Senior Robotics SWE, System Identification & Modeling

Job description

Job responsibilities

• Design and execute system identification experiments for actuators, mechanisms, and full robot subsystems — motors, arms, elevators, drivetrains — fitting dynamic models via regression and curve-fitting to derive…
• Own kinematic calibration workflows: DH parameter identification, wheel radius estimation, and tool-center-point calibration to drive measurable improvements in arm accuracy and mobile base odometry.
• Build automated calibration and sys-id tooling that runs on production hardware, enabling rapid re-characterization after mechanical changes, wear, or new platform deployments.
• Lead design and implementation of robot behaviors and task-level intelligence across the full stack, integrating perception, planning, and control into reliable end-to-end execution across nominal and edge-case…
• Drive measurable improvements in autonomy quality and arm accuracy using data, operational metrics, and model validation (diagnostic plots, residual analysis, statistical benchmarks).
• Collaborate with hardware engineering on software–hardware integration for new platforms and upgrades; triage and resolve production robotics issues.
• Lead technical design reviews, drive architecture decisions for core subsystems, and mentor engineers and technicians on reliability, testing, and operational excellence.

Job requirements

• Bachelor's, Master's, or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• 5+ years of software engineering experience building production robotics systems.
• Strong foundation in dynamics, controls, and system identification — including least-squares regression, parameter estimation, state-space and transfer-function modeling, and feedforward/feedback controller design.
• Hands-on experience characterizing real electromechanical systems: motors, gearboxes, linear actuators, articulated arms, or similar mechanisms.
• Strong proficiency in at least one of the following: Rust, Python, C++.
• Proven ability to design, implement, and maintain complex, high-reliability software systems.
• Experience integrating software with sensors, actuators, and embedded systems.
• Familiarity with software best practices including testing, documentation, code reviews, and robust architectural design.