The role involves innovating and developing new AI systems technologies for efficient inference and designing, implementing, and optimizing kernels for high-impact AI workloads. Collaboration with other engineers at NVIDIA across various teams is also a key aspect of the job.
Requirements:
Candidates should have a Master's degree in Computer Science, Electrical Engineering, or a related field, with a preference for a PhD. A minimum of 6 years of experience in ML/DL systems development and strong programming skills in Python and C/C++ are required.
Key Skills:
- Machine Learning
- Deep Learning
- Python
- C/C++
- GPU Kernel Development
- Performance Optimization
- Matrix Multiplication
- AI Systems
- Inference Engines
- Domain Specific Compilers
- Open Source Contributions
- LLM Serving Engines
- CUDA
- Triton
- FlashInfer
- SGLang
Benefits:
- Equity
- Health Insurance
Senior Software Engineer, Matrix Multiplication in mi at Unknown Company
This position is listed as full time and onsite.