Network Solution Verification Manager
NVIDIA
Network Solution Verification Manager
NVIDIA
Designs the chips and software that power AI
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation fueled by great technology—and amazing people. We are seeking a Network Solution Verification Manager to join our R&D organization, leading the validation of NVIDIA's customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.
In this role, you will build and lead a team of validation engineers, owning the strategy, methodology, and execution of simulation-based validation frameworks that ensure NVIDIA's networking solutions meet the highest standards of quality, scale, and real-world applicability before reaching customers.
What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
With competitive salaries and a generous benefits package, NVIDIA is widely recognized as 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, and our engineering teams continue to grow rapidly to meet extraordinary demand. If you are a technically strong leader passionate about networking, simulation, and building world-class validation organizations, we want to hear from you.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status, or any other characteristic protected by law.
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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