Software Engineer, DL Kernel Libraries - New College Grad 2027
$108k - $196k • US, CA, Santa Clara
Posted 8d ago
About the job
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Come join the DL Kernel Library team and see how you can make a lasting impact on the world. We're looking for Software Engineer Interns to help develop groundbreaking technologies in the deep learning inference and training systems software stack! We build innovative AI systems software, primarily cuDNN and FlashInfer. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient kernel implementations, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads.
Responsibilities
- Innovate and develop new AI systems technologies for efficient inference and training.
- Design, implement, and optimize kernels for high-impact AI workloads.
- Design and implement extensible abstractions for serving engines and training frameworks.
- Build efficient just-in-time domain-specific compilers and runtimes.
- Collaborate with engineers across deep learning frameworks, libraries, kernels, and GPU architecture teams.
- Contribute to open-source communities including FlashInfer, cuDNN, vLLM, SGLang, PyTorch, JAX, and XLA.
Requirements
- BS, MS, or PhD degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
- Strong experience in developing or using deep learning frameworks (e.g., PyTorch, JAX, TensorFlow, ONNX) or inference engines and runtimes (e.g., vLLM, SGLang, MLC).
- Strong Python and C/C++ programming skills.
Benefits
- Equity
- Benefits