Senior Software QA Engineer

Posted Yesterday
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Santa Clara, CA
In-Office
128K-201K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Join the Customer Support Team to provide software QA for NVIDIA products, troubleshoot issues, and implement tools that improve productivity.
Summary Generated by Built In

We are seeking energetic, hardworking Software Quality Assurance Engineers to join our Customer Support Team and provide world-class support. Strong Windows OS knowledge and in-depth experience with various PC hardware, debugging technologies. Selected person will work closely with our customers, developers, PMs and internal teams on existing and upcoming NVIDIA products, new features, and technologies.

What you'll be doing:

  • Work with software developers, program managers, and customers to investigate reported issues, assist in root cause determination, and verify reported defects are fixed.

  • Replicate Customer / End user reported issues.

  • Candidate will be working on the latest NVIDIA products and technologies and provide software technical support to our customers and partners.

  • Focus will be to analyze and reproduce issues reported by OEMs customers and partners.

  • Additional responsibilities include testing NVIDIA products on customer specific platforms to ensure compatibility and provide timely communication to cross-functional groups.

  • You will help triage, isolate, and resolve reported problems.

  • Develop and implement software tools that improves productivity.

What we need to see:

  • Bachelor or Masters degree in Computer Science, Electronics, Software Engineering, or equivalent experience.

  • 5+ years’ experience with 2+ years customer support or software -hardware testing experience required.

  • Experience troubleshooting and resolving hardware or software issues a must.

  • Deep understanding of the Windows OS.

  • Extensive scripting using Python required.

  • Deep knowledge of PC architecture, supercomputers, and computer clusters.

  • Must have extensive experience building, configuring, and troubleshooting PCs, or laptop systems.

  • Experience with debugging tools, memory dump analysis and remote debug.

  • Strong interest in or knowledge of CUDA, OpenCL, and deep learning AI.

  • The candidate should be willing to work flexible hours.

Ways to stand out from the crowd:

  • Strong interest and knowledge of Generative AI and various LLMs.

  • Automation experience using C/C++, Ansible, Java, JavaScript.

  • Familiarity working with NVIDIA GPU hardware a strong plus as well as prior experience in PC Game Testing will be an added advantage.

  • Strong analytical & problem-solving skills, excellent interpersonal skills and should be able to handle multiple projects independently.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 25, 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.

Top Skills

Ansible
C
C++
Cuda
Java
JavaScript
Opencl
Python
Windows Os
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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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