Senior Hardware System Validation Engineer

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 168,000 - 322,000

Full time

3 days ago
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Job summary

NVIDIA Corporation in Santa Clara is seeking a Senior Hardware System Validation Engineer to lead data center scale validation for compute and storage platforms. You will design test strategies, automate verification with Python, and collaborate across HW, SW, and networking teams.

You’ll perform root-cause analysis in a fast-paced lab, contribute to QA strategies and test documentation, and work with Lustre, Kubernetes, Docker, and CI/CD tooling. Equity and benefits accompany the role.

Qualifications

  • 10+ years of validation experience in hardware/software for data center/storage environments.
  • 5+ years in Software Quality Engineering & storage verification with QA strategy and test documentation.
  • Proficiency in test framework and automation scripts; CI/CD with Python, Shell, Ansible, Git & Jenkins.
  • Solid understanding of system-level debugging and analysis tools.
  • Strong communication and cross-functional collaboration with Dev & Product Management.
  • Experience using AI coding assistants to improve coding efficiency and correctness.

Responsibilities

  • Develop and extend test strategies; execute to ensure high quality from functional and performance perspectives.
  • Design and develop software that automates verification of all Data Center Scale infrastructure components; build efficient automation tools.
  • Validate distributed storage systems (e.g., Lustre) on AI/HPC Datacenter scale infrastructure.
  • Collaborate with application teams, HW designers, networking, FW, security to debug HW/SW issues.
  • Debug, triage issues, perform root cause analysis, verify fixes, and improve test plans.
  • Lead defect fixing, root-cause analysis, and bug lifecycle management.

Skills

Python
CI/CD
Automation
Shell
Git
Docker
Kubernetes
Linux
Problem solving

Education

MSEE/MSCE in Electrical/Computer Engineering

Tools

Jenkins
Ansible
Docker
Kubernetes
Git
Python tooling

Job description

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an amazing computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world – scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be.

We are looking for a Senior Hardware System Validation Engineer to lead HW validation activities in the Datacenter Systems Engineering team.

You’ll work closely with solution architects, HW system engineers, Software, Network & Storage architects, validation engineers, OEM/ODMs, and AE teams to ensure product validation and test coverage are optimal. The ideal candidate is self‑motivated, works well with different teams, very comfortable in a lab environment and demonstrates passion towards product level validation. They should have strong debug analysis fundamentals as well as automation and scripting experience. They must be capable of thriving in fast paced environment with evolving product definitions.

What you’ll be doing:
  • 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. Your expertise in developing efficient and reliable automation tools with Python will play a crucial role in streamlining our testing processes.
  • 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.
  • Your strong problem‑solving skills will allow you to address challenges with efficiency and precision.
What we need to see:
  • 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.
Ways to stand out from the crowd:
  • 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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