NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
We are now looking to hire strong performance verification engineers with a sharp understanding of CPU and memory architecture. NVIDIA makes some of the fastest CPUs in the world and is solving problems, with its vast arsenal of CPUs, GPUs and SW, in areas such as High-performance computing, Automated driving, Medical imaging and much more! We are seeking highly motivated engineers to join this dynamic and innovative team that owns performance alignment of CPUs and CPU fabrics made by NVIDIA! Do you want to be part of the team that explores and defines the next generation of CPUs?
What will you be doing:
Responsibilities will include development of test plans and strategies, develop simulation environments, system bring-up, validation, and automation to deliver best-in-class CPUs.
Develop and maintain CPU simulator infrastructure, hardware CPU test and performance infrastructure.
Analyze and validate CPU and fabric performance, helping to understand current, and guide the development of future CPU products.
Definition and development of tool chain and workflows that enables the full system performance alignment.
Silicon based competitive analysis of NVIDIA CPUs.
What we need to see:
Master's or Bachelor's degree in EE/CS or equivalent experience
5+ years of experience preferably in the areas of CPU / SOC Performance Verification and Analysis
Strong understanding of computer system architecture and operating system fundamentals.
Hands-on experience with HDLs such as Verilog / System Verilog.
Knowledge of verification methodologies and tools for IP and SoC level verification.
Experience with System Verilog, C/C++, Python languages and relevant frameworks.
Background with debug on Silicon.
Ways to stand out from the crowd:
Detailed knowledge of the ARM and/or x-86 architecture.
Prior experience with performance analysis of CPUs.
Experience with analysis and characterization of CPU workloads.
NVIDIA is 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.”
