Software Engineer, Infrastructure

About the role

About Niantic Spatial

AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.

That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.

In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.

Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.

About the Role

You’ll join a small infrastructure team with broad, shared ownership — the engineers who keep Niantic Spatial running. The team covers the cloud platform, the developer tooling every engineer depends on, and the edge services our customers’ requests pass through. You’ll work across SRE, infrastructure, and developer platform alongside teammates who know the stack well, and you’ll grow into owning parts of it yourself. Because every engineer here builds on what this team provides, your work will also shape how the whole engineering org builds, ships, and operates.

What You'll Do

- Cloud and SRE: Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives.

- Developer Platform: Help run our source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely.

- Production Operations: Share on-call, take part in incident response and follow-up, and automate away repetitive operational work.

- Edge and Delivery: Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team.

- Compute and GPU Management: Help provision and monitor compute and GPU capacity across teams.

- AI-Assisted Operations: Use AI tools to help build, automate, and maintain our infrastructure, and help shape how the team uses them.

What You'll Bring

- Years of Experience: 3+ years in infrastructure, SRE, DevOps, or platform engineering.

- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

- Infrastructure as Code: Experience managing infrastructure as code with tools such as Terraform, Pulumi, or similar.