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NVIDIA

Designs the chips and software that power AI

Lead Hardware Design Validation Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree or higher in Electrical Engineering or Computer Engineering, or equivalent experience.
  • At least 8 years of related experience, with a proven track record as a technical lead for a shipping hardware product.
  • Proven leadership of validation through an entire product cycle, from bring-up to mass production.
  • Strong system troubleshooting skills covering silicon, board, signal integrity, firmware, operating systems, and applications.
  • Hands-on experience with power validation, including power delivery networks, power regulators, sequencing, telemetry, and protection.
  • Expertise in high-speed input/output functionality and electrical validation, such as PCIe, SerDes, Ethernet, USB, or display.
  • Proficiency in low-speed input/output functionality and electrical validation, including I2C, SPI, UART, JTAG, SMBus, and reference clock.
  • Experience defining and completing system-level stress workloads—including thermal, power, input/output, memory, mixed-mode, corner voltage/frequency, and Wide Area Test—to expose marginality and uncover corner-case failures.
  • Proficiency with lab equipment and scripting, and comfort working in Linux environments, including driver and firmware debugging.
  • Strong communication and program management skills, with the ability to lead across multiple teams, sites, and time zones.
  • Experience with manufacturing test plans, collaborating with operations, contract manufacturer, and original equipment manufacturer teams, and driving production debugging and yield improvement.
  • Willingness to travel to local manufacturing sites near Santa Clara, typically up to 5%, to support new product introduction builds and unblock the factory.

Responsibilities

  • Own end-to-end product validation from architecture and design through bring-up to mass production; set strategies, define test plans, and track progress to ensure the product meets specifications and ships successfully.
  • Lead and mentor design validation engineers; guide related validation teams, including thermal, electromagnetic interference, and reliability, as well as partners such as joint design manufacturers, through validation cycles.
  • Represent design validation in executive and cross-functional product reviews and debugging forums.
  • Own validation status, risks, milestones, and release readiness as the accountable technical owner.
  • Define full-system test plans based on product design, including power, high-speed and low-speed input/output, clock and resets, manageability, sensors, telemetry, firmware, and full-system functional and stress validation.
  • Guide manufacturing test approaches and contribute to production troubleshooting and yield improvement.
  • Collaborate with and lead vendors and partners to complete validation activities.
  • Drive system-level debugging and root-cause analysis on complex issues, including critical field returns, spanning silicon, board, system, signal integrity, firmware, and software.
  • Influence product design through design reviews and validation and debugging feedback.
  • Build scalable validation automation and lab infrastructure across product lines.

Desired Qualifications

  • Experience leading validation for a GPU, server, automotive platform, or AI accelerator from first silicon to mass production.
  • Datacenter platform experience, including high-density or rack-scale power, liquid cooling such as cooling distribution units, manifolds, and leak detection, and manageability such as a baseboard management controller.
  • Proven capability in managing or technically leading a team of validation engineers.
  • Willingness to travel internationally, primarily to manufacturing sites in Asia such as Taiwan and mainland China, up to 8% during new product introduction peak to support builds.

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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