We are looking for an experienced Software QA Engineer to join NVIDIA. This position will be part of the sofrware QA team while the main goal is to test the physical layer area, which enables NVIDIA products to meet the industry-leading benchmarks of efficiency and quality. The ideal candidate will be responsible for developing and implementing automation solutions that will drive efficiency and productivity across our engineering efforts. Your work will directly contribute to the flawless execution of our projects and help NVIDIA maintain its position as a world-class technology leader. You will also engage in creating tests for many industry-leading features and be able to learn new technologies, features, and develop automated tests.
What you'll be doing:
Reviewing arch design and requirements for new features introduced in the SoC software
Collaborating with diverse teams to identify automation requirements and devise creative solutions
Designing, developing, and implementing automation tests, frameworks, and tools to streamline engineering processes
Assisting with issues reproduction and debugging to understand the root cause and reporting new bugs
Maintaining and executing automated tests to ensure the quality and reliability of our products
Resolving automation issues and optimizing operations for seamless functionality and minimal interruptions.
Providing technical guidance and mentoring to junior engineers to foster their growth and development
What we need to see:
B.A. / B.Sc. in Computer Science or Electrical Engineering
2+ years of experience in the QA field or Automation
Strong programming skills in Python
Background with QA Methodologies and testing tools
Strong problem-solving abilities to identify and resolve automation issues effectively
Independent, responsible worker, able to plan and deliver
Great teammate with good communication and interpersonal skills
Ways to stand out from the crowd:
Experience in VMware
Experience in Linux operating systems
Knowledge of Networking test design and automation
Familiarity with virtual machines and hypervisor environments with good knowledge of computer hardware
Fluent English communication skills
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) based on 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.”
