GPU Functional Models Jobs in Bengaluru

Quality Leader Location: Bangalore Experience: 8 12 Years Education: B.E / B.Tech / M.E / M.Tech in Electronics, Computer Science, or a related discipline Job Summary We are looking for an experienced Quality Leader to drive software and process quality across embedded systems projects, with a focus on ASPICE, CMMI, and Functional Safety standards. The ideal candidate will have deep expertise in quality systems, metrics-driven process evaluation, and project lifecycle management. This role is instrumental in ensuring that project deliverables meet the highest standards of quality, safety, and compliance especially within the automotive domain. Key Responsibilities Process Monitoring & Compliance Ensure adherence to defined processes (ASPICE 3.1/4.0, CMMI, ISO standards) across multiple projects. Identify and report non-compliance issues and drive corrective/preventive actions (CAPA). Conduct process audits and facilitate project quality gate reviews. Data Collection & Metrics Analysis Collect project and process data to derive key quality metrics (e.g., defect density, review efficiency, process compliance scores). Perform root cause analysis (RCA) for quality issues and implement improvement actions. Tool and System Oversight Manage configuration management systems and defect/issue tracking tools. Work closely with development and testing teams to ensure tool usage aligns with defined processes. Process Definition & Improvement Define, maintain, and continuously improve the organization s Quality Management System (QMS). Contribute to functional safety and cybersecurity process definition (e.g., ISO 26262, ISO 21434). Promote a culture of quality and continuous improvement through training, mentoring, and awareness programs. Required Skills & Experience 8 12 years of experience in quality assurance or process management in embedded software projects. In-depth knowledge of ASPICE (3.1/4.0), CMMI, and SDLC models such as V-Model, Agile/Scrum. Experience with software quality metrics, root cause analysis, and CAPA processes. Familiarity with defect tracking and configuration management tools (e.g., Jira, IBM Rational, Git, SVN). Understanding of software quality factors, process audits, and measurement techniques. Exposure to Functional Safety (ISO 26262) and QMS process definition. Working knowledge of at least one programming language (C, C++, Python, etc.) to understand software deliverables from a quality perspective. Preferred / Added Advantage Experience in the automotive domain, including compliance with industry-specific safety and cybersecurity standards. Involvement in certification or appraisal processes (e.g., ASPICE assessments, CMMI appraisals). Knowledge of ISO 21434 (Automotive Cybersecurity). Lead quality transformation initiatives across cutting-edge embedded projects. Collaborate with top-tier automotive and industrial clients. Play a strategic role in shaping process excellence and organizational quality culture. Competitive compensation and a platform for professional growth. Qualification : B.E / B.Tech / M.E / M.Tech in Electronics, Computer Science, or a related discipline

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Position: Senior Software Quality Engineering Functional Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in Connected Operations , helping industries such as logistics, field services, construction, and manufacturing digitally transform their physical operations. Samsara s solutions use IoT data to improve safety, efficiency, and sustainability across global infrastructure that powers more than 40% of global GDP. Role Overview Samsara is hiring a Senior Software Quality Engineer Functional to join its Quality Engineering team in Bengaluru. In this hands-on and collaborative role, you will be responsible for functional and automation testing across Samsara s Salesforce platform, with a primary focus on CPQ and Sales Cloud modules. You ll work closely with cross-functional teams to ensure robust test coverage and help build a high-quality, reliable GTM systems ecosystem. This is a hybrid position, requiring 3 days in office and 2 days remote each week. Key Responsibilities Quality Strategy & Execution Develop and maintain comprehensive test plans, test cases, and test scripts for Salesforce CPQ and Sales Cloud applications. Execute functional, regression, integration, and performance tests across critical GTM workflows. Automate repetitive testing scenarios using tools like Selenium, JUnit, or similar. Collaboration & Defect Management Work cross-functionally with Product, Engineering, and Operations to ensure features meet quality and performance standards. Identify, log, track, and validate bug fixes using tools such as JIRA and TestRail. Participate actively in Agile ceremonies and collaborate closely with globally distributed teams. Continuous Improvement Analyze requirements and propose test coverage enhancements early in the SDLC. Mentor junior QA engineers, sharing best practices and championing quality culture. Contribute to performance testing and CI/CD improvements using tools like Jenkins or Bitrise. Minimum Qualifications Bachelor s degree in Computer Science, IT, or related discipline. 7+ years of overall QA experience with 2+ years focused on Salesforce CPQ and Sales Cloud. Solid understanding of Salesforce architecture, metadata, and data models. Proficiency in manual and automated testing, defect tracking, and test management tools. Strong attention to detail and ability to thrive in a fast-paced environment. Preferred Qualifications Salesforce certifications such as CPQ Specialist, Advanced Administrator, or Sales Cloud Consultant. Experience with performance testing tools and Agile development practices. Familiarity with CI/CD pipelines and DevOps processes. Excellent communication and collaboration skills with a mentorship mindset. Qualification : Bachelors degree in Computer Science, IT, or related discipline

