, firmware, and software to deliver efficient, reliable thermal management systems and uncover innovation opportunities. Key Responsibilities Design, document, implement, and validate thermal control algorithms in collaboration with Dell s global systems management software and thermal teams. Debug and validate thermal control features on live server hardware. Set up and operate servers with varying configurations to test thermal control functionality. Diagnose and route field issues, contributing to resolution strategies. Develop or enhance automation tools to support thermal design and validation workflows. Essential Requirements 5+ years of industry experience in: Mechatronics Thermal controls Electronics cooling Hardware/firmware debugging Strong programming skills in Python, C, or similar languages. Familiarity with server systems: BIOS, CPLD, BMC, device drivers. Proficiency in Linux OS and strong understanding of general OS principles. Excellent debugging, problem-solving, and communication skills. Desirable Qualifications Bachelor s or Master s degree in: Computer Engineering Mechanical Engineering with a focus on controls or mechatronics Experience designing and implementing electronic cooling solutions (hardware to firmware). Proficiency with CAD tools (especially CREO) for mechanical and thermal design. You ll work on thermal control systems that enable the latest in AI and high-performance computing, shaping the future of Dell s data center and server technologies. Dell s engineering culture offers hands-on collaboration, career development, and the opportunity to lead innovations at the intersection of hardware, firmware, and software.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Position: Senior Data Scientist Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: The Senior Data Scientist will play a key role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems. The role involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, efficient machine learning solutions that drive innovation and improve business outcomes. Key Responsibilities: Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable. Data Pipeline and Infrastructure: Design and maintain robust data pipelines to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle. Deployment and Monitoring: Deploy machine learning models into production. Monitor model performance and implement improvements as needed. Collaboration and Communication: Work with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Research and Innovation: Stay up to date with the latest advancements in machine learning and AI. Experiment with new techniques and technologies to enhance the organization's capabilities. Essential Skills: Machine Learning Frameworks: Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Languages: Strong skills in Python and R. Data Processing: Experience with tools like Pandas, NumPy, and Spark. Model Deployment: Experience with Docker, Kubernetes, MLflow, and FastAPI. Databases: Strong experience in databases like Snowflake, MongoDB, and Cosmo DB. Statistical Analysis: Strong foundation in statistics and probability. Model Management: Experience establishing model management, monitoring, support, and maintenance frameworks. ML Lifecycle: Experience setting up ML lifecycle processes and governance policies, as well as providing L0, L1, and L2 support. Desired Skills: Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Cloud Computing: Experience with cloud platforms like AWS, Azure, or Google Cloud. Big Data Technologies: Knowledge of big data technologies such as Hive, Pig, or Cassandra. Software Engineering: Proficiency in software development and version control systems like Git. Qualifications: Education: Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models. Certifications: Relevant certifications in machine learning or data science are a plus. Key Qualities: Analytical Thinking: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Adaptability: Flexibility to adapt to changing business needs and technologies. Innovation: A proactive approach to exploring new ideas and technologies. Apply now to join our dynamic team and lead innovation through machine learning and AI! Qualification : Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Job Description: Senior Automation Engineer Description: We seek a highly skilled and experienced Senior Automation Engineer to join our dynamic team. In this role, you will be at the forefront of the design and development of automated systems and processes. As a Senior Automation Engineer, you will collaborate with cross-functional teams to deliver the design packages and ensure the highest quality and performance standards. The position may include complete or partial responsibility for the following assignments: Lead in understanding the scope of the project & carrying out the following activities as per the project requirement: Engineering/project budget estimates and schedules. Lead in the execution of engineering activities: Substation/Industrial automation design, preparation of network architectures, IO/Signal list preparation, schematic drawings, wiring diagrams, panel layouts, fiber-based networks, control building arrangements, interior and exterior raceways, auxiliary AC/DC power systems. Prepare BOMs/BOQs for different equipment specifications. Coordination of design activities with other departments within the organization whenever required. Provide leadership, training and mentoring to the team. Perform quality reviews for all the deliverables. Develop configurations and settings for Network switches, Data concentrators, RTUs, SCADA systems, PLCs, etc. Qualifications: Bachelor of Engineering in Electrical/Electronics/Telecommunications/Instrumentation. 8-12 years of work experience in the Design/Configuration/Testing of Substation automation systems or PLC-based projects. Expert knowledge of standard engineering techniques and procedures. Strong knowledge of different communication protocols like Modbus, DNP3, IEC-61850, etc. along with IEEE Standards. Knowledge & experience of working on Industrial Automation Projects is a plus. Knowledge and experience with software tools such as SEL AcSELerator RTAC, Quickset, SEL Architect & Diagram Builder is an added advantage. Excellent written and verbal communication skills. Experience with HMIs such as Aveva or Zenon System Platform is a plus. Experience with US utility clients is a plus. Experience with leading the team and delegating work tasks to team members. Strong attention to detail, facilitation, team building, collaboration, organization and problem-solving skills. Qualification : Bachelor of Engineering in Electrical/Electronics/Telecommunications/Instrumentation.

