Principal Engineer
NVIDIA
Principal Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA Switches ASIC group is seeking a top-tier ASIC Power technical manager to lead the development of our next-generation ASICs Power execution, modelling, and optimization. Join us in shaping the future of technology! As an ASIC Power Project Lead, you will manage the pre-silicon Power activities of NVIDIA's most advanced and complex switch ASICs. You will collaborate with a cross-disciplinary team, interacting with unit-level ASIC, Physical Design, CAD, Package Design, Firmware & Software, DFT, System Design, Analog Design, and other specialized teams.
What you’ll be doing:
Lead the ASIC Power execution from architecture stages until tape-out.
Post-Silicon Power Activities: Monitor and support chip Power from power-on and bring-up, quality phases, to mass production.
Power Execution Plans: Define and implement Power execution plans in collaboration with cross-discipline leaders.
What we need to see:
BS or MS in Computer or Electrical Engineering or equivalent experience.
15+ overall years of proven experience in chip design.
8+ years of experience in VLSI / chip design, leading teams of at least 8 direct reports.
High system view with ability to collaborate with multiple interfaces.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Experience in ASIC power optimization, ASIC power modelling, thermal, reliability, Power Integrity, Package and Board design is a plus.
If you are creative, autonomous, and love a challenge, we want to hear from you! Join NVIDIA and be a part of the team that is driving the future of technology.
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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