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

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

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Staff/Senior Staff AI Developer Advocate Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary We are looking for Developer Advocates to enable developers building with generative AI and AI-driven hardware applications. You will engage with the community and create resources to onboard developers on our platforms. Qualcomm products touch multiple industries, including mobile, laptops, mixed-reality, robotics, and industrial IoT. You will work closely with product, engineering, and regional sales teams to drive awareness and engagement for our platforms. You are a builder who loves writing code and integrating AI models into applications. Whether it's language-based use cases, computer vision, or audio, you can effortlessly integrate open-source models (large or small) and distilled models into applications. You are also a community builder, engaging, ideating, and helping others realize their development goals. Your contributions and insights from the community will directly impact product improvements, drive feature prioritization, and help create a repository of community-contributed sample applications, tutorials, and content. You will engage with community builders and influencers to build ecosystems that encourage constant collaboration. Responsibilities Engage with external developers in at least one of the following application areas: IoT, Automotive, Microsoft device ecosystem. Collaborate across software, hardware engineering, developer marketing, and product management teams. Understand trends in ML model design and workflow through academic research and developer engagements. Ensure comprehensive sample applications for AI on Linux/Windows using Snapdragon to cover a variety of models and use cases. Interface with 3rd party developers and internal teams to create easy-to-use sample applications and documentation for Windows on Snapdragon. Contribute new features and designs to the Qualcomm AI toolkit to enhance the developer workflow. Minimum Qualifications Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. 6+ years of software engineering, systems engineering, or related work experience. Preferred Qualifications Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU programming, and parallel computing. Experience with large language models/foundational models is a plus. Good understanding of the complete AI software stack and AI performance tuning techniques on GPU, NPU-based systems. Experience in developing end-to-end AI applications on Windows using Windows ML, DirectML. Experience with training and deploying models on servers and porting them to client Windows compute platforms, including inference deployment and performance tuning. Proficiency in programming languages such as Python and C++. Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Strong leadership abilities to guide development teams. Attention to detail with strong problem-solving, analytical, and debugging skills. Ability to adapt quickly and learn in a fast-changing environment. Familiarity with software development methodologies, version control systems, and agile project management practices. 12+ years of application development experience, with 5+ years in AI application development on Windows. Bachelor's degree in Computer Science or Electrical Engineering. Qualification : Bachelor's or advanced degree in computer science, artificial intelligence, or a related field.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

