Job description

At NVIDIA, we are at the forefront of technological innovation, pushing the boundaries of AI and accelerated computing. Our team in Santa Clara, CA is looking for a Senior Software Engineer in Test to join us in this exciting journey. This is a ground breaking opportunity to work with powerful technology, collaborate with a world-class team, and make a significant impact in the industry. If you are passionate about AI and quality assurance, and thrive in a dynamic environment, this role is perfect for you! What you'll be doing: • Accomplishing test cases to validate NVIDIA enterprise offerings, such as NIM, NeMo, and BioNeMo. • Crafting, implementing, and maintaining automated test cases and supporting automation infrastructure. • Collaborating with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and improve test plans. • Investigating and bringing to bear AI capabilities to accelerate the Quality Assurance (QA) process. What we need to see: • MS or PhD degree in computer science or relevant field, or equivalent experience. • At least 5+ years of professional experience in software testing. • Proficiency in oral and written English. • Comfort working with Linux OS. • Strong skills in shell and Python programming. • Strong knowledge of QA principles and background in software testing. • Experience using AI development tools for crafting test plans, developing test cases, and automating test cases. • Excellent problem-solving abilities. • Strong interpersonal skills, quick learning ability, proactive approach, innovation, and dedication. • Self-motivation and a passion for learning new hardcore technology. • Knowledge in LLM and AI models is a plus. Ways to stand out from the crowd: • Experience working with NVIDIA GPU hardware. • Background in parallel programming. • Experience with virtualization technologies such as Docker, Kubernetes, and Openstack. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people on the planet working for us. If you're creative and autonomous, we want to hear from you! 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 . Applications for this job will be accepted at least until August 30, 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.

Requirements

Must-haves

Accomplishing test cases to validate NVIDIA enterprise offerings, such as NIM, NeMo, and BioNeMo.
Crafting, implementing, and maintaining automated test cases and supporting automation infrastructure.
Collaborating with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and improve test plans.
Investigating and bringing to bear AI capabilities to accelerate the Quality Assurance (QA) process.
MS or PhD degree in computer science or relevant field, or equivalent experience.
At least 5+ years of professional experience in software testing.
Proficiency in oral and written English.
Comfort working with Linux OS.
Strong skills in shell and Python programming.
Strong knowledge of QA principles and background in software testing.
Experience using AI development tools for crafting test plans, developing test cases, and automating test cases.
Excellent problem-solving abilities.
Strong interpersonal skills, quick learning ability, proactive approach, innovation, and dedication.
Self-motivation and a passion for learning new hardcore technology.
Experience working with NVIDIA GPU hardware.
Background in parallel programming.
Experience with virtualization technologies such as Docker, Kubernetes, and Openstack.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 30, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

Knowledge in LLM and AI models is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonllmdockerkubernetes

Platform: eightfold
Effort: medium