We are looking to recruit an exceptional Infrastructure Engineer to own and build the backend systems that power machine learning at Maven Robotics. In this role, you will design and scale the core infrastructure used by our AI and robotics teams to manage data, run compute workloads, store artifacts, monitor systems, and support rapidly growing engineering workflows.

You should be excited about distributed systems, backend services, data infrastructure, GPU compute, and high-reliability internal platforms. The ideal candidate has successfully built and operated similar systems before and can independently drive complex infrastructure projects from architecture through production operation. The underlying systems may be sophisticated, but the interfaces and workflows they expose should be reliable, intuitive, and easy for engineers to use.

In this role you will:

• Own the architecture, implementation, reliability, and evolution of Maven’s machine learning infrastructure.
• Build backend services and platforms for managing data, artifacts, jobs, logs, metadata, and compute resources across cloud and on-premise environments.
• Design scalable systems for workload orchestration, storage, observability, security, and infrastructure automation.
• Build intuitive internal tools and abstractions that make complex infrastructure easy for engineers to use.
• Lead technical and commercial discussions with cloud and ML compute providers, including capacity planning, performance, reliability, and cost.