Senior GPU Hardware Validation Engineer - AI Systems

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 136,000 - 259,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior Validation Engineer for the DGX Server Product Engineering Team in Santa Clara, CA. You will own validation from test planning through release, collaborate with ODMs and suppliers, and drive system-level stress and performance testing for GPU-accelerated computing platforms.

The role requires 5+ years validating complex systems, strong communication, and hands-on hardware lab work on-site. Experience with C/C++, Python, and JavaScript is valued.

Qualifications

• BSEE or BSCE or equivalent experience.
• High speed IO validation.
• 5+ years validating and debugging complex systems.
• Developing/running real world workload and factory diagnosis tools.
• Outstanding verbal and written communication skills.
• Collaborating across teams and suppliers to deliver quality products on tight schedules.
• Familiarity with lab instrumentations like Oscilloscopes (Digital Multimeter).
• Deep understanding of computing architectures.
• Coding experience with C/C++, JS and Python.

Responsibilities

• Own end-to-end validation: test plans, automation, validations, and release to production.
• Collaborate with ODMs, suppliers, and QA to ensure coverage.
• Coordinate internal and external teams across time zones.
• Develop system stress and performance tests for DL/AI workloads.
• Address complex HW/SW issues on GPU-accelerated platforms.

Skills

C/C++

Python

JavaScript

System validation

Computing architectures

Education

BSEE or BSCE or equivalent

Tools

Oscilloscopes

Digital Multimeter

Job description

NVIDIA Corporation is seeking a Senior Validation Engineer for the DGX Server Product Engineering Team in Santa Clara, CA. You will own validation from test planning through release, collaborate with ODMs and suppliers, and drive system-level stress and performance testing for GPU-accelerated computing platforms.

The role requires 5+ years validating complex systems, strong communication, and hands-on hardware lab work on-site. Experience with C/C++, Python, and JavaScript is valued.