NVIDIA
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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
#J-18808-Ljbffr
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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
#J-18808-Ljbffr