Senior Hardware Validation Engineer

NVIDIA•Santa Clara, CA

3d•$136,000 - $258,750•Onsite

About The Position

NVIDIA is seeking a Senior Validation Engineer for the DGX Server Product Engineering Team. This role involves working with a team of HW/SW engineers to develop and implement complex automated test plans for industry-leading GPU accelerated computing products. The engineer will be responsible for the entire validation process, from test plan development and automation to bug resolution and release to production. This position requires collaboration with ODMs, component suppliers, and QA teams, as well as coordinating with internal and external teams across different time zones. The role also involves developing system-level stress and performance testing strategies using Deep Learning/AI applications and solving complex hardware and software issues on GPU accelerated computing platforms.

Requirements

Ability to work on site in hardware lab environment 5 days a week
BSEE or BSCE or equivalent experience
High speed IO validation
5+ years or more of experience in validating and debugging complex systems.
Developing/running real world workload and factory diagnosis tools
Outstanding verbal and written communication skills.
Proficient in collaborating across teams and suppliers to deliver quality products on tight schedules.
Familiarity with lab instrumentations like Oscilloscopes (Digital Multi Meter)
Deep understanding of computing architectures.
Coding experience with programming and scripting languages such as C/C++, JS and Python.

Nice To Haves

Experience with datacenter products including system management, security, networking, and storage.
Background with x86/Arm server architectures and accelerated GPU computing.
Track record of continuous process improvement with a passion for tools and automation.
Proven knowledge in Circuit and Waveform analysis.

Responsibilities

Own validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production.
Collaborate with ODMs, component suppliers, and QA teams to ensure no gaps in coverage.
Coordinate internal and external teams in different times zones.
Develop system level stress and performance testing strategies using industry leading Deep Learning/AI applications.
Solve complex system level hardware and software issues on GPU accelerated computing platforms.