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 other objective job-related factors. The expected base salary ranges for this position are:
- 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 November 3, 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.
