Data Path Design Jobs in Bengaluru
1440 Jobs Found
Mts - Software Development (cloud Ai Network Security Developer)
Aviatrix Systems
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.
Staff Engineer - Software Development
Aviatrix Systems
Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.
Manager FMRTS CT
Shadowfax Technologies
Position: Manager FMRTS CT Location: Bengaluru Experience Required: 5 10 years Department: Operations About the Role: We are seeking a highly analytical and results-driven Manager FMRTS CT to lead key operational excellence initiatives across sort centers in the West region. This role focuses on improving throughput, optimizing workflows, and ensuring process adherence across the end-to-end supply chain. The ideal candidate should possess strong cross-functional leadership, data-driven decision-making, and project management skills. Key Responsibilities: Increase core Throughput Per Hour (TPH) in sort centers through layout standardization and implementation of Zone-Based Palletization (ZBP). Develop and apply mathematical models to optimize load balancing across belts, reducing defects and improving productivity. Own and drive compliance programs such as signage standardization, WIKI documentation, Guard Shack (GS) protocols, and Grace Time Truck Departure (GTTD). Analyze and improve sort center quality metrics; conduct deep dives for underperforming sites and collaborate with cross-functional teams (Operations, Linehaul, Analytics, Safety & Loss Prevention) to meet performance targets. Build and maintain a sortation path planning tool to ensure Long-Term Planning (LTP) is adhered to at the site level. Conduct Time & Motion studies to identify and eliminate non-value-adding activities, improving overall package throughput time. Partner with teams across Category Sourcing, Logistics, Warehousing, Last Mile, Finance, Tech, Warranty, and After-Sales (AFS) to ensure seamless process execution from procurement through to delivery. Address daily operational challenges and strategic issues by working closely with leadership teams across business functions. Lead and manage cross-functional project teams, set milestones, and ensure timely execution of Supply Chain Excellence initiatives. Establish data-driven process controls, tooling requirements, and audit mechanisms to ensure consistent process adherence. Drive adoption of new tools and operational playbooks, ensuring governance, compliance, and best practice implementation. Assess business and technical risks, manage escalations, and maintain a balance between operational needs and technical constraints. Investigate complex sourcing and supply chain challenges, design scalable solutions, and collaborate with engineering and stakeholder teams for implementation. Leverage analytics and technology to lead cross-functional coordination, resolve operational bottlenecks, and drive continuous improvement. What You Bring: 5 10 years of experience in operations, supply chain, or logistics, preferably within e-commerce or high-volume distribution environments. Proven experience in process optimization, data modeling, and performance analysis. Strong knowledge of warehouse/sort center operations and tooling systems. Demonstrated ability to manage cross-functional teams and deliver complex projects end-to-end. Excellent problem-solving, communication, and stakeholder management skills. Proficiency in data analysis tools and methodologies is a strong plus.
Instructional Designer
Cognite
Instructional Designer Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Industry Innovation and Solutions Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader in AI-driven industrial digital transformation, working with major sectors like Oil & Gas, Pharma, Chemicals, and Manufacturing. We create innovative platforms like Cognite Data Fusion and Cognite Atlas AI to empower smarter operations. Role Overview Join the Cognite Academy team, which provides training and educational content for customers and partners. You will design and develop engaging courses, learning paths, and training materials primarily for technical users (data engineers, software developers, data scientists) and Cognite application users. Your work will enhance onboarding, self-service learning, and certification programs. Key Responsibilities Redesign and develop entire courses, micro-learning modules, and curricula using various instructional design models (e.g., ADDIE). Collaborate with subject matter experts to analyze training needs and target audiences. Create engaging multimedia content: videos, simulations, role-plays, and interactive assessments using tools like Active Presenter, Genially, Vyond. Implement courses and manage content in LMS platforms (Skilljar preferred). Design formative assessments and certification exams. Support the learning community and contribute to customer and partner engagement. Use HTML and basic coding to build learning paths and interactive content. Your Profile 2 to 5 years instructional design experience in the SaaS industry. Strong knowledge of learning theories and instructional design methods (ADDIE a plus). Proficient with authoring tools such as Active Presenter, Genially, Vyond, and at least one LMS (Skilljar a plus). Basic HTML and visual design/storyboarding skills (Adobe Creative Suite, Miro, etc.). Experience with video editing and social media content management. Basic project management and agile work methodology skills. Excellent written and verbal communication skills, able to connect with both technical and non-technical audiences. Eager to learn new technologies and improve programming skills (Python, HTML, Adobe Premiere Pro). Passionate about making a real impact on user learning and adoption. Work with a diverse global team of 70+ nationalities focused on inclusion and innovation. Modern, engaging Bengaluru office with a hybrid work model. Flat organizational structure with direct access to leaders. Opportunity to collaborate on cutting-edge projects in a fast-growing tech company. Strong community and partner ecosystem to learn from and contribute to. Excited to shape the future of learning in industrial AI? Apply to join Cognite s Academy team today!
