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Quality Assurance Software Developer Engineer in Test, GeForce GPUNVIDIA • Santa Clara, California, United States
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Quality Assurance Software Developer Engineer in Test, GeForce GPU

NVIDIA
  • US
    Santa Clara, California, United States
  • US
    Santa Clara, California, United States
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À propos

Are you passionate about inspiring change, building data driven tools to improve software quality, and ensuring customers have the best experience? If so, NVIDIA is seeking a creative, hands‑on software engineer with a test‑to‑failure approach who is a quick learner, can understand software and hardware specifications, build reliable tests and tools (C++/C#/Python) to improve quality and accelerate delivery of GeForce NVIDIA products. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of both Windows and Linux operating systems. What you’ll be doing Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems. Develop automated end‑to‑end tests for NVIDIA device driver and SDKs on a Windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements. Develop applications and tools that bring data‑driven insights to development and test workflows. Build tools/utility/framework in Python, C, or C++ which would help automate and optimize the testing workflows in the GPU domain. Write maintainable, reliable, and well‑detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness. Optimally estimate and prioritize tasks to create a realistic delivery schedule and work on challenging technical and process issues. Generate and test compatibility across a range of products and interfaces. Work closely with leadership to report progress by generating effective and impactful reports. What we need to see B.E./B.Tech degree in Computer Science/IT/Electronics Engineering with strong academics or equivalent experience. 5+ years of programming experience in Python/C/C++ with experience in applying Object‑Oriented Programming concepts. Hands‑on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP, etc. Good experience with using AI development tools for test plan creation, test case development, and test case automation. Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage. Experience working with databases and storage technologies like SQL and Elasticsearch. Good understanding of OS fundamentals, PC hardware, and troubleshooting. Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb. Working knowledge of GPU devices and technologies like DLSS, Frame Generation, Reflex, CUDA, G‑Sync, etc. The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage. Ways to stand out from the crowd Prior project experience with building ML and DL based applications would be a plus. Good understanding of testing fundamentals. Good problem‑solving skills (solid logic to apply in isolation and regression of issues found). Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000USD – 224,250USD for Level3, and 168,000USD – 270,250USD for Level4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May26,2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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  • Santa Clara, California, United States

Compétences linguistiques

  • English
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