Research Engineer - LLM/VLM Inference Optimization (Seed Infra)
Tasks
- Build model toolchains and technical ecosystem
- Conduct performance analysis and identify bottlenecks
- Design high performance inference systems for large scale LLMs and VLMs
- Develop model inference engines with performance optimization techniques
- Optimize end to end deployment pipelines
Perks/Benefits
- 401k matching
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Short-term disability
- Vision insurance
- Wellbeing benefits
Skills/Tech-stack
C# | C++ | CPU architecture | CUDA | Containerization | Conv2D | Cutlass | FlashAttention | GEMM | GEMV | GPU Architecture | GPU Programming | Graph Fusion | Low Precision | Low-precision computation | OpenCL | Parallel Computing | Performance Modeling | Performance Profiling | PyTorch | Python | Speculative decoding | Streaming inference | TensorFlow | TensorRT | Triton
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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