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Humanoid Robotics Engineer at Microvast
Microvast is a technology innovator that designs, develops, and manufactures lithium‑ion battery solutions. Founded in 2006 and headquartered in Stafford, TX, Microvast is renowned for its cutting‑edge cell technology and vertical integration capabilities, from core battery chemistry to battery packs.
OverviewMicrovast seeks a Humanoid Robotics Engineer to design, prototype, and validate locomotion, manipulation, and safety systems for a next‑generation humanoid platform. This hands‑on, lab‑centric role will own features end‑to‑end—from simulation and control algorithms to on‑robot bring‑up, testing, and field deployment.
Key Responsibilities- Develop whole‑body control (WBC), inverse kinematics/dynamics, gait generation, balance/recovery, and fall‑safe behaviors.
- Build sensor fusion pipelines (IMU, force/torque, encoders, depth/RGB, LiDAR) and robust state estimation.
- Plan and execute dexterous grasping, tool use, compliant/impedance control with tactile feedback.
- Architect ROS 2‑based stacks, real‑time nodes, and hardware interfaces (CAN/Ether
CAT). - Implement safety monitors, fault detection, graceful degradation; contribute to ISO 10218/13849 and ANSI/RIA R15.06 compliance.
- Specify actuators, transmissions, power, and sensors; define acceptance tests; drive rapid iteration on prototypes.
- Produce design documents, test reports, and maintain traceability across revisions.
- BS/MS/PhD in Robotics, EE, ME, CS, or related field.
- 5+ years hands‑on experience specifically in humanoid robot engineering, design, and prototyping.
- Strong C++ (14/17) and Python; proficiency with ROS 2, real‑time systems (RT‑PREEMPT/QNX), and middleware.
- Expertise in multibody dynamics, control theory (LQR/MPC/impedance), numerical optimization, and state estimation (EKF/UKF).
- Experience with Ether
CAT/CAN devices, motor control, F/T sensors, and safety‑rated I/O. - Proven on‑robot bring‑up/debugging; familiarity with oscilloscopes, loggers, DAQs, and rapid iteration in lab environments.
- Track record in legged locomotion or dexterous manipulation (publications, videos, shipped robots).
- Experience with grasp planning, tactile sensing, or anthropomorphic hand design.
- GPU acceleration (CUDA), real‑time perception, or onboard SLAM pipelines.
- ML for control/perception (imitation/RL) and sim‑to‑real domain randomization.
- Electrical fundamentals (power distribution, EMI/ESD) and actuator/transmission design.
- Safety analysis (FMEA, FMEDA), SIL/PL calculations, functional safety tool chains.
- CMake, Git, CI/CD, Docker
- Oscilloscopes, DAQs, load cells, F/T sensors, motion capture
- Terrain traversal success and fall rate reduction
- Task success for manipulation benchmarks; cycle‑time improvements
- Energy efficiency (Wh/task) and thermal margin adherence
- Reliability: MTBF, fault recovery time; regression test pass rates
- Safety incidents: zero; certification/compliance test pass rate
- On‑site prototype lab with motion‑capture arena; field trials as needed
- Occasional travel to supplier/test sites (
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