Software Engineer at Google (Android Focus) Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and with Android application development. Experience in Android, Kotlin, Java, Mobile App Development, API Design. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience in code and system health, diagnosis and resolution, and software test engineering. Experience in backend e-commerce, internationalization, and localization. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Job Title: Staff Engineer Embedded Software & Methodologies Job Overview: The Architecture and Technology Group (ATG) at Arm plays a critical role in shaping the future of Arm s architecture roadmap. ATG develops industry-leading secure CPU and system architectures, along with technologies that empower our global ecosystem to build innovative products. As part of this, ATG also creates Architecture Compliance Kits (ACK) a crucial product that ensures CPU implementations adhere to Arm architecture standards. These kits are utilized by both internal and external CPU design teams to validate compliance. The ATG team in Bangalore focuses on developing these ACK products. The Methodology Team, specifically, builds embedded software, methodologies, and tools for the latest Arm cores and system IPs. As a Staff Engineer, you will provide technical leadership and guide junior engineers while actively contributing to product development. You will leverage your software engineering expertise to build scalable, high-quality compliance kits used across Arm s internal teams and external partners. Key Responsibilities: Act as a technical expert, driving the design and development of embedded software, boot flows, and methodologies for architectural compliance. Analyze architecture specifications and define software methodologies that meet industry standards. Provide technical direction to the team while mentoring and guiding junior engineers. Collaborate with cross-functional teams to ensure successful and timely delivery of engineering commitments. Continuously enhance development efficiency through improved methodologies, automation, and process enhancements. Communicate delivery status, technical risks, and mitigation plans effectively to stakeholders. Required Skills & Experience: Bachelor s or Master s degree (or equivalent) in Computer Engineering, Computer Science, or Electronics Engineering. 10+ years of experience in embedded software development, boot flows, firmware development, driver development, or low-level operating system driver development for processors. Strong understanding of software engineering principles, along with excellent analytical, problem-solving, and debugging skills. Strong communication skills both verbal and written with the ability to convey technical information effectively across teams. Self-driven, proactive, and able to take ownership of tasks and responsibilities. Preferred Skills: Familiarity with computer architecture fundamentals, especially Arm or x86 architecture. Proficiency in at least one programming language (C or C++) and one scripting language (Perl or Python). Experience with assembly-level programming. Working knowledge of software verification methodologies, embedded software environments, and toolchains (with preference for GNU toolchains). Join a team that thrives on technical excellence and innovation. Whether it s defining cutting-edge architectures, developing advanced cores, or creating custom physical IPs, Arm offers you a platform to push boundaries and make a lasting impact. Qualification : Bachelors or Masters degree (or equivalent) in Computer Engineering, Computer Science, or Electronics Engineering.

