Senior Engineer, Performance

Posted 2 Days Ago
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Santa Clara, CA, USA
In-Office
136K-213K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Conduct performance, image quality, and power testing across NVIDIA GPUs and AI, LLM, and 3D applications. Develop Python automation tools, maintain and debug hardware, analyze competitive and internal benchmark data, identify performance bottlenecks, validate test results, and create reports that guide product initiatives and business decisions.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's degree or equivalent experience in a technical or business marketing field
  • 5+ years of professional experience
  • Knowledge of enterprise workstation, AI, and LLM application benchmarking fundamentals
  • Experience with performance analysis and competitive data comparisons
  • Deep understanding of 3D application performance testing methods and techniques
  • Excellent programming and debugging skills in a scripting language; Python preferred
  • Expert knowledge of hardware and PC components for identifying and resolving performance bottlenecks
  • Strong verbal and written interpersonal skills
  • Ability to balance multiple simultaneous projects
  • Previous experience in benchmarking and competitive analysis
  • Experience with LLM development and deployment
  • Knowledge of NVIDIA hardware and software products
  • Strong collaboration and interpersonal skills

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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