NVIDIA is seeking a highly motivated and experienced System Test Architect to define, develop, and drive comprehensive validation strategies for next-generation hardware platforms. As a key member of our hardware architecture and systems engineering team, you will be responsible for ensuring the robustness, performance, and scalability of NVIDIA’s cutting-edge products across AI, graphics, data center, and automotive domains. You will collaborate with cross-functional teams—including silicon design, board design, firmware, and software engineering—to create innovative test methodologies that validate complex system-level interactions. Your insights and expertise will directly impact product quality, development efficiency, and time-to-market.
What you will be doing:
Architect end-to-end system validation strategies for new hardware platforms.
Define test coverage and validation methodologies.
Collaborate with hardware, software, Qual and QA teams to align on product requirements and test coverage plans.
Lead development of automation frameworks and diagnostics tools to enable scalable and repeatable testing.
Analyze test data to identify root causes, guide debug efforts, and improve validation coverage.
Provide technical leadership and mentorship across multidisciplinary teams and represent system test considerations in architecture and design reviews.
What we need to see:
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
8+ years of experience in hardware/system test engineering, preferably in the semiconductor, computing, or high-performance systems industries.
Deep understanding of system architecture, including CPUs, GPUs, memory subsystems, I/O, and power delivery.
Proven experience developing and executing validation plans for complex hardware systems.
Strong debugging skills and experience with hardware test equipment (oscilloscopes, logic analyzers, etc.).
Familiarity with firmware, BIOS, and low-level software stack interactions.
Proficient in scripting and automation (Python, Perl, Bash, etc.).
Ways to stand out from the crowd:
Excellent communication, collaboration, and leadership skills.
Experience working in cross-functional environments and managing validation efforts across global teams.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and 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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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
