Senior Software QA Test Development Engineer - Diagnostics

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 140,000 - 224,250; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA Gruppe is looking for a talented engineer in Santa Clara, California, to develop and execute test plans for its advanced platforms. The role requires a Bachelor's degree and extensive experience in automation, OS, and server environments, alongside expertise in programming languages such as Python and C/C++.

Additionally, the ideal candidate will possess strong troubleshooting skills in Linux and have a good understanding of AI tools. The role also includes collaboration with an agile team to ensure production quality standards are met.

The competitive salary for this position ranges from $140,000 to $270,250, depending on experience and level.

Qualifications

• 5+ years proven experience or master’s degree.
• Strong server and Linux troubleshooting and debugging experience.
• Good knowledge in model testing and AI tools/frameworks.

Responsibilities

• Develop and execute NVIDIA HGX/DGX/MGX platform test plan.
• Drive root cause analysis on test failures.
• Build and debug server and OS level automation frameworks.

Skills

OS and server level automation

CI/CD process

Python

SHELL

Ansible

Jenkins

C/C++

Java

JavaScript

Linux troubleshooting

AI tools/frameworks (TensorFlow, PyTorch)

GitHub/Gitlab/Gerrit

Docker

Kubernetes

Education

Bachelor’s Degree in a STEM field

Job description

What you’ll be doing:

• Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, firmware and CUDA software stack from design doc.
• Installing and testing various systems OS, server firmware and software stack.
• Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
• Build, develop and debug server and OS level automation front‑end and back‑end framework and tests.
• Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.
• Work in an agile software development team with very high production quality standards.
• Manage bug lifecycle and collaborate with inter‑groups to drive solutions.

What we need to see:

• Bachelor’s Degree (or equivalent experience) in a STEM field.
• 5+ years proven experience; or master’s degree.
• Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript.
• Strong server and Linux (Ubuntu, RedHat, CentOS, SuSE, Fedora and etc.) troubleshooting and debugging experience in a bare‑metal and KVM/VMWare/Hyper‑V environment.
• Good knowledge and hands‑on experience in model testing, AI tools/frameworks (TensorFlow, PyTorch, Cursor and etc.), NLP and LLM benchmarking.
• Experience in using AI development tools for test plans creation, test cases development and test cases automation.
• Strong experience in firmware, BMC/OpenBMC, network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub‑devices, CPU and memory, ACPI, UEFI spec, Redfish – huge plus.
• Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker – huge plus.

Ways to stand out from the crowd:

• AI related tools, LLM and NLP.
• Experience working with NVIDIA GPU hardware is a strong plus.
• Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes).
• Background in parallel programming ideally CUDA/OpenCL is a plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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.