Minimum Qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. 3 years of experience with systems automation and tooling using Python, Go, or any other programming language. 3 years of experience in managing technical infrastructure (e.g., deployment, maintenance, troubleshooting). 3 years of experience in Linux Internals, Networking, and Systems administration. Preferred Qualifications: 6 years of experience in implementing, troubleshooting, and supporting computing systems. Experience with DevOps tools such as Terraform, Puppet, Ansible, Jenkins. Experience with cloud provider ecosystems of cloud service providers. Experience in supporting large-scale complex cloud-based infrastructure. Experience in one of the High Performance Computing (HPC) Schedulers such as LSF, Symphony, NC, or SLURM. Excellent investigative, problem-solving, and communication skills. About the Job: Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don t just write code to fix bugs but emphasize the development of tools and solutions that fix classes of problems. We know it s hard to control what you can t measure so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments, and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences, and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects while striving to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access, and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. In this role, you will be responsible for building and operating the underlying foundation infrastructure used for designing custom silicon. This includes compute platforms, CI/CD, Cloud, groups and Access Control Lists (ACLs), source control, dashboards, resource economy, and bench labs used by silicon engineers in their daily work. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities: Ensure the timely delivery of silicon designs using Google Cloud Platform (GCP) within a fluid environment. Monitor and uphold high standards for internal services on Google Cloud. Provide support, maintain, and deploy team-supported infrastructure and documentation. Collaborate closely with engineering teams to implement and develop on Google Cloud infrastructure. Automate tasks wherever needed. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

Meet the Team As a Technical Lead, you will drive technical excellence across HPC infrastructure, network automation, DevOps practices, and SRE principles while leading architecture decisions and guiding teams in implementing high-performance solutions for AI/ML workloads on various network topologies. This role combines deep technical expertise with leadership responsibilities, focusing on system architecture, automation, reliability engineering, and development excellence. Your Impact Design and implement end-to-end automation solutions for HPC infrastructure (Compute, network, and storage) using Kubernetes operators, Terraform, and Ansible. Analyze compute, storage, and network traffic patterns during distributed training/inference operations across different AI/ML frameworks. Monitor and optimize network utilization patterns for various model architectures. Identify bottlenecks in network communication patterns. Perform root cause analysis across network, compute, and storage layers, with experience handling various failure scenarios and recovery procedures. Make architectural decisions and drive innovation. Develop infrastructure patterns for different workload types. Provide benchmarking and performance engineering leadership. Mentor junior engineers through architecture reviews and code critiques. Design and implement comprehensive telemetry collection systems for monitoring high-speed network microburst behavior. Develop sophisticated visualization tools and analytics frameworks to enable real-time identification of performance bottlenecks and system constraints, facilitating rapid optimization and troubleshooting. Minimum Qualifications Demonstrated expertise in distributed systems and infrastructure design (compute, storage, and networking). Experience with network automation tools and configuration management (Ansible, Python, Golang, YAML, YANG). Strong background in CI/CD, GitOps, or similar practices and tools. Expert-level experience with observability platforms and practices. Strong background in implementing distributed tracing, metrics collection, and log aggregation systems. Demonstrated experience in at least one completed performance benchmarking project for distributed systems, storage, network, and compute. Preferred Qualifications Bachelor s degree in Computer Science, Software Engineering, or a related technical field with 15-20 years of extensive hands-on experience in distributed systems development and DevOps practices. An advanced degree is a plus. Contributions to open-source projects related to distributed systems or performance engineering. Experience in analyzing and documenting system performance metrics across network, compute, and storage layers. Prior experience mentoring and developing technical talent. Understanding of AI/ML infrastructure and any prior experience with RDMA, RoCE v2 will be an added advantage. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Qualification : Bachelors degree in Computer Science, Software Engineering, or a related technical field with 15-20 years of extensive hands-on experience in distributed systems development and DevOps practices. An advanced degree is a plus.

