Senior Software Validation Engineer

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
160K-253K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead software validation activities, develop test strategies, automate verification processes, collaborate across teams, and debug issues in Data Center infrastructure.
Summary Generated by Built In

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 Software Validation Engineer to lead software 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 160,000 USD - 253,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 18, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

Ansible
Docker
Git
Jenkins
Kubernetes
Lustre
Python
Shell
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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