Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 3 Algorithms @ 6 Machine Learning @ 3 TensorFlow @ 3 PyTorch @ 3 Pandas @ 3 GPU @ 3Details
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
Responsibilities
- Working on architecting GPU power features and system level power management solutions for NVIDIA products.
- Collaborating 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.
- Researching and developing solutions to address complex energy efficiency problems for various GPU use-cases such as Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
- Deploying machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.
Requirements
- Pursuing or recently completed a BS, MS, or PhD in Electrical or Computer Engineering (or equivalent experience).
- Knowledge of performance simulators/monitors and Low Power architectures/techniques is a plus.
- Working knowledge of Python and frameworks/packages like TensorFlow, Pandas, NumPy, PyTorch is a plus.
- Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist is a huge plus.
- Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.
Ways to Stand Out
- A master’s degree or internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus!
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you!
Compensation and Benefits
The base salary range is 96,000 USD - 184,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate based on any protected characteristic.