NVIDIA is seeking a System Validation Engineer to drive the execution of post-silicon validation efforts for GPUs and SoCs. This role is essential in ensuring that NVIDIA's chips meet the highest standards of performance, quality, and reliability. In this role, you will collaborate with multi-functional teams to validate silicon designs and ensure successful productization of pioneering consumer, professional, server, mobile, and automotive solutions.
What You’ll Be Doing:
Lead the execution of system-level qualification of GPUs and SoCs.
Execute test cases involving stress testing, functional and PVT testing across Windows and Linux environments.
Plan, coordinate, and manage work according to project schedules, ensuring timely delivery.
Collect data from multiple systems, identify and classify failures, conduct first-level debugging, and prepare test reports and bug filings.
Automate validation workflows, improve reporting processes, and develop custom scripts/tools for improved efficiency.
Fix and conduct root cause analysis for hardware and software issues, driving them to resolution.
Collaborate with global teams, leading meetings for issue resolution, and driving problem-solving initiatives.
Work closely with hardware, firmware, and software teams to validate new features and ensure system stability.
Contribute to the development of new validation methodologies to improve test efficiency and coverage.
Improve validation efficiency through identifying bottlenecks, optimizing workflows, and implementing standard processes for process improvements.
Manage multiple validation activities, prioritize tasks effectively, and ensure alignment with project timelines.
What We Need to See:
B.Tech/M.Tech in Electronics and Communication (or related field) or equivalent experience.
3+ years of experience in x86 and/or SoC testing.
Strong understanding of both Linux and Windows OS environments; experience setting up Windows debuggers and working closely with development teams to triage issues.
Hands-on experience with PCIe Gen4/Gen5, USB, DDR, and familiarity with silicon testing environments.
Strong understanding of PC system components, buses, interconnects, and PCB components.
Proficiency in scripting and automation using Python, Bash, or PowerShell to develop validation tools and automate test execution.
Excellent problem-solving and debugging skills, with the ability to balance multiple complex projects simultaneously.
Experience with power and performance validation, including thermal management and power characterization.
Familiarity with validation frameworks and automation tools used in system validation.
Knowledge of NVIDIA products, GPU architectures, and parallel computing technologies is an added advantage.
Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state-of-the-art computing platforms for the world to use. Because of our work, scientists, researchers, and engineers can advance their ideas. At its core, our visual computing technology not only enables an amazing computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology, though! Our people, some of the brightest in the world, and our company's diverse culture make NVIDIA one of the most fun, innovative, and dynamic places to work in the world! At the center of NVIDIA's culture are our core values, like innovation, excellence, determination, and teamwork, that guide us to be the best we can be.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD.You will also be eligible for equity and benefits.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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