Senior NPI Engineer
NVIDIA
Senior NPI Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA Networking division is a leading supplier of innovative end-to-end NVLINK, 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, bringing to bear NVIDIA’s AI solution and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors, including high-performance computing, enterprise, data centers, cloud computing, big data, and Web 2.0.
We are constantly challenging ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most dedicated and forward-thinking individuals in the world working for us. If you are creative and autonomous, we want to hear from you! NVIDIA Networking division is looking for an excellent NPI Engineer. Join us on your quest for an outstanding career with an extraordinary team!
What you'll be doing:
What we need to see:
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!
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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