Role at a glance
- Salary
- $136K – $264.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 3+ years of experience in CPU performance modeling, performance correlation, performance analysis, or relevant experiences
- Education
- BS or MS in EE/ECE or equivalent experience. PhD is a plus
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Role Summary
The Senior Performance Verification Engineer will join the CPU Performance Verification Team, focusing on performance correlation, workload and benchmark analysis, microbenchmark development, and verification infrastructure. The role supports CPU design performance validation across product lines including consumer graphics, self-driving cars, and artificial intelligence.
What You'll Do
- Define, plan, implement, and execute performance verification strategy for sophisticated CPU designs
- Analyze workloads and benchmarks for performance bottlenecks and correlate CPU benchmarks and workloads
- Develop microbenchmarks and create scalable micros to validate features
- Build infrastructure and tooling for efficient performance correlation debug
- Interact with architect and design engineers to define the detailed scope of microarchitectural features
- Lead and provide detailed technical guidance to junior engineers
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS or MS in EE/ECE or equivalent experience; 3+ years of experience in CPU performance modeling, performance correlation, performance analysis, or relevant experiences; strong understanding of CPU micro architecture and designs; experience with workload analysis and characterization; strong coding skills in Perl, Python, or C++; good communication skills and ability and desire to work as a team player.
Required
- BS or MS in EE/ECE or equivalent experience
- 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
Preferred
- PhD
- Experience leading performance validation of major blocks of CPU pipeline
- Background with ARM A64
- Background with X86 Architectures
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.