Engineering Manager - Active Directory
Rubrik
Engineering Manager Active Directory Location: Bangalore, India About the Team The Active Directory team is part of Rubrik s Enterprise Data Protection (EDP) organization. They develop data protection solutions specifically for Active Directory, including backup, restore, and integration of AD as an Identity Provider within Rubrik s security platform. About the Role Rubrik is seeking an experienced Engineering Manager to lead the Active Directory development team. This role focuses on guiding the design and delivery of AD data protection solutions, scaling the team, and driving innovation. The ideal candidate combines strong software development expertise especially with Active Directory and identity technologies with proven leadership skills. What You ll Do Team Leadership: Mentor and lead developers and engineers, foster innovation, collaboration, and technical excellence. Development Lifecycle: Manage sprint planning, code reviews, and adherence to standards; prioritize workload and resource allocation. Software Development: Oversee design, development, and testing of Active Directory data protection solutions and integrations with Rubrik s security platform. Customer & Growth Management: Engage with customers to support adoption and scale the team accordingly. Strategic Planning: Collaborate on roadmap definition with product managers and architects aligned to business goals. Operational Excellence: Provide technical leadership on escalations, maintain system health, and minimize regressions. Documentation & Collaboration: Develop thorough documentation and work closely with engineering, security, infrastructure teams, and stakeholders. Communication: Effectively communicate project status, risks, and technical details to diverse audiences, including senior leadership. Experience & Qualifications Education & Experience: Bachelor s or Master s degree in Computer Science, Software Engineering, IT, or related field. 8-10 years in software development and IT, with at least 2-3 years in technical leadership or engineering management roles. Technical Expertise: Strong skills in distributed systems and data storage. Solid knowledge of Windows Server OS and Active Directory (AD/Entra-ID) concepts. Experience with Microsoft Windows ecosystem preferred. Understanding of Identity and Access Management (IAM) concepts; familiarity with IAM services like Okta or AWS IAM is a plus. Knowledge of identity security (users, groups, roles, NHI) is advantageous. Leadership & Management: Proven ability to lead, mentor, and develop software engineering teams. Strong grasp of software development methodologies and project management. Experience collaborating with customers, sales, and support teams. Excellent organizational, communication, interpersonal, and presentation skills. Rubrik is on a mission to secure the world s data with Zero Trust Data Security . We empower organizations to defend against cyber threats and ensure data resilience through innovative cloud and SaaS security technologies. Qualification : Bachelors or Masters degree in Computer Science, Software Engineering, IT, or related field.
Technical Staff, Software Engineering
Dell Technologies
Technical Staff, Software Engineering CTO Storage Team Location: Bengaluru, India Team: CTO Storage Company: Dell Technologies Role Overview You will architect and lead the development of advanced storage architectures focusing on data path technologies across Dell s storage portfolio. This senior technical role involves innovation in AI-driven infrastructure, storage protocols, and system integration, collaborating closely with product teams, management, and external partners to deliver cutting-edge solutions. Key Responsibilities Present innovative storage technology ideas to executive leadership. Architect detailed product designs including functionality, performance, integration, and hardware needs. Lead prototyping, testing, and validation efforts focusing on scalability and performance. Collaborate cross-functionally to build POCs and MVPs ensuring seamless integration of technologies. Mentor and uplift junior engineers and peers, encouraging innovative thinking and solutions. Essential Requirements Experience: 15+ years with Bachelor s degree, OR 12+ years with Master s degree, OR 8+ years with PhD, OR equivalent experience Expertise in AI-driven operations, telemetry, data integration, and storage connectivity/protocols. Deep knowledge of: Filesystem data paths, object protocols, Linux kernel ecosystem. Storage & networking drivers and standards. Unstructured & structured data ecosystems and connectors. Drive technologies and hardware ecosystem (CPU, PCIe, networking, DPU, offload engines). Strong programming skills in Embedded C and Python on Linux OS. Active contributions to open-source or tech communities, plus demonstrated leadership in mentoring. Desirable Qualifications Advanced certifications or publications in Storage Software, AI, Deep Learning, or related fields. Proven track record of leading impactful, innovative projects. Ongoing engagement with open-source projects or technical communities. Join a team pushing boundaries in storage and AI infrastructure, shaping the future of data management with innovative technologies. Collaborate with industry experts and enjoy growth opportunities while making a meaningful impact.
