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NVIDIA • pune, Maharashtra, India
Role & seniority: SWQA Test Developer, Embedded QA (2+ years hands-on testing; mid-level)
Stack/tools: Embedded/GPU software; Python and/or C/C++; Linux; Docker; cloud (AWS); CI/CD; Nvidia Test framework; basic HTML/web scraping; AI tools for automating QA; knowledge of Kubernetes (nice-to-have)
Design, develop, and execute tests for embedded hardware/software stacks; build and automate CI/CD pipelines; improve code coverage and fix regression bugs
Develop/test on embedded/GPU systems; create detailed test plans and cases from customer requirements
Identify/regress bugs; review feature requirements and technical designs; collaborate with hardware/software teams; publish stakeholder reports
B.Tech/M.Tech or equivalent in CS/CE/IT/ECE/EEE
2+ years in embedded software testing
Proficiency in Python and/or C/C++; strong scripting ability
Linux experience; familiarity with Docker; basic cloud/ AWS; ability to work with complex scripts
Strong collaboration and adaptability
ML/AI certifications or coursework; experience with AI agents/workflows
Kubernetes deployment knowledge
Experience with AI-driven QA automation and AI model tuning for performance/throughput
Location & work type: Location not specified; full-time role
We are seeking a dedicated and highly skilled SWQA Test Developer to join our Embedded QA team. In this role, you will be part of a dynamic group responsible for developing and ensuring the quality of advanced computing systems that power cutting-edge embedded products across industries such as Artificial Intelligence, Retail, Healthcare, Media, Finance, and more. You will design, develop, and execute tests to ensure that our embedded software and hardware stack meets the highest standards of quality. Experience using AI tools to automate end-to-end QA workflows is essential, as this capability is central to our technology-driven initiatives. Familiarity with developing, automating, or leveraging sophisticated AI agents and workflows is also highly desirable. This position will require frequent collaboration with various engineering and release teams across multiple product verticals. Join us at the forefront of the Embedded and AI revolution and help shape the future of intelligent systems. You can read more about it here: https://www.nvidia.com/en-us/ai/ What you'll be doing: Using AI Tools enabling and implementing CI/CD pipelines, adding tests to improve Code Coverage, fixing regression bugs, building/automating workflows/agents. Using different approaches to train, re-train and fine-tune different models towards Agents/Workflows Accuracy, Performance & Throughput optimization. Develop and implement tests on embedded/GPU based systems and components. Build test strategy, detailed, and well-structured test plans and test cases based on high level customer requirement. Identify, record, document, and regress internal and external filed bugs. Participate in reviewing and influencing product feature requirements, specifications, and technical design documents. Liaising with various teams including project management, hardware, and software developers, provide technical analysis of the Top Bugs filed and periodically publish statistical data reports to all stakeholders. Application development, test tools and automation of tests using Nvidia Test framework. What we need to see: B.Tech. or M.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE. 2+ years of hands on testing experience in complete embedded software stack. Excellent programming skills with Python and/or C/C++ and able to write logical scripts/code from scratch. Excellent Knowledge of modern technologies like docker, cloud-based platforms (AWS), frontends (HTML, web scrapping). Must have exposure to Linux and be aware of complex scripts/commands. Must be an excellent teammate, with passion for new technology/trends. Ways to stand out from the crowd: Any degree/certification course on Machine learning (Artificial Intelligence). Solid Knowledge of deployment technologies like Kubernetes. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.