Senior Software Validation Engineer

Details

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, determination and team, that guide us to be the best we can be.

Role overview

We are looking for a Senior Software Validation Engineer to lead software validation activities in the Datacenter Systems Engineering team. You will work closely with solution architects, hardware 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, is very comfortable in a lab environment and demonstrates passion towards product-level validation. Strong debug analysis fundamentals as well as automation and scripting experience are required. The role requires thriving in a fast paced environment with evolving product definitions.

Responsibilities

• Develop new and extend existing test strategies and execute them to guarantee the highest level of quality from both functional and performance perspectives.
• Design and develop software that automates the verification of all Data Center scale infrastructure components, with heavy emphasis on automation tools written in Python.
• Validate distributed storage systems (e.g., Lustre) on AI/HPC datacenter-scale infrastructure.
• Collaborate with multi-functional teams including application teams, hardware designers, networking, firmware, security, OEM/ODM partners to debug HW/SW product issues.
• Debug, triage issues, perform root cause analysis, verify fixes, define new tests, and improve product test plans.
• Analyze and root-cause issues down to the code level, lead defect fixing process and bug lifecycle management.

Requirements

• MSEE/MSCE or equivalent experience.
• 10+ years of validation experience.
• Over 5 years of proven experience in Software Quality Engineering and storage system verification, including contributions to QA strategies and test documentation.
• Proven expertise in test framework and automation script development; strong CI/CD experience using Python, SHELL, Ansible, Git & Jenkins.
• Experience with container technologies (Docker) and orchestration (Kubernetes).
• Solid understanding of system-level debugging and analysis tools; strong design, debugging and problem-solving skills.
• Strong communication skills and ability to participate in cross-functional quality initiatives and collaborate with development and product management teams to understand specifications.
• Experience using AI coding assistants to improve coding efficiency and correctness.

Ways to stand out

• Experience with GPU server architecture and storage validation in datacenter infrastructure.
• Hands-on expertise with Kubernetes, Docker containers and Jenkins pipelines.
• Certifications in storage (e.g., SNIA), HPC systems, or storage performance experience with mdtest or FIO tools.

Compensation & other information

• Base salary range: 160,000 USD - 253,000 USD (final base salary determined by location, experience, and pay of employees in similar positions).
• You will also be eligible for equity and benefits.
• Applications for this job will be accepted at least until October 18, 2025.

Equal opportunity

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate (including in 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.