Calibration and Localization Engineer

Humble Robotics • San Francisco, CA

1d

About The Position

We're looking for an engineer to own the spatial foundations of our autonomy stack: how our sensors relate to each other and to the vehicle, and how that information is fused into a continuous, trustworthy estimate of where the vehicle is. The environments our trucks operate in, including port terminals, container yards, warehouses, and the corridors that connect them, all present unique challenges to both. This is a role for someone who thinks about sensor geometry and state estimation as facets of the same problem.

Requirements

• BS, MS, or PhD in Robotics, Computer Science, or a related field — or equivalent industry experience
• Strong foundation in the geometry, state estimation, and optimization methods: nonlinear optimization, Kalman filtering, factor graphs, sensor modeling, and similar
• Hands-on experience contributing to production-grade calibration and/or localization systems
• Proficiency in Python and Rust for developing algorithms and the tooling around them
• Comfortable reasoning about uncertainty — both characterizing outputs and tracing propagation to downstream systems
• Eligible to work in the United States

Nice To Haves

• Experience with online or continuous calibration, where calibration updates feed live into localization
• Experience building evaluation frameworks at fleet scale, outside controlled lab environments
• Familiarity with the failure modes of INS/GNSS in challenging environments, and techniques for handling them
• Comfort with modern build and dev environments (Bazel, monorepos, dev containers, or similar)
• Comfort operating as an early team member — high ownership, low ego, fast iteration

Responsibilities

• Lead the extrinsic calibration of our sensor suite and the localization algorithms that consume its outputs, ensuring both are robust, well-characterized, and evolve together
• Develop evaluation frameworks and metrics that let us measure calibration and localization quality honestly across fleet data
• Debug failures in real-world logs and translate findings into algorithmic improvements
• Collaborate with Autonomy, vehicle software, fleet operations, and data teams to tighten the loop between these foundational systems and their downstream consumers
• Contribute to the broader shape of how Humble approaches sensor geometry and state estimation as the team and fleet grow

Benefits

• base salary + benefits + equity compensation

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level