Staff Forward Deployed Engineer
Tasks
- Automate deployment with infrastructure-as-code
- Benchmark AI infrastructure performance
- Build production ready proofs of concept
- Collaborate on partner delivery frameworks
- Create migration planners and reusable tooling
- Develop GenAI starter kits templates and notebooks
- Lead early testing and integration of emerging AI frameworks
- Optimize model inference for production at scale
- Partner with strategic customers to manage migrations
- Produce demo kits and deployment guides
- Provide technical guidance to CTOs and lead architects
- Ship AI application builds on GPU infrastructure
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Benchmarking | CUDA | CUDA Interconnect | Continuous batching | CrewAI | Databases | GPU Optimization | GPU Utilization | GPU utilization tuning | Go | Inference | Infrastructure as Code | K8s | Kubernetes | LLM serving | Langgraph | Language Models | Large Language Models | Llamaindex | Machine Learning | Messaging Systems | Microservices | Modular | Multimodal Models | NVLink | OpenAI Triton | Pulumi | Python | Quantization | ROCm | Ray Serve | RoCE | SGLang | TensorRT | Terraform | VLLM | “as-code”
Education
N/A
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