Senior Hardware System Validation Engineer

NVIDIA•Us, CA

11d

About The Position

NVIDIA is seeking a Senior Hardware System Validation Engineer to join the Datacenter Systems Engineering team. This role involves leading HW validation activities and collaborating with various teams, including solution architects, HW system engineers, Software, Network & Storage architects, validation engineers, OEM/ODMs, and AE teams, to ensure optimal product validation and test coverage. The ideal candidate is self-motivated, works well in a lab environment, possesses strong debug analysis fundamentals, and has automation and scripting experience. They should be capable of thriving in a fast-paced environment with evolving product definitions.

Requirements

MSEE/MSCE or equivalent experience
10+ years of validation experience
Over 5 years of proven experience in Software Quality Engineering & Storage system verification desired including significant contributions to QA strategies and test documentation.
Proven expertise in Test Framework & automation scripts development, CI/CD experience using Python, SHELL, Ansible, Git & Jenkins, docker containers & Kubernetes.
Solid understanding of system-level debugging and analysis tools
Strong communication skills and ability to participate in cross-functional quality initiatives & Cross-collaboration with Dev & Product Management teams to understand specification
Excellent design, debugging and problem-solving skills, with a strong bias for action, quality and engineering excellence.
Experience in using AI coding assistants to improve coding efficiency and correctness

Nice To Haves

Experience with GPU server architecture and storage validation in Datacenter infrastructure.
Hands on & expertise with Kubernetes, Docker containers & Jenkins pipelines
Certifications in storage (e.g., SNIA) or HPC systems or Storage Performance
experience with mdtest or FIO tool.

Responsibilities

Developing new and extending existing test strategies & executing to guarantee the highest level of quality from both functional and performance perspectives.
Designing and developing software that automates the verification of all Data Center Scale infrastructure components.
Validation of distributed Storage systems (e.g., Lustre) on AI/HPC Datacenter scale infrastructure.
Collaborate with multi-functional teams including application teams, HW designers, networking team, FW, security etc. to debug any HW/SW product issues.
Debug, triage issues, perform root cause analysis, verify fixes, define new tests, and improve product test plans.
Analyzing and root-causing issues down to the code level, leading the defect fixing process, and bug life cycle management.