Member of Technical Staff, AI Engineering
USD 162K-297K (estimate) Senior-level Full Time
Tasks
- Analyze and profile workloads to identify bottlenecks
- Architect large scale custom model training and fine tuning jobs
- Collaborate with hardware architects on next generation GPU features
- Design and develop autonomous AI agents for multi step workflows
- Design and implement performance regression testing suites
- Mentor engineers on parallel programming and optimization
- Optimize training throughput and memory efficiency
- Write and optimize high performance CUDA HIP or assembly kernels
Perks/Benefits
- Income Protection for Illness or Injury
- Medical, dental, vision plans
- Paid Holidays
- Paid family leave
- Paid time off
Skills/Tech-stack
Autogen | BF16 | C++ | CI/CD | CUDA | CUDA profiling | DDP | DeepSpeed | Distributed Training | Docker | FP16 | FSDP | Function Calling | GPGPU | GPU Architecture | Git | HIP | High Performance | High-performance kernels | Jenkins | Kubeflow | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | LoRA | Megatron-LM | Mixed Precision | Multi-GPU | OpenCL | PEFT | Prompt engineering | PyTorch | QLoRA | Ray | Scikit-learn | Slurm | TensorFlow | TensorRT-LLM | Tool/function calling | Triton | VLLM
Education
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