Engineering Manager- Data
Meesho
Engineering Manager Data Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we power millions of orders daily with zero downtime thanks to our cutting-edge data and backend systems. Our engineering culture is built on speed, ownership, and a growth mindset. We embrace failures as learning opportunities and foster a 'Founder s Mindset' across all engineering teams. We're passionate technologists, team players, and storytellers just as comfortable building robust data platforms as we are bonding over books, games, or chai. If you're ready to lead a team building high-impact, real-time data systems that touch millions of users, come join us. About the Role We are seeking an experienced Engineering Manager Data to lead our data engineering initiatives. You ll be responsible for building scalable data platforms, managing distributed systems, and ensuring data accuracy, accessibility, and real-time analytics capabilities. This role combines technical depth, strategic thinking, and team leadership to build next-gen data systems powering Meesho s mission. What You Will Do Design and allocate technical tasks based on Meesho s data engineering standards and architecture. Lead and mentor a team of data engineers; conduct regular performance reviews and provide growth feedback. Oversee development of scalable, distributed data systems across streaming and batch pipelines. Collaborate with Product, Design, and Sales teams to create innovative data-driven products and features. Monitor project progress, drive sprint planning, and report on key metrics using OKRs. Promote engineering best practices, data quality standards, and cloud-native development. What You Will Need Bachelor s or Master s in Computer Science or a related field. 8+ years of overall experience, with 4+ years managing software/data engineering teams. Hands-on expertise in Java, Python, or Go and multithreading. Experience with distributed data systems, including Apache Spark, Kafka, and streaming architectures. Deep understanding of relational and NoSQL databases. Proficient in cloud platforms (preferably AWS) and containerized deployments. Experience in data modeling, pipeline architecture, and data quality frameworks. Familiarity with BI tools like Tableau, Metabase, or Superset. Good to have: Knowledge of Trino, Flink, Presto, Druid, Pinot, and real-time analytics platforms. Strong project and stakeholder management; ability to lead cross-functional teams. About Us Meesho is India s fastest-growing e-commerce platform on a mission to democratize internet commerce for every Indian. With 1.75M+ sellers and millions of active customers, we offer zero commission, the lowest shipping costs, and unparalleled reach across every serviceable pincode in India. We're building Meesho to be Meri Shop for the next billion users empowering small businesses and first-time entrepreneurs to sell and thrive online. Our Culture & Total Rewards Our culture is rooted in impact, innovation, and inclusivity. Guided by 11 core principles or "Mantras", we empower our teams to think big, move fast, and grow constantly. Daily rituals like Reflections and Listen or Die ensure everyone has a voice and a growth path. What We Offer: Competitive Compensation including salary, performance bonuses, and equity. Wellness & Insurance via our MeeCare program, with extensive coverage for employees and families, plus mental health and wellness initiatives. Work-Life Balance with flexible work hours, generous leave policies, and parental support. Learning & Development with courses, mentorship, and career mobility through our Internal Mobility Program. Perks & Benefits including salary advances, relocation support, recreational discounts, and employee gifts. Join us to lead the data transformation at Meesho and help shape the future of commerce for India s next billion users. Apply now to make your mark! Qualification : Bachelors or Masters in Computer Science or a related field.
Machine Learning Engineer 5
Adobe
Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.
Senior Machine Learning Engineer
Chevron Corporation
Senior Machine Learning Engineer Location: Bengaluru, India Company: Chevron Experience Required: 5 10 Years Department: AI/ML Engineering Work Mode: Hybrid / Global Operations Support About the Role Chevron is actively seeking a Senior Machine Learning Engineer to join our cutting-edge AI team. You will be responsible for designing, building, and optimizing advanced machine learning systems that power transformative applications in artificial intelligence. In this role, you will develop self-learning applications and refine AI systems using robust engineering, statistics, and software design practices. Key Responsibilities Study and transform data science prototypes into production-ready systems Design scalable and robust machine learning systems Research and implement modern ML algorithms and tools Develop ML applications based on business and technical requirements Select appropriate datasets, data pipelines, and data representation techniques Run experiments and evaluate results to fine-tune models Perform statistical analysis and ML performance optimization Train and retrain models as new data becomes available Extend and customize existing ML libraries and frameworks Stay up to date with the latest ML research and trends Required Qualifications 5 10 years of proven experience as a Machine Learning Engineer or in a similar role Hands-on experience with Azure Machine Learning and MLOps Strong skills in data structures, data modeling, and software architecture Deep knowledge of math, probability, statistics, and algorithm design Proficient in programming languages: Python, R Familiarity with ML frameworks and libraries such as Keras, PyTorch, scikit-learn Excellent analytical and problem-solving skills Strong communication and teamwork abilities Working Hours Chevron supports international teams. Work hours are scheduled to align with global collaboration: Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Opportunity to work on impactful ML/AI solutions at enterprise scale Flexible work culture with global exposure Advanced tools, infrastructure, and data at your fingertips Professional growth in a forward-thinking, innovation-driven environment Equal Opportunity Statement Chevron is an equal opportunity employer and adheres to inclusive hiring practices. All qualified candidates will receive consideration without regard to race, gender, age, religion, nationality, sexual orientation, disability, or any other protected status. Chevron also participates in E-Verify as required by law in applicable jurisdictions. Apply Today
