Senior Software Validation Engineer

Nvidia • Santa Clara, CA

69d • $160,000 - $253,000

About The Position

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.

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.

Benefits

• Equity and benefits.

What This Job Offers

• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees