Senior Forward Deployed Engineer (AI/ML)
Tasks
- Automate deployment with infrastructure-as-code
- Benchmark AI infrastructure
- Build AI application deployments
- Build GenAI agent starter kits
- Build migration planners
- Build production ready proof of concepts
- Collaborate on delivery frameworks at scale
- Create migration scripts
- Create solution templates
- Develop notebooks
- Drive AI adoption for production workloads
- Embed with strategic customers
- Integrate inference serving frameworks
- Lead technical migrations
- Optimize GPU performance
- Produce demo kits and deployment guides
- Surface architectural gaps for product roadmap
- Tune GPU utilization
- Validate emerging AI frameworks
Perks/Benefits
- Conference reimbursement
- Employee assistance program
- Flexible time off
- LinkedIn Learning access
- Local Employee Meetups
- Remote work
- Training reimbursement
Skills/Tech-stack
Benchmarking | CUDA | Continuous batching | CrewAI | Databases | GPU Utilization | GPU utilization tuning | Go | Infrastructure as Code | Kubernetes | LLM architectures | Langgraph | Llamaindex | Messaging Systems | Microservices | Modular | NVLink | OpenAI Triton | Pulumi | Python | Quantization | ROCm | Ray Serve | RoCE | SGLang | TensorRT | Terraform | VLLM | XGMI | “as-code”
Education
N/A
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