Senior GPU Architect, Deep Learning
$184k - $357k • US, CA, Santa Clara
Posted 1d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
AI Infrastructure Engineer
About the job
NVIDIA's GPU Architecture group is seeking world-class architects and software developers to lead architecture efforts. The role focuses on innovating in graphics and parallel computing to deliver the highest performance for deep learning and parallel processing algorithms. You will be responsible for developing and enhancing GPU architecture features, advancing parallel programming models, and designing new architectures to maintain leadership in AI computing. This involves interacting with other architects and researchers to build simulators, map deep learning workloads to hardware, and validate new architectural features.
Responsibilities
- Design new hardware features for future processing architectures targeted at deep learning workloads, including training and inference.
- Advance the state of parallel computation.
- Develop software for hardware simulators, test infrastructures, and metrics systems.
- Document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.
- Develop tests, test plans, and testing infrastructure for new graphics or parallel processing architectures.
- Work with simulators, RTL, and silicon.
Requirements
- MS in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
- Experience working with hardware targeted at deep learning or mapping deep learning algorithms to hardware.
- 8+ years of relevant industry experience in GPU or other parallel programming architectures.
- Strong programming ability in C, C++, Perl, and Python.
- Background in computer architecture, parallel processing, signal processing, and/or high-performance computing.
- Knowledge of state-of-the-art DL algorithms and attention mechanisms is a significant advantage.
Benefits
- Equity
- Benefits