Full Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a legacy of innovation fueled by great technology and extraordinary people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing—where our GPUs power intelligent systems across robots, self-driving cars, and devices that understand the world. We are seeking a dedicated and highly skilled Senior SWQA Test Developer to join our Embedded QA team. In this role, you will help ensure the quality of advanced computing systems that drive next-generation embedded products across industries such as AI, Retail, Healthcare, Media, Finance, and Robotics. You will design, develop, and execute tests across the embedded software and hardware stack, leveraging AI tools to automate end-to-end QA workflows. Strong hands-on experience with embedded platforms, automation frameworks, and coverage analysis is highly desirable. This role involves close collaboration with 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-powered tools to enable and implement CI/CD pipelines, optimize test execution, and drive scalable automation across workflows. Adding new automation to improve code coverage and overall product quality; identifying gaps and contributing to near-100% automation goals. Developing test strategies and implementing tests on embedded/GPU-based platforms (Jetson/embedded Linux) to ensure performance, stability, and reliability. Crafting detailed, well-structured test plans, test cases, and validation workflows derived from high-level customer and product requirements. Employing various approaches to train, re-train, and fine-tune models for accuracy, performance, and efficiency optimization in agents/workflows. Identifying, documenting, triaging, and managing the lifecycle of regression bugs (internal and external). Participating in feature requirement reviews and influencing technical build documents with data-driven QA insights. Coordinating with project management, hardware, and software teams to provide in-depth technical analysis of top issues; periodically publishing statistical QA health and coverage reports. Developing applications, test tools, utilities, and automating workflows using NVIDIA’s internal test frameworks. What we need to see: B.Tech./M.Tech. in CS/CE/IT/ECE/EEE or equivalent degree/experience. 5+ years of hands-on testing experience across the embedded software stack (bootloader, kernel, drivers, middleware, and applications). Strong programming skills in Python and/or C/C++; ability to write clean, logical code and scripts from scratch. Solid understanding of code coverage tools, test gap analysis, and quality metrics. Excellent knowledge of modern technologies such as Docker, AWS/cloud platforms, and front-end interfaces (HTML, REST, web automation). Strong exposure to Linux, shell scripting, and debugging complex system behaviors. Proven ability to collaborate across cross-functional teams and passion for new technologies, frameworks, and trends. Hands-on experience testing on embedded hardware platforms (preferably ARM/Linux or GPU-accelerated systems). Ways to stand out from the crowd: A degree or certification in Machine Learning / Artificial Intelligence. Experience with deployment technologies like Kubernetes or container orchestration. Understanding of workflow/agent-based test automation, model validation, and quality assurance systems powered by machine learning. Experience improving test execution efficiency (e.g., stability tuning, pipeline optimization, automation run-rate growth). With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable technological employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. 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.