Job Title: System Software Development Engineer Functional Safety Job Description: The Intel Client Computing Group (CCG) Edge Software division is seeking experienced professionals in system software development for embedded product applications. This role offers an exciting opportunity to be part of a high-impact team responsible for enabling Functional Safety (FuSa) Software/Firmware solutions for Intel Edge platforms. Key Responsibilities: Develop Functional Safety (FuSa) firmware and software solutions as part of the system software development team. Take ownership of specific software/firmware modules, ensuring their compliance with FuSa standards such as IEC 61508 and DO-178C. Conduct unit testing, static and dynamic analysis, and maintain traceability of requirements. Create software collaterals and documentation that meet FuSa standards. Perform integration activities for milestone releases, Best Known Configuration (BKC) updates, and user guide preparation for customer enablement. Qualifications & Requirements: Education: Bachelor's or Master's degree in Computer Science, Electronics, or a related field. Experience: Minimum 5+ years of experience in embedded system software development. Programming Skills: Proficiency in C/C++. Scripting Expertise: Experience with scripting languages such as Python and Perl for test case development. Operating Systems: Strong knowledge of Linux System Software and Real-Time Operating Systems (RTOS). Debugging & Toolchains: Hands-on experience with embedded software debugging tools and code versioning toolchains. Software Development & Integration: In-depth understanding of software development methodologies, integration processes, and source code management systems (e.g., GitHub). Collaboration & Communication: Excellent written and verbal communication skills, with a strong ability to document technical processes effectively. Soft Skills: Strong analytical, organizational, and problem-solving skills, with a proactive, resourceful, and self-motivated approach to work. About the Client Computing Group (CCG): The Client Computing Group (CCG) at Intel drives business strategy and product development for Intel's PC platforms, covering a range of form factors including notebooks, desktops, 2-in-1s, and all-in-one devices. Working closely with industry partners, CCG aims to deliver cutting-edge computing experiences that empower individuals to focus, create, and connect in meaningful ways. As Intel s largest business unit, CCG fuels innovation and advances Intel s mission to enrich lives through technology. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status under local law. Intel offers one of the best total compensation packages in the industry, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Professional development opportunities and career growth support. Qualification : Bachelor's or Master's degree in Computer Science, Electronics, or a related field.

Job Title: CPU/Core Design Engineer (Intern) Job Description: Join Intel s Core and Client Development Group (C2DG) and contribute to the development of leading-edge CPU and Core technologies. In this role, you will be involved in CPU/Core design activities across various domains, supporting Intel s ongoing and next-generation Core CPUs. Key Responsibilities: Contribute to CPU/Core logic design for Intel s high-performance processors. Support pre-silicon verification, system validation, and firmware development. Assist in physical design, layout, and DFT (Design for Testability) engineering. Work with cross-functional teams to ensure high-quality and efficient CPU designs. Utilize industry-standard tools and methodologies for design and validation processes. Qualifications & Requirements: Educational Qualifications: Currently pursuing a Postgraduate Degree (M.Tech or equivalent) from a reputed institute in: Microelectronics & VLSI Digital System Design Computer Architecture Preferred Skills: Logic Design and digital circuit design fundamentals. Pre-Silicon Verification using simulation and validation techniques. Physical Design & Layout methodologies for semiconductor products. DFT (Design for Testability) Engineering. System Validation for ensuring reliability and performance. Firmware development related to CPU architecture and microarchitecture. About the Core and Client Development Group (C2DG): The Core and Client Development Group (C2DG) is a global organization responsible for the development and integration of SoCs, Core processors, and critical IPs that power Intel s flagship products. C2DG drives the client roadmap for Intel s Client Computing Group (CCG), delivers server-first cores for Data Center Group (DCG), and invests in future disruptive technologies. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, ensuring fair consideration for all applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under local law. Intel offers a highly competitive total compensation package, including: Competitive pay, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for professional development and career growth. Qualification : Currently pursuing a Postgraduate Degree (M.Tech or equivalent) from a reputed institute in:

