Robotics Engineer – Autonomous excavation

We recognize that excellent candidates come from diverse backgrounds with various combinations of skills. If you meet most of the core qualifications below, we highly encourage you to apply.

Core qualifications

2–5 years industry experience developing Reinforcement learning systems for control and/or planning and deploying them on real robots with a customer. If you only have experience with simulation, you’re most likely not a good fit for this position.

Experience with GPU accelerated simulation environments (e.g. IsaacSim/IsaacLab, CARLA, MuJoCo)

Strong Python skills and experience with PyTorch or similar libraries

Proficiency in C++

Comfortable debugging real-world system behavior

Ability and willingness to travel as required by business projects.

Great-to-Have Skills & Experience

Experience with hydraulic machinery

Experience with supervised learning or imitation learning

Research experience in reinforcement learning

Experience deploying robotic systems at scale (e.g. hundreds of units)

Familiarity with ROS or similar robotics frameworks

Experience with feature-flagged deployments, staged rollouts, or long-lived platforms

Experience with data curation for ML applications

Experience guiding, mentoring, or leading junior colleagues, students, or project teams.

Familiarity with or interest in utilizing AI coding tools.

This Role is a Great Fit If

You are passionate about building systems that work reliably in the real world

You want to help build a long-lived excavation planning and control system intended to scale and positively impact the entire construction industry.

You are comfortable working with the realities of imperfect data and noisy measurements.

You have a keen interest in bridging the sim2real gap and understanding the differences between simulation and physical environments.

You are excited to help drive technical direction in a growing team transitioning from prototyping to the product stage.

You value a collaborative team culture rooted in thoughtful design, creative thinking, mutual respect, and pragmatism.