Staff Forward Deployed Engineer

🕒 May 8

🏄 California – Remote

🏄 California – Remote

💵 $195k - $239k / year

⏰ Full Time

🔴 Lead

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DigitalOcean

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

☁️ SaaS

SaaS • Cloud Computing

DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.

📋 Description

• Partner with strategic AI-Native customers to manage migrations and build production-ready PoCs • Develop scalable tooling and migration planners for AI workloads • Create AI starter kits and solution templates • Act as a technical voice for product development feedback • Lead early testing of new AI frameworks to enhance developer experience

🎯 Requirements

• Significant experience in the AI/ML lifecycle • Strong knowledge of large language model architectures • Proficient in modern GPU families and software stacks • Expertise in Kubernetes and distributed systems • Experience with distributed inference serving frameworks • Strong production coding skills in Python or Go • Proven ability to benchmark AI infrastructure

🏖️ Benefits

• Competitive array of benefits, including health and wellness programs • Employee Assistance Program • Flexible time off policy • Reimbursement for relevant conferences, training, and education • Access to LinkedIn Learning courses • Bonus eligibility based on performance • Equity compensation including grants and stock purchase options