Job Description Intel is seeking an experienced Systems Engineer to drive the design, development, and integration of hardware, firmware, and software solutions for Xeon-based platforms. The role focuses on system architecture, performance optimization, and technical risk assessment while ensuring scalability, reliability, and security in system implementations. The ideal candidate will work on customer-centric solutions, influencing next-generation system design and conducting proof-of-concept experiments to validate new features and technologies. Key Responsibilities: System Architecture & Design: Define, develop, and optimize end-to-end solutions integrating software, firmware, board, and silicon/SoC components. Customer-Centric Solutions: Translate business opportunities into use cases, develop product specifications, and implement solutions based on customer needs and system limitations. Performance & Reliability Optimization: Conduct design analysis, assess technical risks, and optimize for security, scalability, and maintainability. Hardware Validation & Debug: Perform schematic reviews, layout verification, mechanical/thermal analysis, and electrical validation (including Signal Integrity (SI) analysis). System Integration: Ensure smooth hardware-software integration, identifying and resolving hardware issues at the component and system levels. Lab-Based Proof-of-Concept Testing: Conduct real-life environment simulations, prototype testing, and performance benchmarking. Documentation & Knowledge Sharing: Develop technical documents, customer presentations, and training materials to enhance internal and external knowledge sharing. Industry Research & Collaboration: Engage in academic and industry research, driving innovation beyond existing solutions. Qualifications & Experience: Educational Requirements: B.E/B.Tech in Electronics & Communication, Computer Science, or a related field. Minimum of 10 years of relevant industry experience. Technical Expertise: Experience in Xeon platform hardware design and validation. Strong knowledge of schematics, PCB layout, mechanical, and thermal analysis. Experience with electrical validation, signal integrity (SI), and power integrity (PI) analysis (desirable). Expertise in hardware issue validation, debugging, and system integration. Strong problem-solving and analytical skills for complex, multi-layered system architectures. Excellent technical documentation and presentation skills. About Intel Validation Engineering (iVE) Group: The Intel Validation Engineering (iVE) Group plays a pivotal role in Intel s technology leadership, validating, debugging, and optimizing Intel s cutting-edge designs. iVE ensures that Intel's next-generation products meet the highest quality standards, enabling Intel to deliver world-class technology platforms. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates, regardless of gender, nationality, disability, or other protected status. Intel offers a top-tier compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Health, retirement, and vacation benefits. Access to cutting-edge technology and career growth opportunities. Qualification : B.E/B.Tech in Electronics & Communication, Computer Science, or a related field.

Job Title: Power Optimization & Performance Engineer Windows Platforms Job Description: Intel is seeking a Power Optimization & Performance Engineer to drive power efficiency and responsiveness enhancements across Windows platforms. The role involves deep analysis of software workloads, power-performance tuning, and debugging complex system-level issues to optimize Intel s laptop and desktop platforms. The engineer will work closely with platform architects and cross-functional teams to define power-performance metrics, develop battery life improvement strategies, and drive forward-looking technology readiness initiatives. Key Responsibilities: Power & Performance Analysis: Perform in-depth analysis of software flows at the trace, thread, and process ID levels to identify power optimization opportunities and performance bottlenecks. Platform Power Optimization: Leverage state-of-the-art analysis tools to identify and resolve battery life and performance issues in domains such as Graphics, Multimedia, Display, Imaging, and CPU. Technical Leadership & Troubleshooting: Diagnose complex system-level power and performance issues, demonstrating strong debugging expertise in Windows-based Intel platforms. Cross-Team Collaboration: Work with platform architects and engineers to define power-performance metrics, optimize power delivery across SoC components, and influence next-generation platform architectures. Windows OS & Driver Optimization: Identify and drive power savings features or performance tuning opportunities into current and next-gen Intel platforms. Collaborate with OS and driver teams for power-aware enhancements. Future Technology Readiness: Analyze expected vs. actual platform behavior, propose forward-looking enhancements, and influence SoC and Windows OS architectures. Qualifications & Experience: Educational Requirements: B.Tech/M.Tech in Electronics or Computer Engineering or related fields. Technical Expertise: Embedded Systems & Software Development: Experience in software/firmware development, integration, or validation. Platform Power Management: Understanding of CPU/SoC architecture, power delivery, sensors, memory, storage, display, multimedia, and imaging subsystems. OS & System Debugging: Strong grasp of Windows OS fundamentals, system-level debugging, and exposure to firmware & device drivers. Windows Debug Tools: Experience with Windows Driver Debugging and Windows Debug tools (preferred). Power & Performance Optimization: Hands-on experience with power-performance measurement, analysis, and benchmarking. Analytical & Problem-Solving Skills: Ability to troubleshoot complex system issues and propose efficient power-saving techniques. Excellent Communication & Collaboration: Strong ability to interact across teams and drive technical discussions. About Intel s Client Computing Group (CCG): The Client Computing Group (CCG) drives Intel s PC business strategy and product development, spanning notebooks, desktops, 2-in-1s, and all-in-ones. As Intel s largest business unit, CCG is dedicated to enhancing PC experiences, fostering innovation, and delivering market-leading computing solutions. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates, regardless of gender, nationality, disability, or other protected status. Intel offers a highly competitive compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive health, retirement, and vacation benefits. Access to cutting-edge technology and career growth opportunities. Qualification : B.Tech/M.Tech in Electronics or Computer Engineering or related fields.

