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NVIDIA

Designs the chips and software that power AI

Performance Engineer

Performance TestingUpdated on Oct 31
Full-timeIn-person

About the Job

Requirements

  • A degree from a leading university in a field relevant to computer science, or equivalent experience.
  • At least 5 years of experience in production or project/program management of performance-critical productivity, creative, or gaming software.
  • Experience with benchmark methodology and reviewing PC hardware and games.
  • Experience balancing multiple projects with large, geographically distributed teams.
  • A solid understanding of Agile principles and methods.
  • Experience with executive reporting and effective internal communication.
  • A background handling technical customer relationships and effective customer communication.

Responsibilities

  • Characterize the performance and interoperability of the latest gaming technologies against production and future hardware.
  • Collaborate with internal driver, software development kit, developer technology, and partner studio teams to ensure compatibility, stability, and performance.
  • Monitor and provide feedback on test suites, benchmarks, and automated validation tools to assess performance, image quality, and stability.
  • Analyze performance regressions, graphical anomalies, or gameplay stability issues, and drive resolution with engineering teams.
  • Continuously improve test processes, tools, and methodologies to support faster, more reliable driver validation cycles.
  • Provide transparency into the status, dependencies, and targets of each new technology across teams within the GeForce business unit.

Desired Qualifications

  • Experience with development toolchains and processes.
  • Experience with Game quality assurance processes and workflows.
  • Experience with performance benchmarking and gameplay testing.
  • Experience in AI software development.
  • Variety and vision in project management methodology and toolset.

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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