Member of Technical Staff, AI Systems Engineer
Tasks
- Architect framework integration
- Build testing pipelines for accuracy validation
- Collaborate with hardware architecture teams
- Develop backend integration for custom AI chip
- Implement paged attention performance tuning
- Integrate feedback into silicon software stack
- Map inference primitives to custom chip software layer
- Optimize LLM throughput and memory utilization
- Profile and optimize LLM inference latency
- Validate performance parity against GPU baselines
- Write custom C++ extensions and PyTorch operators
Perks/Benefits
- N/A
Skills/Tech-stack
Apache TVM | Attention algorithms | C++ | CUDA | Concurrent programming | Custom Operator Development | DeepSpeed | Engine integration | FlashAttention | Inference Engine Integration | Inference engine | LLM Inference | MLIR | Machine Learning | Machine Learning Compilers | Memory Management | Mixture of Experts | Operator Development | Paged Attention | Performance optimization | Profiling | PyTorch | PyTorch Cpp Extensions | Python | SGLang | TensorRT | TensorRT-LLM | Transformers | Triton | VLLM
Education
Roles
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