About Databricks At Databricks, we are passionate about enabling data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating the development of medical breakthroughs. We build and run the world s best data and AI infrastructure platform, empowering our customers to use deep data insights to transform their businesses. Databricks Mosaic AI offers a data-centric approach to building enterprise-quality Machine Learning (ML) and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, trained and augmented with their enterprise data. We re only getting started in Bengaluru, India, where we are currently setting up 10 new engineering teams from scratch! The Opportunity Senior Software Engineer As a Senior Software Engineer at Databricks India, you ll have the opportunity to work on a variety of challenging projects across multiple domains: Backend Engineering Distributed Data Systems (DDS) Full-Stack Development The Impact You ll Have 1. Backend Engineering Join our Backend teams and tackle challenges that range from product to infrastructure: Solve complex problems in distributed systems, large-scale service architecture, monitoring, workflow orchestration, and developer experience. Build reliable, high-performance services and client libraries for managing massive amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Work on scalable services (e.g., Scala, Kubernetes) and data pipelines (e.g., Apache Spark, Databricks) that support our pricing infrastructure, processing millions of cluster-hours per day. 2. Distributed Data Systems (DDS) Work across a range of exciting DDS projects: Apache Spark Data Plane Storage Delta Lake Delta Pipelines Performance Engineering 3. Full-Stack Engineering As a Full-Stack Software Engineer, collaborate closely with your team and product managers to create intuitive user experiences that delight our customers. What We Look For BS or higher in Computer Science or a related field. 7+ years of production-level experience in one or more of the following languages: Python, Java, Scala, C++, or similar. Proven experience developing large-scale distributed systems from scratch. Experience working on a SaaS platform or with Service-Oriented Architectures (SOA). About Databricks Databricks is the data and AI company trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices around the globe. Qualification : BS (or higher) in Computer Science, or a related field.

We are looking for a Senior System Software Engineer! As a member of our NVLink development team, you will drive feature enablement post silicon and firmware/verification infrastructure for our next-generation GPUs that enable high-performance interconnect of multi-GPU systems. Familiarity with high-performance systems and networking protocols and architectures is a bonus. What you'll be doing: Drive bringup, feature enablement and debug on GPU systems post silicon. Collaborate with architecture, hardware and software teams on feature design, development and enabling. Triage and resolve firmware issues during customer quals/in the field. Log bugs, track coverage metrics, and perform gap analysis. Work on developing automation tools and infrastructure to improve our firmware development, regressions, and verification process What we need to see: BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS or related field 5+ years of minimum experience in a software development role Excellent debugging and analytical skills Software Verification, DFx knowledge is a bonus Experience with Python/Perl/C/C++ Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, DMA, etc.). Excellent interpersonal skills and ability to collaborate with on-site and remote teams Ways to stand out from the crowd: You're passionate about low-level software development/ debugging / verification Experience with HW/SW interactions Experience with RTOS/RISCV programming/debugging Ability to work independently with minimum supervision Schedule-oriented with excellent execution abilities NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our NVLink design team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. #LI-Hybrid Qualification : BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS or related field