Remote AI Cloud Forward-Deployed Engineer

3M HEALTHCARE

San Francisco (CA)

On-site

USD 195,000 - 239,000

Full time

14 days+
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Job summary

DigitalOcean is seeking a Staff Forward Deployed Engineer to solve complex AI/ML infrastructure challenges in a fast-growing AI/ML space. You will be the technical tip of the spear for strategic ANE customers, embedded with their teams to drive production-grade AI adoption.

You will build tools, migration scripts, and AI starter kits that scale across the DigitalOcean AI Cloud ecosystem, accelerating time-to-inference in production and feeding the product roadmap with field learnings.

Qualifications

  • Experience hosting large language or multimodal models in production.
  • Deep understanding of LLM architectures and optimization techniques.
  • Expertise in Kubernetes and distributed systems.
  • Production coding skills in Python or Go.
  • Experience with AI frameworks such as vLLM, SGLang, or Modular is preferred.

Responsibilities

  • Embedded customer engineering with strategic ANEs for migrations and PoCs.
  • Build migration planners, reusable systems, benchmarking frameworks, and deployment scripts.
  • Develop AI starter kits and notebooks tailored to business needs.
  • Contribute to the product roadmap by surfacing gaps from field work.
  • Lead testing and integration of emerging AI frameworks for developer experience.
  • Co-develop delivery frameworks with partners to enable scalable deployments.
  • Create field-ready demo kits and deployment guides for product releases.

Skills

AI/ML architecture
Distributed systems
Kubernetes
Python
Go
GPU optimization

Tools

CUDA
ROCm
TensorRT
OpenAI Triton

Job description

DigitalOcean is seeking a Staff Forward Deployed Engineer to solve complex AI/ML infrastructure challenges in a fast-growing AI/ML space. You will be the technical tip of the spear for strategic ANE customers, embedded with their teams to drive production-grade AI adoption.

You will build tools, migration scripts, and AI starter kits that scale across the DigitalOcean AI Cloud ecosystem, accelerating time-to-inference in production and feeding the product roadmap with field learnings.

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