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

Job Title: Principal SDET 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: About the Role As a Principal SDET at Locus, you will play a critical role in driving the quality and reliability of our platform. This role goes beyond traditional testing; you will design, develop, and enhance automated test frameworks, ensure seamless integration of quality engineering practices, and mentor team members to establish a quality-first culture. Key Responsibilities: Automation Framework Design and Development: Architect, develop, and maintain robust test automation frameworks for backend, APIs, and frontend components. Ensure the frameworks are scalable, reusable, and aligned with the latest industry standards. Test Strategy and Planning: Collaborate with product managers, developers, and DevOps to define comprehensive test strategies for new features and system enhancements. Own the end-to-end testing lifecycle, from requirement analysis to test case creation, execution, and reporting. Drive better QA practices (In areas Like: defect creation, Capturing scope of feature, Sign offs , matrix of coverage in functional and automation etc) Quality Advocacy and Best Practices: Drive the adoption of best practices in testing, coding standards, and CI/CD processes across teams. Act as a champion of quality by fostering a quality-first mindset and instilling a culture of rigorous testing. Test Execution and Debugging: Conduct functional, performance, and security testing, ensuring the product meets the highest quality standards. Debug complex issues and work closely with developers to identify and resolve root causes. Continuous Improvement: Analyze test results and metrics to identify areas for improvement in testing processes and product quality. Contribute to the development and enhancement of monitoring and alerting systems to proactively address production issues. Mentorship and Collaboration: Mentor and guide junior SDETs and quality engineers, sharing knowledge and expertise to elevate the team s capabilities. Collaborate effectively with cross-functional teams to ensure quality is integrated into every stage of the development process. Develop a good understanding of velocity in teams and across the org and work towards removing roadblocks to improve release velocity Qualifications: 5-8 years of experience in software testing, with at least 3 years focused on test automation. Proficiency in programming languages such as Java, Python, or JavaScript. Hands-on experience with test automation tools and frameworks for Web and API automation like Selenium, Appium, TestNG, JUnit, or similar. Exp of working on any AI enabled testing tools or frameworks is a plus. Expertise in API testing and automation using tools like Postman, RestAssured, or equivalent. Familiarity with performance testing tools such as JMeter or Gatling. DevOps and CI/CD: Experience with CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions. Knowledge of Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) is a plus. Strong debugging skills and the ability to identify root causes of issues quickly. Excellent communication, collaboration, and leadership skills. Experience in testing large-scale, distributed systems. Knowledge of security testing and tools like OWASP ZAP or Burp Suite. Exposure to machine learning models and their testing challenges. 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 Emulation Engineer Company Arm Location Bengaluru, India Job Overview Arm s Central Emulation team is excited to welcome experienced Emulation experts to join the team in Bengaluru. You will collaborate with design and verification engineers across the UK, US, India, and France to support advanced Compute Subsystems and SoC projects. Arm is building a team to develop exceptional silicon demonstrators based on Arm s IP compute sub-system solutions, targeting premium mobile, infrastructure, and automotive markets. Using the latest technology nodes (e.g., 3nm) and new 3D packaging innovations, Arm s goal is to demonstrate industry-leading performance by architecting, designing, implementing, and fabricating cutting-edge silicon test chips. This initiative brings together innovative talent and expertise from across the semiconductor industry to shape the next generation of compute on Arm devices. Responsibilities Collaborate with end users to understand system use cases and guide validation efforts. Ensure tight integration between hardware qualification and final application use models. Work in an exciting emulation environment using hybrid and virtual solutions, integrating industry-standard high/low-speed IO IPs into subsystems and SoCs. Engage from early architecture and design phases to pre-silicon validation and post-silicon validation on emulation platforms. Drive pre-silicon emulation across all SoC teams. Ensure design quality and debuggability by collaborating closely with the design team. Support architecture, verification, system validation, performance, power, and DFT teams with insights from performance and power characterization. Develop comprehensive pre and post-silicon test plans in collaboration with verification teams. Develop tests, create bare-metal drivers for industry-standard IO IPs, and build frameworks to enable scalable testing across multiple ASIC projects. Required Skills and Experience Bachelor s degree (BE/BTech) in Electronics Engineering. 8+ years of experience in Pre-Silicon Validation and Emulation/FPGA-based platforms. Experience developing C/C++/SystemC tests for HDL-HVL co-emulation platforms. Proficiency in IO bus protocols such as I2C, SPI, USB, and/or PCIe. Experience with SoC debugging tools such as JTAG and Trace32. Nice-to-Have Skills and Experience Knowledge of ASIC design and prototyping flows. Experience with SystemC/C/C++ and UVM/SystemVerilog (SV) verification languages. Familiarity with domains such as PCIe, Flash, Memory, CPU, GPU, and DRAM. Hands-on experience with emulation toolchains such as Zebu, Veloce, or Palladium. What Arm Offers Arm is committed to global talent acquisition, offering an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, meritocratic, and open workplace where everyone can thrive, Arm encourages its people to make exceptional contributions to its global success. #LI-KR2 Qualification : Bachelors degree (BE/BTech) in Electronics Engineering.

