Digital Ocean

2 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: 11 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: 3.8

Website LinkedIn

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Digital Ocean

2 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: 11 hours agoStatus: Live

Job Summary

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

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: 3.8

Website LinkedIn