Level

NVIDIAPosted 1d ago

L1

Senior Engineer, Performance

Senior Engineer, Performance at NVIDIA scores 30 out of 100 on AI centrality, which makes it a Level 1 role on this board.

US, CA, Santa ClaraseniorFull time$136k-$213k

AI in this role

Conduct performance analysis and benchmarking for NVIDIA GPUs across AI, LLM, and professional visualization applications.

python
performance-analysisbenchmarkinghardware-testingpython-scripting

As a Performance Engineer at NVIDIA, you will be part of a team that’s advancing the limits of what technology can achieve. This is an outstanding opportunity to work at the forefront of AI, accelerated computing, and modern graphics technologies. You will play a crucial role in crafting the future of our products and influencing key business decisions. If you’re passionate about performance analysis and eager to contribute to world-class innovations, this is the perfect role for you!


What you’ll be doing:

  • Work directly with Marketing, Architecture, and Engineering across Enterprise business units to provide competitive and internal data analysis. Your insights will set industry performance expectations, support new product initiatives, and influence business decisions.
  • Bring-up, maintain, and debug pre-production, reference, and consumer hardware to help build the next great NVIDIA product.
  • Run performance, image quality, and power tests of Professional Visualization, AI, and LLM benchmark applications on various GPUs
  • Develop and maintain Python-based automation scripts and tools to streamline benchmarking procedures and balance configuration files.
  • Design new tools and create efficient processes to improve benchmarking analysis and reporting workflows
  • Analyze and validate results from test runs and craft reports that will be used by various groups within the company.

What we need to see:

  • Bachelor’s degree or equivalent experience in a technical or business marketing field along with 5+ years of experience.
  • Knowledge of Enterprise Workstation/AI/LLM application benchmarking fundamentals, performance analysis, and competitive data comparisons.
  • Deep understanding in the field 3D application performance testing methods and techniques.
  • Excellent programming and debugging skills in a scripting language; Python preferred.
  • Expert knowledge of hardware & PC components to identify and root-cause performance bottlenecks.
  • Strong verbal and written interpersonal skills.
  • Demonstrated ability to balance multiple simultaneous projects successfully.

Ways to stand out from the crowd:

  • Strong skills or previous experience in benchmarking and competitive analysis.
  • Experience with LLM development and deployment.
  • Knowledge of NVIDIA hardware and NVIDIA software products.
  • Strong collaboration and interpersonal skills.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 27, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Performance AnalysisBenchmarkingHardware TestingPython ScriptingPython

Questions you could be asked

  1. Tell me about a project where performance analysis was part of your work. What did you do?
  2. Tell me about a project where benchmarking was part of your work. What did you do?
  3. Tell me about a project where hardware testing was part of your work. What did you do?
  4. Tell me about a project where python scripting was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Performance Analysis, Benchmarking, Hardware Testing, Python Scripting, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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