Senior Software Development Engineer in Test - SDET

Posted 13 Hours Ago
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Santa Clara, CA, USA
In-Office
140K-270K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, implement, and maintain automated tests and test infrastructure to validate NVIDIA enterprise offerings (NIM, NeMo, BioNeMo). Collaborate with developers to triage issues, perform root-cause analysis, verify fixes, and improve test plans. Leverage AI capabilities to accelerate QA processes and investigate LLM/AI model testing approaches.
Summary Generated by Built In

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 June 14, 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.

Skills Required

  • MS or PhD 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.
  • Experience working with NVIDIA GPU hardware.
  • Background in parallel programming.
  • Experience with virtualization technologies such as Docker, Kubernetes, and OpenStack.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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