Assistant Manager - F&e (cpdo- Consolidation)
Meesho
Assistant Manager - F&E (CPDO - Consolidation) Location: Bangalore, Karnataka | Fulfilment & Experience About the Team As part of Meesho's Fulfillment and Experience (F&E) team, you'll play a pivotal role in shaping the logistics framework to support the next billion e-commerce users in India. Our team consists of 100+ smart individuals who are analytical, first-principle problem solvers and get excited about creating 10x impact with innovative solutions. We are reimagining logistics to meet customer expectations of affordability and rapid delivery. Meesho has pioneered many 1st time in India and 1st time in world innovations in fulfillment and experience field. You will be expected to continue and compound on this strong legacy. At Meesho, you'll be driving cutting-edge zero-to-one projects that will redefine e-commerce logistics on a global scale. About the Role As an Assistant Manager - F&E you will be working on a consolidation problem statement. Consolidation - Meesho is a marketplace where currently majority orders are fulfilled by sellers instead of warehouses. Due to this, if a user has ordered 2 products from 2 sellers, they receive 2 separate packets. This leads to higher supply chain costs, higher carbon emissions etc. We are on a mission to figure out innovative ways to consolidate these shipments at various legs in the supply chain to save cost pass on this benefit to the user, and reduce carbon emissions. We are looking for smart problem solvers, strong in analytics and innovative thinkers to solve this first-of-its-kind problem at scale. Your role is to analyse data, understand shipment paths, and come up with various innovative solutions to club orders from the same user together. Identifying opportunities: Problem solving to identify various consolidation opportunities. Work with the supply chain team to understand feasibility and prioritize among them. Design supply chain changes to capture these opportunities. Build & Pilot: Work with product, tech, and on-ground operations teams to build and pilot 0-1 stage solutions. Identify success metrics for pilots and iterate to achieve Product Market Fit (PMF). Scale up: Scale up the successful solutions and move to the next opportunity. What you will need B.Tech or MBA from a premium college 1 3 years of experience, preferably in Strategy & Operations or Management Consulting Ability to handle both strategy formulation and implementation Excellent analytical and problem-solving skills Solid project management skills: ability to lead and collaborate with cross-functional teams, prioritize high-impact activities, and manage complex projects Strong growth track record with demonstrated past results Outstanding written and verbal communication skills, along with strong organizational ability Qualification : B.Tech or MBA from a premium college
Lead Consultant Data Engineer
Thoughtworks Technologies (india) Pvt Ltd.
Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.
Technical Support Specialist
Isoftcells
Job Title: Technical Support Specialist Location: Bengaluru Experience: 0-2 Years Job Overview We are looking for a passionate and customer-focused Technical Support Specialist who will provide high-quality support to our customers while ensuring their technical issues are resolved promptly. You will use your technical knowledge to analyze and troubleshoot software problems, collaborate with our Product and Engineering teams, and help improve the overall customer experience. This is a great opportunity for someone eager to develop their technical skills and grow in a fast-paced environment. Key Responsibilities Customer Support: Acknowledge customer concerns, empathize with their issues, and conduct a thorough analysis to offer effective solutions. When needed, ask follow-up questions to refine the diagnosis. Troubleshooting: Leverage your technical knowledge to efficiently troubleshoot software-related issues. Ensure that solutions are accurate and delivered in a timely manner, escalating to senior teams when deeper technical investigation is required. Collaboration: Work closely with Product and Engineering teams to relay customer feedback, and contribute to identifying and implementing new features and functionalities. Technical Communication: Clearly communicate technical details to both technical and non-technical audiences, ensuring all parties understand the issue and the solution. Continuous Learning: Stay up to date with the latest technology trends and new tools, keeping your problem-solving skills sharp. On-Call Support: Participate in an on-call rotation to provide support outside regular working hours as needed. Required Skills & Qualifications Technical Knowledge: Basic understanding of programming and scripting languages such as PHP, Java, Angular, and JavaScript. Operating Systems: Basic knowledge of Windows and Linux OS. Cloud Software: Familiarity with cloud-based software applications, including installation, administration, and troubleshooting. Error Log Analysis: Ability to analyze and interpret error logs for Java programs, Windows OS, and Linux OS. Database Administration: A general understanding of database administration concepts. Cloud Platforms: Exposure to cloud platforms like AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus. Networking: Understanding of network fundamentals and the ability to analyze network traces. API Knowledge: Experience or familiarity with API design and development. Security: Understanding of how data is securely transmitted across the network. Communication & Soft Skills Clear Communication: Excellent verbal and written communication skills with the ability to convey complex technical information clearly to a wide range of users. Active Listening: Strong listening skills to effectively understand customer concerns and resolve issues efficiently. Patience and Empathy: Ability to show patience, empathy, and compassion, ensuring customer satisfaction. Fast-Paced Environment: Work in an energetic environment that promotes innovation and fast decision-making. Growth Opportunities: Enjoy accelerated growth, skill development, and rewards for your contributions. Collaborative Culture: Work with industry leaders and the best minds in the field. Flexible Work Hours: Benefit from a flexible work schedule that suits your lifestyle. If this role resonates with you, don t hesitate to apply! We offer plenty of room for growth and an exciting career at iSoftcells. Let s celebrate work and thrive together!
