Software Engineer

DigitalOcean • Seattle, WA

9h • $100,000 - $140,000 • Hybrid

About The Position

Dive in and do the best work of your career at DigitalOcean. Journey alongside a
strong community of top talent who are relentless in their drive to build the
simplest scalable cloud. If you have a growth mindset, naturally like to think
big and bold, and are energized by the fast-paced environment of a true industry
disruptor, you’ll find your place here.  We value winning together—while
learning, having fun, and making a profound difference for the dreamers and
builders in the world. 

DigitalOcean's Agentic Inference Cloud that delivers predictable cost
efficiency, radically simple operations and high performance at scale — so teams
can focus on building AI products instead of managing infrastructure or
absorbing surprise costs. The platform combines production-ready GPU
infrastructure, a full-stack cloud, model-first inference workflows, and an
agentic experience layer to reduce operational complexity and accelerate time to
production. More than 640,000 customers trust DigitalOcean to deliver the cloud
and AI infrastructure they need to build and grow.

Dive in and start the most exciting chapter of your career at DigitalOcean.
Journey alongside a community of top talent relentless in their drive to build
the Agentic Inference Cloud. We are looking for Software Engineers to help us
build a developer-first, vertically integrated platform that simplifies the
entire AI lifecycle.

Our engineering team owns this stack end-to-end. You will work on everything
from low-level kernel and GPU optimizations to high-performance dedicated
clusters and serverless APIs. By engineering every layer of the infrastructure,
we ensure that state-of-the-art models - across LLMs, image, audio, and video -
run at peak efficiency on a global scale.

You must be currently located in and able to work 3 days per week in the
DigitalOcean office we are building in Seattle.

Requirements

• Foundational Knowledge: 1–4 years of software engineering experience with an interest in ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models), or GenAI-related concepts.
• Technical Proficiency: Solid understanding of at least one backend language (Python or Go preferred) and experience working with REST APIs.
• Problem Solving: A proactive approach to troubleshooting and a desire to build production-grade systems in a high-growth tech environment.
• Collaboration: Strong communication skills and a team-first mindset, with the ability to take feedback and apply it to code improvements.

Nice To Haves

• Tooling Curiosity: Familiarity with containerization (Docker/Kubernetes) and cloud infrastructure is a plus.

Responsibilities

• Feature Development: Write production grade Go and Python to solve the "unit economics" of AI- optimizing how we monetize a single GPU across multiple abstraction layers.
• Performance Engineering: Implement and experiment with prefix caching, batch inferencing, and model quantization to reduce TCO for our customers.
• Model Integration: Assist in the development of model catalogs and automated benchmarking tools to help customers move their models from experimentation to production.
• Operational Excellence: Help manage a global GPU footprint, ensuring 99.9% uptime for mission-critical production workloads.
• Continuous Learning: Collaborate with senior engineers to learn complex system architectures and contribute to high-density GPU orchestration.

Benefits

• 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 you from our Employee Assistance Program to Local Employee Meetups 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 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed