About the Role

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 accurate feedforward and feedback controllers.
• 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 scenarios.
• 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.

Qualifications

• 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.
• Excellent communication skills and ability to collaborate across multi-disciplinary teams.
• Willingness to support production operations through an on-call rotation.

Nice to Have

• Graduate-level coursework or research in system identification, optimal estimation, or adaptive control.
• Experience with nonlinear system identification techniques (e.g., extended Kalman filters, particle filters, neural-network-based model learning).
• Familiarity with physics simulators (MuJoCo, Drake, Isaac Sim) and sim-to-real transfer, including using identified parameters to calibrate simulation environments.
• Experience with real-time embedded system development, RTOS, or bare-metal firmware.
• Exposure to automation environments such as warehousing, manufacturing, or logistics.
• Experience with safety-critical systems.
• Familiarity with ROS/ROS 2 and standard robotics middleware.
• Experience building data pipelines for collecting, storing, and analyzing robot telemetry at scale.

Compensation & Benefits