Robotics Engineer – Control and Software
Join our elite engineering team as a Robotics Engineer to architect, test, and deploy cutting‑edge robotic arms and bimanual systems powered by our patent‑pending groundbreaking AI technology. You will pioneer adaptive manipulation for real‑world factories, bridging AI policies with hardware to achieve breakthrough performance in contact‑rich tasks, shaping the future of intelligent robotics at the world's leading embodied AI company.
About Devol Robots
Pioneering physics‑aware embodied AI—revolutionary technology enabling robots to understand, feel, and master force, contact, and physical interactions. Deploying globally in Singapore, China, USA to transform robotics industry forever.
Your Role
- Develop, design and scale advanced control algorithms (force control, task‑space MPC, RNEA dynamics) for single / bimanual robotic arms enabling adaptive grasping, assembly, and disturbance recovery.
- Test & validate our proprietary AI policies on our in‑house robotics systems (bimanual arms, dexterous hands / grippers, force / vision sensors) achieving high success rate in robotic manipulation.
- Integrate full robotic systems on‑site (factories, labs), calibrate control, optimize cycle times, and troubleshoot for 24 / 7 production uptime.
- Collect high‑fidelity datasets : capture force / torque, vision data from real deployments to fuel AI model refinement and lifelong learning.
- Design experiments in MuJoCo / Isaac Lab, transfer our AI policies to hardware with minimal performance gap.
- Integrate AI models directly to control layer for real‑time (
- Implement ISO‑relevant compliance, emergency stops, and collision avoidance for human‑robot collaboration.
- Collaborate with core team members on milestones; document architecture for global scaling.
Qualifications
BS / MS in Robotics, Mechatronics, Mechanical, Electrical Engineering, or related field.3–5 years experience in robotic arm integration, real‑time control, industrial deployments.Expertise in C++ / C / Python; kinematics / dynamics (FK / IK, RNEA); control theory (PID / MPC / impedance); EtherCAT / CAN interfaces.Hardware debugging, data collection for AI, Agile sprints.Preferred
Deep robotics fundamentals : forward / inverse kinematics, dynamics modeling, trajectory generation, motion planning.Advanced control expertise : PID, impedance / admittance control, task‑space MPC, hybrid position‑force controllers, controller tuning.Sensor integration : force / torque, visual‑servoing, vision‑IMU fusion for real‑time state estimation.Bimanual coordination : dual‑arm synchronization, hand‑eye calibration, collaborative manipulation.Hardware mastery : robotics arm and actuators, EtherCAT / CAN bus, real‑time Linux.Industrial automation : pick‑place optimization, cycle time reduction in manufacturing.Why Join Us?
Build paradigm‑shifting technology : set global standards for physics‑aware robotics.Deploy in real factories worldwide, seeing systems transform industries—beyond simulations.World‑class team : work with CTO + AI pioneers solving unsolved physical interaction challenges.Global impact : Power adaptive robots across Asia, USA, Europe.Career‑defining opportunity : patents, publications, leadership in embodied AI revolution.This is your once‑in‑a‑generation chance to pioneer how robots master the physical world.
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