Software QA Engineer

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Software Quality Assurance Engineer will work closely with developers and customers to analyze reported issues and verify defect resolutions. They will test NVIDIA products, ensuring compatibility and high quality, while also developing tools to enhance efficiency. Strong experience in Windows OS and Python scripting is required, along with a background in PC hardware and game testing.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people!

We are seeking an energetic, motivated Software Quality Assurance Engineer to join our Customer Support Team and contribute to our 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. Skilled PC Gamer.

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.

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

  • Focus will be to analyze and reproduce issues reported by Customers, End Users and Partners to ensure a high standard of quality.

  • 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 improve efficiency.

What we need to see:

  • Bachelor 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 experience writing Python scripts required.

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

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

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

  • Experience in PC game testing and troubleshooting.

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

Ways to stand out from the crowd:

  • Good understanding of GPU graphics APIs on DirectX, Vulkan, or Open GL.

  • Familiarity working with NVIDIA GPU hardware a strong plus.

The base salary range is 124,000 USD - 195,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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