Roboticist, Robot Foundation Model

🧠 Your day-to-day

• You enjoy working hands-on with real robots and are comfortable debugging across hardware, software, and ML systems.

• You can move between research exploration and pragmatic engineering execution.

• You have strong judgement around experiment design, data quality, and model evaluation.

• You communicate clearly across research, engineering, and product teams.

• You are excited by 0→1 ownership and ambiguity in a fast-moving research environment.

🧩 What you’ll be working on

Leading the development of an offline 3D reconstruction capability that builds high-quality 3D world geometry from vehicle sensor data in dynamic scenes. The system will draw on localization and mapping, state estimation, and sensor fusion to produce offline 3D geometric reconstructions and best-estimate ego motion from heterogeneous vehicle platforms and sensor suites. The work will support internal validation, data enrichment, and model development by turning raw sensor data into reliable, quality-assessed 3D ground-truth outputs.

🙌 You should apply if you have

• Experience in robot manipulation; working with robot hardware.

• Experience with C++ and Python in robotics or ML environments.

• Strong robotics and machine learning fundamentals, with the ability to translate research into robust systems.

• Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued.

• PhD preferred; MS acceptable with strong relevant experience.

🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.