NVIDIA is seeking a talented individual to work on architecting GPU power features and system-level power management solutions. The role involves collaborating with various teams to develop and implement power management strategies for NVIDIA's GPU roadmap. Candidates will research and address energy efficiency challenges across different GPU use cases, including deep learning and gaming. This is an exciting opportunity to contribute to cutting-edge technology in a dynamic environment.

• Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering or equivalent experience.
• Knowledge of performance simulators and low power architectures or techniques is a plus.
• Working knowledge of Python and frameworks like TensorFlow, Pandas, NumPy, and PyTorch is a plus.
• Exposure to tools such as Design Compiler, PTPX, and Power Artist is a huge plus.
• Experience with lab setup and measurement using equipment such as scope or DAQ is helpful.

• Architect GPU power features and system-level power management solutions for NVIDIA products.
• Collaborate closely with 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 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.