Job
Power Architect - New College Grad 2024
NVIDIA
•
25d ago
đź’Ľ Graduate Job
Santa Clara
🤑 $92K - $178.3K
⌛ Closed
Applications are closed
Description
- NVIDIA is a world leader in providing highly energy efficient products and we continue rapidly growing the research and development of energy-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional perf/watt solutions in a wide range of sectors. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, Automotive, GeForce, and Mobile products.
- We are now looking for a Power Architect - New College Grad.
Requirements
- Pursuing a BS in EE or CE, preferably MSEE/MSCE with course work/projects covering digital circuits, computer architecture and VLSI design or equivalent experience.
- Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus.
- Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch a plus.
- Exposure to industry standard tools/flows such as , Design Compiler, PTPX, and Power Artist etc a huge plus.
- Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.
- Ways to stand out from the crowd:
- A master’s degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus!
Education requirements
Bachelors
Masters
Area of Responsibilities
Software Engineering
Engineering
Responsibilities
- You will be working 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 to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.
- Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
- Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.
Details
Work type
Full time
Work mode
office
Location
Santa Clara
Salary
92000 - 178250 USD