We are now looking for a Senior Performance Verification Engineer!
As a member of our CPU Performance verification Team, you will be responsible for performance correlation, analyzing workloads and benchmarks for performance bottlenecks, developing microbenchmarks and creating the necessary verification infrastructure for performance analysis. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
What you’ll be doing:
Technical leadership role to define/plan/implement/execute performance verification strategy of sophisticated CPU designs
Ability to delve into lowest level details of CPU unit design specification, implementation and it's performance impact
Interactions with architect and design engineers to define detailed scope of micro architectural features
Draft detailed performance testplans and define/Create scalable micros to validate features
Analysis and correlation of CPU benchmarks/workloads
Build infra/tooling needed for efficient performance correlation debug
Ability to lead and provide detailed technical guidance to junior engineers
Agility to work on multiple tasks/projects
What we need to see:
BS or MS in EE/ECE or equivalent experience. PhD is a plus
3+ years of experience in CPU performance modeling, performance correlation, performance analysis, or relevant experiences
Strong understanding in CPU micro architecture and designs
Experience with workload analysis and characterization
Strong coding skills in scripting languages like Perl, Python, or C++
Good communication skills and ability & desire to work as a team player are a must
Ways to stand out from the crowd:
Experience leading performance validation of major blocks of CPU pipeline
Background with ARM A64, X86 Architectures
You will also be eligible for equity and benefits.
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 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.Skills Required
- BS or MS in EE/ECE or equivalent experience; PhD is a plus
- 3+ years of experience in CPU performance modeling or analysis
- Strong understanding in CPU micro architecture and designs
- Experience with workload analysis and characterization
- Strong coding skills in scripting languages like Perl, Python, or C++
- Good communication skills and teamwork
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
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