ML Infrastructure Engineer

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.

What You Will Do

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.

Why It Might Be a Fit

The ideal candidate has successfully built and operated similar systems before and can independently drive complex infrastructure projects from architecture through production operation. Strong technical judgment, leadership, and communication skills, with the ability to drive decisions across teams and external partners.

Requirements

• Significant experience designing, building, and operating production backend, distributed, or compute infrastructure.
• A track record of independently owning complex infrastructure projects from architecture through deployment and ongoing operation.
• Strong programming ability in Python, Go, Rust, C++, or a similar backend or systems language.
• Experience operating GPU compute infrastructure and orchestrating distributed workloads using Kubernetes, Ray, ZenML, or similar systems.
• Experience designing and operating storage systems, observability platforms, infrastructure-as-code, and secure access controls.
• Experience managing large-scale GPU fleets or hybrid cloud and on-premise compute environments.
• Experience building internal developer platforms, CLIs, SDKs, or other self-service infrastructure tools.
• Strong technical judgment, leadership, and communication skills, with the ability to drive decisions across teams and external partners.