Security Engineer - II
Locus
Job Title: Security Engineer - II Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: Key Responsibilities: Conduct comprehensive threat modeling for applications, cloud infrastructure, and overall systems architecture. Perform secure code reviews and security assessments for web, Android, and iOS applications, with a strong focus on cloud infrastructure security. Proactively identify and mitigate vulnerabilities across platforms, collaborating with development and DevOps teams to implement secure solutions. Automate and streamline security processes, aligning with the principle that Complexity is the enemy of Security. Oversee Vulnerability Management and Patch Management processes, ensuring timely remediation. Design and implement robust security measures and contribute to Red Team activities, including assessments of cloud, network, wireless, physical, and social engineering scenarios. Take ownership of assigned tasks and drive the continuous improvement of security practices across the organization. Assist in setting up and maintaining monitoring systems to identify and respond to potential incidents in real time. Develop custom tools, scripts, and scanners to address unique security challenges and automate repetitive tasks. Provide architectural guidance for securing cloud-based applications and DevOps pipelines. Continuously stay updated on emerging security technologies and techniques, sharing knowledge with the team. Qualifications: 3-5 yrs experienced Sr security engineer. Expertise in cloud security (AWS, Azure, or GCP) with a strong understanding of securing applications and infrastructure in cloud environments. Proficiency in DevOps and DevSecOps practices, including secure CI/CD pipeline integration and automation. Strong knowledge of OWASP and SANS testing methodologies for identifying and mitigating security vulnerabilities. Good understanding of software security weaknesses, architecture vulnerabilities, and mitigation strategies. Hands-on experience in threat modeling, vulnerability assessments, and penetration testing. Proficiency in any scripting language - Python. Experience in developing or customizing tools, scanners, or extenders for specific security needs. Ability to work independently and collaboratively within a team to solve complex security challenges. Experience in implementing security monitoring systems for early incident detection. Strong problem-solving skills and the ability to think creatively to simulate attack scenarios. Certification in security-related fields (e.g., AWS Certified Security, CISSP, CEH, OSCP). Experience with container security and orchestration platforms like Kubernetes and Docker. Knowledge of Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Familiarity with modern DevOps tools (e.g., Jenkins, GitLab, Ansible). Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.
Senior Cloud Data Engineer
Capgemini Invent
Job Title: Senior Cloud Data Engineer Experience: 10+ Years Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next. Your Role: As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Optimize data storage and retrieval processes to ensure efficiency and accessibility. Ensure data security and compliance with industry standards, including data privacy laws. Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility. Develop and refine data processes for data modeling, mining, and production. Implement quality checks, data validation, and monitoring of data flows. Collaborate with data scientists, analysts, and IT teams to meet data requirements. Work closely with data architects and modelers on project objectives and solutions. Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization. Develop and implement disaster recovery procedures to safeguard data. Ensure seamless integration of HR and other business data into cloud-based environments. Research new opportunities for data acquisition and discover additional uses for existing data. Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI. Recommend and implement improvements to enhance data reliability, efficiency, and quality. Your Profile: 10+ years of experience in cloud data engineering. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies. Strong programming skills in Python, SQL, Java, or Scala. Familiarity with Snowflake, Informatica, or similar tools is an advantage. In-depth knowledge of data privacy laws, security best practices, and data governance. Expertise in analyzing and interpreting complex datasets to derive actionable insights. Strong communication, collaboration, and problem-solving skills. Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems. Passion for learning and keeping up with emerging technologies, particularly in Generative AI. Experience working in an Agile framework and managing multiple projects simultaneously. Ability to adapt to evolving priorities and business needs. What You Will Love About Working Here: Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance. Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills. Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve. About Capgemini: Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.
