Staff Forward Deployed Engineer, AI/ML

Digital Ocean
San Francisco
Workplace: RemoteFull timeFunction: Software EngineeringSkills: ["Communication","Collaboration","Problem-solving","Leadership"]

Join DigitalOcean as a Staff Forward Deployed Engineer embedded with strategic AI-native customers to accelerate AI adoption on the DigitalOcean AI Cloud. You’ll lead migrations, build production-ready PoCs on GPU infrastructure, create scalable tooling and AI starter kits, influence the product roadmap, validate new AI frameworks, and enable partners at scale while delivering field-tested assets and measurable impact on time-to-inference.

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FursaFursa
Digital Ocean
Digital Ocean
3 months ago

Staff Forward Deployed Engineer, AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Join DigitalOcean as a Staff Forward Deployed Engineer embedded with strategic AI-native customers to accelerate AI adoption on the DigitalOcean AI Cloud. You’ll lead migrations, build production-ready PoCs on GPU infrastructure, create scalable tooling and AI starter kits, influence the product roadmap, validate new AI frameworks, and enable partners at scale while delivering field-tested assets and measurable impact on time-to-inference.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Embed with ANEs to manage migrations and build hands-on applications on GPU infrastructure.
  • •Build scalable assets and tooling including migration planners, benchmarking frameworks, and deployment automation scripts.
  • •Develop AI starter kits and notebooks tailored to business needs (e.g., LangGraph, CrewAI).
  • •Drive the product roadmap by surfacing architectural gaps and transitioning field tools into native features.
  • •Lead the validation of new AI frameworks to ensure developer satisfaction on DigitalOcean.

Key Requirements

  • •Embedded with strategic ANEs to manage complex migrations and build production-ready PoCs on GPU infrastructure.
  • •Build migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to standardize AI workloads across DigitalOcean.
  • •Develop pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) for common business needs.
  • •Influence the product roadmap by surfacing architectural gaps and transitioning field tools into native features.
  • •Lead early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
Experience:AI/MLCloudGPU
Skills:CommunicationCollaborationProblem-solvingLeadership
Languages:English
Tech Stack:PythonGoTerraformPulumiKubernetesCUDAROCmTensorRTOpenAI TritonLangGraphCrewAILlamaIndexLlm-dNVIDIA DynamoRay ServeNVlinkXGMIRoCE

Company Brief

Digital Ocean
Provides cloud infrastructure and developer-focused cloud services including scalable droplets, managed databases, Kubernetes, object storage, and networking to simplify deploying and managing applications for developers and small-to-medium businesses.
Industry: Cloud Computing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 250M to 500M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2011
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn