Staff Forward Deployed Engineer
Tasks
- Benchmark AI workloads
- Build AI applications on GPU infrastructure
- Build deployment automation scripts
- Build production ready proof of concepts
- Convert field tools into product features
- Create demo kits and deployment guides
- Create solution templates and notebooks
- Create tools and migration scripts
- Develop AI starter kits
- Embed with strategic customers
- Integrate AI frameworks for developer experience
- Lead testing of emerging AI frameworks
- Manage complex AI migrations
- Optimize model performance
- Provide technical roadmap feedback
Perks/Benefits
- Conference reimbursement
- Employee assistance program
- Employee stock purchase program
- Flexible time off
- LinkedIn Learning
- Local Employee Meetups
- Remote work
- Training reimbursement
Skills/Tech-stack
Artificial Intelligence | Benchmarking | CUDA | Continuous batching | CrewAI | Databases | GPU Utilization | GPU utilization tuning | Go | Inference Engines | Infrastructure as Code | K8s | Kubernetes | Langgraph | Language Models | Large Language Models | Llamaindex | Machine Learning | Messaging Systems | Microservices | Modular | OpenAI Triton | Pulumi | Python | Quantization | ROCm | Ray Serve | SGLang | TensorRT | Terraform | VLLM | “as-code”
Education
N/A
Regions
Countries
States
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