Network Engineer Principal Technical Program Manager
NVIDIA
Network Engineer Principal Technical Program Manager
NVIDIA
Designs the chips and software that power AI
NVIDIA is seeking a Principal Technical Program Manager (TPM) for our Enterprise Network Engineering and Infrastructure teams. Our customer base consists of hundreds of deeply intelligent engineers who continually provide us with complex problems to be solved. The highly experienced TPM will provide architectural alignment and technical mentorship. They will also manage projects to develop and operate our end-to-end solutions across company locations and data center facilities. This operation is a key foundation upon which our solutions are delivered to support our customers. You should enjoy working in an energizing environment where speed and flexibility is key to your success. Having depth and breadth knowledge of supporting the teams that operate a complex backbone infrastructure that serves a wide scope of environments is a strength you'll need.
You should have an engineering approach with deep knowledge and experience in three core areas: Project Alignment across IT engineering programs, Process Alignment to improve efficiency, and continuous Gap Analysis on your deliverables. You are passionate about providing outstanding products and thrive in a highly matrixed environment. You will embrace change and enjoy solving challenges.
What you will be doing:
What we need to see:
Ways to stand out from the crowd:
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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