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

Job Description This role involves collaborating with business stakeholders to gather requirements, developing applications using the Mendix low-code platform, and ensuring the applications are robust, scalable, and maintainable. Roles and Responsibilities Application Development Develop and maintain applications using the Mendix low-code platform. Translate business requirements into functional and scalable applications. Implement user interfaces, data models, business logic, and workflows within the Mendix environment. Requirements Gathering Collaborate with business analysts and stakeholders to understand business needs and requirements. Participate in requirement-gathering sessions and provide technical insights. Design and Architecture Design application architectures and data models that are scalable and maintainable. Create detailed technical designs based on business requirements. Testing and Debugging Write and execute test cases to ensure the quality and performance of applications. Debug and resolve technical issues and defects in a timely manner. Integration Integrate Mendix applications with external systems, APIs, and databases. Ensure data consistency and reliability across integrated systems. Documentation Create and maintain technical documentation, including design documents, user guides, and release notes. Document application features, functionalities, and processes for future reference and maintenance. Collaboration and Communication Work closely with developers, UX designers, and stakeholders to deliver high-quality applications. Participate in code reviews and provide constructive feedback to peers. Communicate effectively with team members and stakeholders to ensure alignment and understanding. Continuous Improvement Stay updated with the latest Mendix features, best practices, and industry trends. Continuously seek opportunities to improve development processes and enhance application performance. Support and Maintenance Provide ongoing support and maintenance for existing Mendix applications. Troubleshoot and resolve production issues promptly. Implement enhancements and new features as requested by stakeholders. Required Skills and Qualifications 5+ years of proven experience in developing applications using the Mendix platform. Familiarity with low-code development principles and practices. Proficiency in Mendix Studio and Mendix Studio Pro. Strong knowledge of databases, web services, and API integration. Experience with front-end technologies such as HTML, CSS, and JavaScript. Understanding of software development lifecycle (SDLC) and agile methodologies. What We Offer You First-hand experience with C-Suite-focused business advisory in the data and analytics space. Deep industry connections with data science experts, client teams, and domain champions. The opportunity to experiment, take risks, and contribute to transformative business changes. The chance to work on meaningful problems you ll be proud of solving. A collaborative, supportive environment with colleagues you ll enjoy working with. Key Metrics for Success Timely and high-quality delivery of applications. Customer satisfaction on engagements. Support for advisory practices, including contributions to advisory and consulting collaterals.

Experience Level: 4+ years (Bachelor s), 3+ years (Master s), or 2+ years (PhD) Preferred Domains: Embedded Systems, Mobile, IoT, Automotive General Summary: We are seeking a highly skilled Systems Engineer with experience in post-silicon validation, system modeling, and power-performance optimization. The ideal candidate will work on cutting-edge embedded systems with a focus on CPU, GPU, and AI workload performance. This role offers an opportunity to collaborate with cross-functional teams to optimize SoC performance and contribute to next-generation product innovations. Preferred Qualifications: Experience in as many of the following areas is desirable: Embedded Systems & Mobile/IoT/Auto Domains: Hands-on experience with complex embedded systems and SOC performance. Post-Silicon Validation: System validation, performance analysis, and feedback to influence future product development. Power & Performance Analysis: Analyzing power-performance data for various CPU, GPU, and AI workloads/benchmarks. System Modeling & Profiling: Expertise in power/performance use cases, SOC profiling, PPA tradeoffs, and product qualification. CPU Microarchitecture: Knowledge of cache, latency, bandwidth analysis, and optimization. Linux/Android Kernel Development: Experience with device driver development, Android architecture, and system programming. Power Optimization: Experience with DVFS/DCVS governors and power management at the system level. Hands-On Lab Experience: Familiarity with DAQs, oscilloscopes, JTAG, ARM Developer Studio, and power data acquisition. Automation & Scripting: Proficiency in Python, shell scripting, ADB shell, and automation environments for Linux/Android systems. Collaboration & Leadership: Ability to work with internal teams and external partners for analysis and optimization. Acts as a tech lead and provides guidance to engineering teams. Tools & Version Control: Exposure to Git, Jira, Android, and QTI tools. Key Responsibilities: Perform post-silicon validation of SoC performance and architecture. Analyze and optimize power-performance trade-offs in collaboration with architecture teams. Develop and enhance tools to assist in performance analysis and workload characterization. Drive power and performance optimization for CPUs, GPUs, and AI workloads. Provide technical leadership and guide teams on system-level optimization and validation. Collaborate with internal and external teams to achieve performance goals. Minimum Qualifications: Bachelor s degree in Engineering, Information Systems, Computer Science, or a related field and 4+ years of relevant experience. Master s degree in Engineering, Information Systems, Computer Science, or a related field and 3+ years of relevant experience. PhD in Engineering, Information Systems, Computer Science, or a related field and 2+ years of relevant experience. Skills: Strong understanding of computer architecture and OS fundamentals. Excellent communication and presentation skills. Ability to manage tasks independently and work in a fast-paced environment.

