AI/ML Software Engineer
Tasks
- Analyze and profile AI models
- Build high performance stack for next generation AI
- Collaborate on hardware/software co-design
- Define hardware software interfaces for AI workloads
- Design and implement single multi device scheduling
- Develop and maintain compiler infrastructure
- Develop high performance kernels using RISC-V Vector
- Implement memory management layers
- Implement model sharding and distribution strategies
- Integrate PyTorch with hardware backends
- Optimize and deploy LLMs on RISC-V architectures
- Optimize end to end LLM performance
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Collective Communications | Device orchestration | Diffusion Models | Distributed Computing | IREE | LLMs | LLVM | MLIR | Memory Management | Model Parallelism | Multi device orchestration | ONNX Runtime | PyTorch | Python | RISC-V | RISC-V Vector | Scheduling | Tensor sharding | TensorFlow Lite | Transformers | Triton
Education
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