We are looking for an experienced engineer to join our SW/FW testing team. This position will be part of QA group, which enables NVIDIA products meet the industry leading benchmarks of efficiency and quality. The ideal candidate will engage in testing of industry-leading features, be able to learn new features, execute manual and automated tests, and participate in automation development.
What you'll be doing:
Review arch design and requirements documents for new features introduced in different domains
Design, develop and implement tests for the new features, as part of SW/FW update releases
Automate newly added tests in the existing automation framework, add new capabilities and features to the framework
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed
Perform tests in different scopes: regression, performance, functional, security; report progress of testing and provide summary reports of testing activity
What we need to see:
Practical / BSc in Computer Science or Electrical Engineer
2+ years of proven experience in QA
Scripting skills and proven experience in Python
Clear verbal and written communication, proficient written and spoken English
Independent worker, able to plan and shine in area of responsibility
Standout colleague with good communication, desire to lead
Ways to stand out from the crowd:
Knowledge / experience in Networking
Familiarity with ITU-T standards and synchronization protocols, such as SyncE and PTP or equivalent experience.
Proven experience in QA - methodologies, test design
Top Skills
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.”
