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 . Applications for this job will be accepted at least until September 26, 2026. 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.

Requirements

Must-haves

Developing new and extending existing test strategies & executing to guarantee the highest level of quality from both functional and performance perspectives.
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.
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
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaici/cddockerkubernetes

Platform: eightfold
Effort: medium