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.
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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.”
