NVIDIA is seeking a talented individual to work on architecting GPU power features and system-level power management solutions. The role involves collaboration with architects, software engineers, and product teams to develop strategies for energy efficiency across various GPU use-cases. Candidates will leverage machine learning techniques to create accurate power and performance models. This is an exciting opportunity to contribute to cutting-edge technology in visual and AI computing.

• Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering or equivalent experience.
• Knowledge of performance simulators/monitors and Low Power architectures/techniques.
• Working knowledge of Python and frameworks/packages like TensorFlow, Pandas, NumPy, and PyTorch.
• Experience with lab setup and measurement using equipment such as scope/DAQ.

• Work on architecting GPU power features and system-level power management solutions for NVIDIA products.
• Collaborate closely with other architects, software engineers, ASIC design engineers, and product teams.
• Research and develop solutions to address complex energy efficiency problems for various GPU use-cases.
• Deploy machine learning techniques to develop highly accurate power and performance models of GPUs and platforms.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.