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. 5 years of experience with cloud infrastructure. 5 years of experience in a technical role focused on AI infrastructure or related areas Experience building and operationalizing machine learning models. Experience with GPU programming (e.g., CUDA, OpenCL) and optimization techniques. Preferred qualifications: Experience with high-performance computing (HPC) environments and contributions to open-source projects related to AI or infrastructure. Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators. Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, Tensorboard). Experience designing/architecting large-scale infrastructure farms for specialist AI use cases. Experience with running MLPerf benchmarks, distributed training and optimizing performance versus costs. Excellent communication, presentation, and teamwork skills. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Customer Engineer for AI Infrastructure, you will be the technical expert and trusted advisor for our customers, helping them design, deploy, and optimize AI solutions using cutting-edge hardware and software. Your focus will be on GPUs, accelerators (including FPGAs and ASICs), and Google TPUs. You will work closely with Sales, Product Management, and Engineering to ensure our customers achieve maximum value from their AI investments. You will be responsible for scaling and helping accelerate GCP AI Infrastructure business growth. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking. Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Travel to customer sites and events as needed. Be responsible for business growth and workload acceleration on AI infrastructure products and solutions for GCP. Qualification : Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.

General Summary: Join the Qualcomm AI Systems Solution CoE (Center of Excellence) team to develop cutting-edge products and solutions leveraging Qualcomm s high-performance inference accelerators for cloud, edge, and hybrid AI applications. This role focuses on designing and delivering AI/ML system software solutions for diverse industries, including automotive, cloud, and industrial IoT. You will work on optimizing ML models (including GenAI, LLMs, LVMs, and LMMs) for deployment across a variety of devices, including phones, AI PCs, and edge appliances. This is your opportunity to contribute to Qualcomm s energy-efficient AI compute systems and collaborate with cross-functional teams to develop solutions that exceed industry standards. Key Responsibilities: Develop system solutions for AI/ML requirements, including model optimization, inference graph tuning, and scalable deployment across various devices. Work with deep learning frameworks like PyTorch, TensorFlow, and ONNX. Optimize AI/ML models using techniques such as quantization, pruning, and compression. Define and evaluate performance and accuracy metrics for neural network models, including CV, NLP, and multi-modal architectures. Collaborate across functional teams to ensure scalable, efficient deployments on inference accelerators and edge devices. Monitor and analyze industry trends and competitor toolchains to innovate and enhance system solutions. Develop and debug high-quality software in Python and C++, leveraging object-oriented design principles. Lead projects to improve toolchains and develop innovative product features. Required Skills and Experience: Hands-on experience with deep learning frameworks: PyTorch, TensorFlow, and ONNX. Strong understanding of model architectures (CV, NLP, LLMs, and multi-modal networks). Proficiency in Python and C++ (skill level: 7/10 or higher). Expertise in data structures and algorithms (skill level: 7/10 or higher). Experience in inference graph optimization, quantization-aware training, and deployment of AI/ML models. Knowledge of AI edge and server systems, infrastructure, and industry standards. Familiarity with ONNX Runtime, PyTorch runtime, and TensorFlow runtime. Experience in competitor toolchain surveys and emerging trends in AI/ML. Excellent debugging, analytical, and development skills. Desirable Skills: Experience with GPUs, machine learning accelerators, and related software. Familiarity with ML compilers like TVM, GLOW, and XLA. Hands-on use of version control tools like Git and GitHub. Knowledge of LLM fine-tuning and advanced training techniques. Qualifications: Bachelor s, Master s, or PhD degree in Engineering, AI/ML, Computer Science, or a related field. Work Experience: Bachelor s degree with 3+ years of relevant experience. Master s degree with 2+ years of relevant experience. PhD with 1+ year of relevant experience. Qualification : Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.

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.