Technical Program Manager
NVIDIA
Technical Program Manager
NVIDIA
Designs the chips and software that power AI
We are now looking for a Program Manager specializing in Silicon Product Definition. The NVIDIA Program Operations group has an immediate opening for a top Technical Project Lead. This group is responsible for the product plan from bring-up to production release. You are someone who thrives in a dynamic environment and isn’t afraid to roll-up your sleeves and get hands dirty. You are a self-starter, with great interpersonal skills, and a leader with a deep sense of dedication to execution excellence.
As a Technical Program Manager on this team, your responsibility includes leading all aspects of and coordinating the end-to-end lifecycle of semiconductor and system development projects. Your deep expertise in semiconductor development, computer architecture, and business operations will be crucial in ensuring the successful execution of projects, meeting timelines, and delivering NVIDIA’s next generation of AI, Gaming and Visualization products tYou will collaborate closely with multi-functional teams, from engineering, operations to marketing, to drive execution excellence in all aspects of our programs.
What you will be doing:
What we need to see:
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran 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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