Software Engineering
Microsoft
Overview With the Microsoft Cloud Security team, we take immense pride in developing a diverse set of security products and services that are leaders in their respective market segments. Our innovative solutions have set new industry standards, earning global recognition safeguarding critical infrastructure at the highest scale. Microsoft Defender for Cloud is a cloud-native application protection platform (CNAPP) designed to protect cloud-based applications running in all major cloud providers. Microsoft Defender for Cloud secures cloud applications from code-to-cloud by unifying development security operations ( DevSecOps ) at the code level, cloud security posture management (CSPM) to surface and prevent breaches and cloud workload protection platform (CWPP) to identify, alert and block real-time cyber-attacks worldwide. We re a diverse group of talented professionals consisting of software engineers, security researchers, program managers and data scientists collaborating to develop products that secure our customers, including the biggest companies in the world. We are looking for a Software Engineer II to join our team. You will work in a supportive and inclusive environment where you will learn and work alongside the best and brightest minds in the industry, and could make a significant impact, grow your skills and advance your career. If you're up to disrupt #CloudSecurity, come join us at the world s leading security company at Microsoft Defender for Cloud group! Qualifications Bachelor s degree in computer science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Proven experience with designing developing and building services, supportability and monitoring Infrastructures Experience with large scale operations, using methodologies such as feedback/Metrics collection techniques to expose live site/service issues Strong analytical and problem solving and organizational skills Excellent written and oral communication skills Ability to deal with the ambiguity associated with working in a fast-paced and changing environment. Additional or Preferred Qualifications: 1 + years of Linux hands on system experiences 1 + years of Software Engineering and experience in testing, deploying and supporting large scale services on Azure/AWS/GCP environments. Mastering CI\CD concepts and hands on implementations experiences, specifically GIT Kubernetes, Prometheus, Cilium /ISTIO or any equivalent Responsibilities You will be part of an infrastructure software engineering team collaboratively designs, builds, and maintains tools that ensure seamless and efficient operations for the organizations which accelerate the developer experience. You will collaborate closely with multiple teams across Microsoft to deliver key customer solutions and the technology to support them. Engage in and improve end-to-end lifecycle of services from inception and design, through deployment, operation, and refinement. Analyze complex system behavior, performance, and application issues. Apply modern software engineering practices to streamline deployments, drive down costs and operational overhead while meeting critical reliability and availability KPIs. Work hand in hand with engineering teams to offer guidance and education on integration, testing, monitoring, and security across different technology stacks. We believe in enabling our team members to unlock their highest potential and invest a lot in building a collaborative and agile culture to achieve our business success. Join us and be part of our path to the next level of awesomeness!! Qualification : Bachelors degree in computer science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Azure Devops Engineer
Gramener
What Gramener Offers You Gramener provides an inviting workplace with talented colleagues from diverse backgrounds, clear career paths, and steady growth prospects. We offer ample opportunities to innovate and be part of an ecosystem focused on building easily configurable data applications for storytelling with data in both public and private sectors. Roles and Responsibilities Design, implement, and manage CI/CD pipelines using Azure Pipelines for automated build, test, and deployment processes. Manage source control with Azure Repos and integrate version control practices into development workflows. Set up project management and tracking with Azure Boards, collaborating across development, QA, and operations teams. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform, ARM templates, and Bicep. Implement and maintain Docker containerization and orchestrate applications with Azure Kubernetes Service (AKS). Monitor application performance and system health using Azure Monitor, Application Insights, and Log Analytics. Implement DevSecOps practices, managing secrets with Azure Key Vault and ensuring security best practices. Optimize Azure cloud resources for performance and cost efficiency, utilizing auto-scaling features for scalability. Collaborate with cross-functional teams to troubleshoot and resolve pipeline and infrastructure issues. Manage cloud storage, databases, and networking using Azure Storage, Azure SQL Database, and Azure Virtual Networks. Skills and Qualifications 5+ years of experience with Azure DevOps tools: Azure Pipelines, Azure Repos, Azure Boards, and Azure Artifacts. Proficiency in Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep. Hands-on experience with Docker and Kubernetes (AKS) for container orchestration. Strong knowledge of monitoring and logging tools: Azure Monitor, Application Insights, and Log Analytics. Familiarity with Azure cloud services: Azure Storage, Azure SQL Database, Azure Virtual Networks, and Azure Key Vault. Scripting skills with PowerShell, Bash, or Python. About Us At Gramener, we help organizations make data-driven decisions by providing strategic data consulting and laying out roadmaps for data transformation. Our services focus on converting data into a strategic differentiator through data visualization, analysis, and custom solutions, enabling clients to derive actionable insights from large datasets.
