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NVIDIA

Designs the chips and software that power AI

Senior Engineer - Performance

Performance TestingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent experience in a technical or business marketing field, along with 5+ years of experience.
  • Knowledge of Enterprise Workstation, AI, and LLM application benchmarking fundamentals, 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 is preferred.
  • Expert knowledge of hardware and PC components to identify and root-cause performance bottlenecks.
  • Strong verbal and written interpersonal skills.
  • Ability to balance multiple simultaneous projects successfully.

Responsibilities

  • Work directly with Marketing, Architecture, and Engineering across Enterprise business units to provide competitive and internal data analysis that sets industry performance expectations, supports new product initiatives, and informs business decisions.
  • Bring up, maintain, and debug pre-production, reference, and consumer hardware to help build new products.
  • 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 tools and create efficient processes to improve benchmarking analysis and reporting workflows.
  • Analyze and validate results from test runs and prepare reports for various groups within the company.

Desired Qualifications

  • 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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