Forward Deployment Engineer (Inference & RL POC)
Mountain View, California, United States
USD 150K-230K (estimate) Mid-level Full Time
Tasks
- Deploy and optimize LLM inference
- Deploy and optimize reinforcement learning training
- Deploy post training workflows
- Diagnose GPU networking bottlenecks
- Feed customer learnings back into platform and APIs
- Integrate SDKs training APIs and cluster resources
- Optimize latency throughput GPU utilization
- Own customer Proof of Concepts end-to-end
- Run benchmarks profiling and stress tests
- Stand up and tune inference stacks
- Translate customer requirements into system designs
Perks/Benefits
Skills/Tech-stack
DeepSpeed | Distributed Systems | Fine Tuning | GPU Performance | GPU Utilization | GPU Utilization Optimization | GPU performance profiling | Go | Human Feedback | Kubernetes | LLM Inference | Latency optimization | Learning from Human Feedback | Machine Learning | MegatronLM | Multi-GPU | Multi-node | NVIDIA Triton | Networking | Performance Profiling | PyTorch | Python | Ray Serve | Reinforcement Learning | Reinforcement Learning Training | Reinforcement Learning from Human Feedback | Rust | SGLang | Supervised Fine Tuning | Throughput Optimization | Utilization Optimization | VLLM
Education
N/A
Regions
Countries
States
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