Senior Forward Deployed Engineer II (AI/ML)
Tasks
- Architect inference workloads
- Benchmark AI infrastructure
- Build automation tooling
- Collaborate with GPU vendors and model providers
- Create benchmarking systems
- Deploy multi node inference
- Deploy production AI systems
- Develop AI starter kits
- Develop deployment frameworks
- Disaggregate prefill and decode
- Enable customer technical teams
- Implement speculative decoding
- Operate agentic workloads
- Optimize distributed inference performance
- Optimize kv cache
- Optimize latency and cost
- Produce reference architectures
- Tune GPU efficiency
- Validate platform capabilities in production
- Write operational playbooks
Perks/Benefits
- N/A
Skills/Tech-stack
Agents SDK | CUDA | Cache optimization | Continuous batching | CrewAI | Distributed Systems | Go | Inference Optimization | Infrastructure as Code | KV cache | KV cache optimization | Kubernetes | LLM | Langgraph | Latency optimization | Llamaindex | NCCL | NVLink | Networking | Open Source | Open-source AI | OpenAI Agents | OpenAI Agents SDK | Python | Quantization | RCCL | ROCm | Ray Serve | RoCE | SGLang | Speculative decoding | Storage Systems | TensorRT | Triton | VLLM | XGMI | “as-code”
Education
N/A
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