Staff Software Engineer, Infrastructure Architecture - AI/ML

We want people who are passionate about designing and operating secure systems at scale.

We are looking for someone passionate about delivering a world class GPU experience for our developer cloud. If you’re an open source advocate familiar with our stack, who enjoys working remotely and is excited about our mission, this role is for you!

At DigitalOcean, we believe in: Creating simple, yet powerful, foundations (with 💕) from which our community can build. The Infrastructure Fleet Organization delivers on this mission by building performant, reliable, modern, efficient, and secure platform foundations for all DigitalOcean products.

Our Stack: C/C++, Python, Go, Linux, libvirt, KVM, QEMU, CEPH

Our Tools: AWX, Chef, Elasticsearch, Git, Github Actions, GSuite, Jira, Nomad, Slack, Victoria Metrics

Our Team: The person filling this position will report to the Sr. Engineering Director of the Infrastructure Fleet Organization (Infra::Fleet). Infra::Fleet is currently composed of 7 teams and is made up of 60 diverse engineers located across the US, Canada, and Europe.  

What You’ll Be Doing:

• 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

What We’ll Expect From You:

• 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 (like mlcomms, kernel, and QEMU)
• Experience driving technical strategy for a company or larger organization
• Strong collaborator and consensus builder. Author and review design documentation
• 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

Why You’ll Like Working for DigitalOcean:

• We are proud to work here. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud computing so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. 
• We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
• We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support your overall well-being, from one-time work from home stipend to wellness allowance to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
• We reward our employees. The salary range for this position is between $282,000 - $328,800 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. 
• We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

*This is a remote role

#LI-Remote