Senior Signal & Power Integrity Engineer
NVIDIA
Senior Signal & Power Integrity Engineer
NVIDIA
Designs the chips and software that power AI
We are looking for Senior Signal & Power Integrity Engineer.
NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence!
We work closely with NVIDIA sites in USA and China and have access to extensive knowledge, technologies and tools. Taking the products from concepting, through design, implementation, verification and release to customers. If you thrive working with highly skilled people that enjoy reaching challenging goals then NVIDIA might be the perfect workplace for you. This is a dynamic team working with state of the art, unique technology.
If you are someone that loves a challenge, come join this diverse team and help move the needle !
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, 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 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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