Software QA Manager

Reposted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The QA Manager will lead the QA team, ensuring the highest quality for NVIDIA products through collaboration, automation, and mentoring team members.
Summary Generated by Built In

We are looking for a QA Manager to own a new testing domain, which enables NVIDIA products to meet the industry leading benchmarks of efficiency and quality. The ideal candidate will able to learn new features, execute manual/automated tests and be technical expert to the team

What you’ll be doing:

  • Lead the QA team from the planning stage through execution up to GA release, with the highest quality for the NVIDIA products

  • Collaborate with peer engineering teams, and program/product management to ensure that product requirements, goals and objectives are met or exceeded

  • Lead and implement analysis, debugging tracking flows with accordance to QA and SW methodologies

  • Review the teams test-plans for the product coverage and strive for full automation

  • Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team

  • Mentor and guide the professional and technical development of the team members

  • Review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are performing in the most efficient way

What we need to see:

  • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field

  • 3+ overall years of experience as a QA and QA Automation Engineer

  • 2+ years of managerial experience

  • Demonstrated ability to collaborate and engage other peers in the organization and with support organizations

  • Experience with scripting language

  • Outstanding leadership, communication, interpersonal, and analytical skills with the ability to successfully lead multiple teams in highly dynamic matrix organization

  • Good understanding of networking concepts.

Ways to stand out from the crowd:

  • Expert level in Python programming

  • Experience with Kubernetes, dockers & virtualization

  • Background with release management, V&V, E2E testing

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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.

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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