NVIDIA Networking Division is looking for an excellent Verification and Validation System Product Engineer! NVIDIA Networking Division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data Center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high performance computing, enterprise, data centers, cloud computing, big data, and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry.
What you'll be doing:
Define test strategy
Design, implement, and execute validation plans for the infrastructure system.
Write efficient, maintainable, and high-quality unit tests for new features and existing codebases
Automate infrastructure testing processes to improve validation efficiency.
Identify potential bottlenecks, vulnerabilities, and failure points within the infrastructure and recommend corrective actions.
Enhance validation efficiency through continuous monitoring and optimization.
Troubleshooting and streamline/optimize our testing procedures.
What we need to see:
B.S. degree or equivalent experience in Engineering/Computer Science/related field.
5+ years of experience in a similar role.
Proven experience in Python programming.
Possess prior experience in Unit testing, with a proven understanding of testing tools and methodologies such as PyTest or other similar frameworks
Experience in software verification or validation.
Strong technical abilities, problem-solving, design, coding, and debugging skills.
Great teammate with strong interpersonal skills.
Excellent interpersonal and communication skills in English.
Strong automation/scripting skills.
Ways to stand out from the crowd:
Knowledge of Networking protocols and the Linux kernel.
Background with production manufacturing flows.
Worked with a manufacturing environment/facility.
Ability to lead feature development, take full ownership of tasks from A-Z, and deliver independently with minimum supervision.
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 on the planet 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. We highly value diversity in our current and future employees.
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.”
