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 AI-Native customers to accelerate adoption of AI workloads. You’ll partner with strategic ANEs, build scalable migration scripts and AI starter kits, validate new AI frameworks, influence product roadmap, and deliver field-ready tools and demos that scale across the DigitalOcean AI Cloud.

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Embedded Customer Engineering: Partner deeply with strategic ANEs to manage migrations, build PoCs, and perform hands-on application builds on GPU infrastructure.

Pay and Benefits

Salary: USD 195,000 - 239,000 annually

Key Requirements

•Must have production coding skills in Python or Go and build high-quality tools, automation, and internal assets.

Experience:AiCloudMlInfrastructureGpu

Skills:CommunicationProblem-solvingCollaborationLeadershipPresentation

Languages:English

Tech Stack:PythonGoKubernetesTerraformPulumiCUDAROCmTensorRTOpenAI TritonLlm-dLangGraphCrewAILlamaIndex

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: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Embedded Customer Engineering: Partner deeply with strategic ANEs to manage migrations, build PoCs, and perform hands-on application builds on GPU infrastructure.

Pay and Benefits

Salary: USD 195,000 - 239,000 annually

Key Requirements

•Must have production coding skills in Python or Go and build high-quality tools, automation, and internal assets.

Experience:AiCloudMlInfrastructureGpu

Skills:CommunicationProblem-solvingCollaborationLeadershipPresentation

Languages:English

Tech Stack:PythonGoKubernetesTerraformPulumiCUDAROCmTensorRTOpenAI TritonLlm-dLangGraphCrewAILlamaIndex

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