NVIDIAPower Architect - New College Grad 2027
NVIDIA is hiring a Power Architect - New College Grad 2027 in Santa Clara, United States. It pays $124k-$196k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions PyTorch, TensorFlow and Python among its tools and skills.
- NVIDIA has 2,700+ other open roles on Level.
- Posted within the past week.
AI in this role
Develop power management strategies and machine learning models for GPU architectures.
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!
What you'll be doing:
- 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.
What we need to see:
- 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, PyTorch.
- Experience with lab setup and measurement using equipment such as scope/DAQ
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.
- Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist.
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 24, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.How we rate this
Power Architect - New College Grad 2027 at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where gpu architecture was part of your work. What did you do?
- Tell me about a project where power management was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where performance modeling was part of your work. What did you do?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: GPU Architecture, Power Management, Machine learning, Performance Modeling, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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