Senior Salesforce - Sales Developer
Arm Limited
Job Overview: Develop, integrate, enhance and solve Salesforce Sales Cloud and CPQ solutions. Complete technical projects and maintain live services as technical lead of a cross-disciplinary and geographically diverse team. Deep technical expertise, ensuring systems are performant and fit-for-purpose, with a requirement for on-call support as needed. Responsibilities: Core responsibilities include but not limited to: Lead technical design, development and implementation of Salesforce products and services. Modernise and/or improve Salesforce live services through continuous improvement. Design, develop, and maintain solutions within a DevOps environment, including the creation and upkeep of comprehensive documentation. Ensure sustained service performance levels for Salesforce products and services including responding to and resolving incidents. Required Skills and Experience: Strong IT background with consistent track-record in complex Salesforce projects. Hold at least a B.Tech in computer science, information technology, or a related field, at least 6 years of overall experience in similar role within a large, global organisation of which minimum 3 years working with Salesforce Sales Cloud & CPQ. Successful history as technical lead in large-scale projects from inception to completion needed. Ability to work autonomously, commitment to staying abreast of the latest industry developments. Sales Cloud: Lead, opportunity, quote, and product management; Sales Cloud-specific functionalities like Opportunity Teams, Sales Path, and Collaborative Forecasts. Configuration: Salesforce objects, fields, page layouts, record types, and security settings (profiles, permission sets, role hierarchy, sharing rules); Experience in setting up and customising sales processes, stages, and workflows. Automation: Automating sales processes using Flows; build sophisticated automations tailored to sales operations. Custom Development: Proficiency in Apex, Visualforce, Lightning Component Framework and Aura Components; Salesforce DX and version control. Salesforce CPQ: Product-rules, price-rules, discount schedules, quote templates, and approval processes; CPQ bundle configurations, options constraints, and configuration attributes. Complex pricing scenarios tailored to business needs. Nice To Have Skills and Experience: Integration: Integrate external systems using Salesforce APIs (REST, SOAP, Bulk, Metadata); Middleware platforms like MuleSoft. Data Management: Import, export, and migration; quality and governance principles; database concepts and modelling within Salesforce. Reporting and Analytics: reports and dashboards within Salesforce catering to specific needs of CPQ analysis, such as quote accuracy, discount levels, and sales performance. Salesforce Certified Sales Cloud Consultant and/or Certified Administrator; additional certifications like Certified Advanced Administrator or Certified Platform Developer; Certified CPQ Consultant! Experience with Agile practices, including familiarity with Scrum and Kanban frameworks for managing development cycles and delivering incremental improvements! 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. Arm prohibits discrimination or harassment of any kind based on race/ethnicity, religion, national origin, age, sex, sexual orientation, gender, gender identity and expression, disability, neuro-diversity, pregnancy, medical condition, marital status, citizenship status, military/veteran status, as well as those characteristics protected by applicable laws, regulations and ordinances. Arm s hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. #LI-KR2 Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect wher...
Senior Data Science Engineer
Msci
Job Description We are seeking a highly skilled Data Acquisition Platform Engineer to join our dynamic team and help build AI/ML-driven solutions that process and classify unstructured data from diverse sources. This role involves designing and developing Python-based systems for data acquisition, processing, and deployment on GCP cloud. You will work with cutting-edge technologies to create solutions that integrate AI/ML models to parse and make data available for downstream consumption. Your Team Responsibilities Data Acquisition: Work on building a platform that acquires unstructured data from multiple sources such as financial documents, websites, and news. Data Processing: Utilize AI/ML models to map, classify, and process unstructured data for downstream system consumption. Cloud Deployment: Deploy the application on Google Cloud Platform (GCP) through DevOps processes, ensuring seamless and scalable operations. Model Management: Create, fine-tune, and deploy Machine Learning models (LLMs) for data classification, parsing, and processing. Application Maintenance: Manage and monitor the platform through various dashboards, ensuring it meets performance and reliability standards. Your Key Responsibilities Design and develop Python-based applications that leverage AI/ML technologies for unstructured data acquisition and processing. Deploy applications using DevOps methodologies on GCP or Azure cloud environments. Build and maintain Machine Learning models for tasks such as text classification, data parsing, and integration. Create interactive dashboards for monitoring and maintaining system performance. Continuously innovate by implementing and integrating the latest advancements in AI/ML, particularly in Natural Language Processing (NLP) and Transformers. Skills and Experience That Will Help You Excel 1. Python & Machine Learning: Strong experience in Python for building scalable data systems and integrating AI/ML models. Expertise in working with Transformers, NLP, and other advanced Machine Learning models for unstructured data processing. 2. Cloud & DevOps: Experience deploying applications on Google Cloud Platform (GCP) or Azure using DevOps tools and processes. Proficiency in building scalable, cloud-native applications that are easy to maintain and monitor. 3. Data Processing & Integration: Knowledge of data parsing, classification, and processing of unstructured data (e.g., text, documents, etc.). Experience in integrating AI/ML models with data pipelines for downstream consumption. 4. Tools and Technologies: Proficiency in DevOps tools for cloud deployment and automation. Familiarity with CI/CD pipelines and tools like Docker, Kubernetes, and Terraform. What We Offer Compensation & Benefits: Transparent compensation schemes and comprehensive employee benefits tailored to your location, ensuring your financial security, health, and overall well-being. Flexible Working: Flexible work arrangements, advanced technology, and collaborative workspaces. Learning & Development: Access to Learning@MSCI, LinkedIn Learning Pro, and customized learning opportunities for continuous professional growth. Career Growth: Multi-directional career paths, offering internal mobility and professional development opportunities. Inclusive Culture: A workplace that embraces diversity and inclusion, supported by various Employee Resource Groups such as Pride & Allies, Women in Tech, and Climate Action Network. Global Network: Work with a talented network of colleagues across the globe and contribute to innovative solutions for the global investment community. Equal Opportunity MSCI is an equal opportunity employer committed to diversifying its workforce. We ensure equal employment opportunities without discrimination or harassment based on race, religion, gender, disability, or any other characteristic protected by law. MSCI is also committed to providing reasonable accommodations for individuals with disabilities.
