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Full-Time

Staff Software Engineer

Infrastructure Architecture, AI/ML

Confirmed live in the last 24 hours

DigitalOcean

DigitalOcean

1,001-5,000 employees

Cloud computing services for developers

Consulting
Enterprise Software

Compensation Overview

$235k - $274kAnnually

+ Bonuses + Equity Compensation

Senior, Expert

Remote in USA

Category
Backend Engineering
Software Engineering
Required Skills
Operating Systems
Linux/Unix
Requirements
  • Experience delivering virtualized and/or bare metal GPU infrastructure
  • Understanding of AI/ML workloads and overall industry trends
  • A track record of upstream contribution and influence in relevant open source communities
  • Experience driving technical strategy for a company or larger organization
  • Strong collaborator and consensus builder
  • Experience troubleshooting, analyzing, and debugging relevant virtualization stacks (kernel, kvm, QEMU)
  • Experience as a software engineer / developer in a large scale, distributed environment
  • Experience writing secure, testable, and robust low-level code
  • Deep understanding of operating systems, virtualization, and Linux internals
  • Familiarity with related virtualization fundamentals, including networking datapath, containers, and data persistence layers
  • A critical thinker dedicated to solving problems and delivering solutions
Responsibilities
  • Work with your fellow sharks to design, develop, and optimize the next generation of virtualized GPU infrastructure
  • Work with customers and stakeholders to define and refine infrastructure requirements needed to support their AI/ML workload
  • Work with infrastructure technical leaders to define infrastructure requirements to store, move, and manipulate large datasets
  • Guide performance teams on industry standard testing methodologies and help optimize for GPU fabric throughput
  • Identify security improvements and drive review discussions with internal teams
  • Influencing a culture of engineering excellence through active engagement with DigitalOcean’s Architecture group
  • Working directly with individual engineering teams to deliver new infrastructure functions and technologies in support of DigitalOcean AI/ML products
  • Drive technical strategy that influences medium and long term roadmaps
  • 5-20% of your time is spent contributing to open source communities related to our stack and encouraging your fellow sharks to do the same

DigitalOcean provides cloud computing services with predictable pricing, robust documentation, and scalability, catering to developers, startups, and small to medium-sized businesses. The company emphasizes simplicity, community, open source, and customer support to minimize infrastructure management and drive business growth.

Company Stage

IPO

Total Funding

$1.5B

Headquarters

New York City, New York

Founded

2012

Growth & Insights
Headcount

6 month growth

↑ 6%

1 year growth

↑ 19%

2 year growth

↑ 48%

Benefits

Remote-first

Full health coverage

Wellness coverage

Flexible vacation time

Team-building & social events

401(k) plans

ESPP

Education support

Partner support

Employee giving