MTS, AI Engineering, SMAI
TWD 140K-500K (estimate) Senior-level Full Time
Tasks
- Analyze and profile compute memory and latency bottlenecks
- Architect and execute model training and fine tuning jobs
- Collaborate with hardware architects on GPU feature definitions
- Develop autonomous AI agents for manufacturing workflows
- Implement performance regression testing suites
- Mentor engineers on parallel programming and optimization
- Optimize training throughput and memory efficiency
- Write and optimize high performance GPU kernels
Perks/Benefits
- N/A
Skills/Tech-stack
Autogen | Autoregressive Language Models | BF16 | C++ | CI/CD | CUDA | Chain-of-Thought | Data-parallel | DeepSpeed | Distributed Data Parallel | Distributed Training | Distributed data | Docker | FP16 | FSDP | Fully Sharded Data Parallel | Function Calling | Git | HIP | Java | Jenkins | Kubernetes | Langchain | Langgraph | Language Models | Llamaindex | LoRA | Megatron-LM | Mixed Precision | Model Parallelism | NVLink | PEFT | Prompt engineering | PyTorch | Python | QLoRA | Ray | Slurm | TensorRT-LLM | Tool use | Triton | VLLM
Education
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