Physical Design Engineer
Intel Corporation
Job Description The Client Development Group (CDG) is looking for Physicial Design Engineers with following Responsibilities - Creates bottoms up elements of chip design including but not limited to Device cell and block level layouts, Block level floor plans, abstract view generation, RC extraction and schematic layout verification. Debug using phases of physical design development including parasitic extraction ,clock generation, custom polygon editing, auto place and route algorithms, floor planning, full chip assembly, RV DFM Density and verification. Troubleshoots design issues and applies proactive intervention. May schedule staffing execution and verification of complex chips development and execution of project methodologies and/or flow developments. Qualifications You should possess a BE or BTech or equivalent technical degree in Electronics Electrical engineering with knowledge in Layout Designing. Experience, Skills, Additional qualifications include Proficiency in multiple levels of layout design which includes data path register files and standard cell designs. Proficiency in floor planning activities which include FUBunit level assembly routing and integration of custom blocks into the FC floorplan. Ability to comprehend issues of RC delay electromigration, selfheating and cross capacitance. Ability to recognize failure prone layout structures and proactively contact engineers for guidance and produce electrically robust layout. Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth. Other Locations IN, Hyderabad Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel Qualification : You should possess a BE or BTech or equivalent technical degree in Electronics Electrical engineering with knowledge in Layout Designing.
Gpu Functional Verification Sr Engineer
Qualcomm
General Summary: Qualcomm is a company of inventors that has unlocked 5G, ushering in an era of rapid acceleration in connectivity and new possibilities across industries. But this is just the beginning. Qualcomm thrives on innovation and diversity, with teams made up of inventive minds from different backgrounds and cultures, all working together to transform cutting-edge technologies into world-changing products. As a GPU Functional Verification Engineer at Qualcomm, your responsibilities will involve a deep understanding of 3D Graphics hardware pipelines, feature sets, data paths, and block functionalities. You will play a key role in designing and developing verification strategies, implementing testbenches, and working on the functional verification of Qualcomm s Snapdragon SoC products. Key Responsibilities: Develop deep expertise in the 3D Graphics hardware pipeline, including feature sets, data paths, and block functionalities. Strategize, brainstorm, and propose Design Verification (DV) environments; develop testbenches and own test plans. Debug all RTL artifacts and work to achieve comprehensive signoff matrices. Collaborate with EDA vendors and explore innovative DV methodologies to push the limits of signoff quality. Partner with architecture, design, and systems teams globally to meet and exceed all project goals. Develop and execute UVM-based System Verilog testbenches for functional verification of complex GPU designs. Engage in property-based formal verification (knowledge of formal tools is a plus). Work on subsystem-level testbenches to analyze GPU workloads and ensure compliance. Utilize emulation platforms to analyze performance and identify potential pipeline bottlenecks. Perform power-aware and gate-level simulations to ensure high-quality GPU implementation. Implement Perl/Python scripts for regression management, optimizing runtimes, managing databases, and tracking bugs. Required Skills and Experience: Bachelor s degree in Computer Science, Electrical/Electronics Engineering, VLSI, or a related field, and 2+ years of relevant experience in Hardware Engineering or Design Verification. Master s degree in a related field and 1+ year of relevant work experience, OR PhD in a related field. Minimum 3 years of experience in design verification. Strong proficiency with UVM-based System Verilog testbenches. Experience with GPU pipeline design is a plus but not mandatory. Working knowledge of property-based formal verification tools is a plus. Strong communication skills (both written and verbal) with the ability to work in a collaborative team environment. Ability to learn quickly and deliver results with high quality. Desirable Skills and Aptitudes: Experience in GPU functional verification and knowledge of 3D graphics hardware pipelines. Familiarity with emulation platforms and the ability to analyze and address performance bottlenecks. Expertise in scripting with Perl and Python for automation and optimizing verification processes. Education Requirements: Bachelor s (BE/ME) or Master s (M.Sc.) degree in Electrical/Electronics Engineering, VLSI, Microelectronics, or equivalent courses from reputed universities. Why Qualcomm? Be a part of a passionate GPU HW team dedicated to developing industry-leading Qualcomm Snapdragon SoCs. Play a pivotal role in shaping the future of mobile AR/VR by contributing to GPU solutions that drive benchmarks in the mobile computing industry. Qualification : Bachelors (BE/ME) or Masters (M.Sc.) degree in Electrical/Electronics Engineering, VLSI, Microelectronics, or equivalent courses from reputed universities.
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