Senior Motion Planning and Control Engineer,
MotionalSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics & Automation, AI & Machine LearningIndustries
Requirements
Candidates must possess an MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field, along with over 5 years of experience in bipedal locomotion control, legged robotics, and dynamic systems. Expertise in model-based control techniques such as inverse dynamics, whole-body control, and model predictive control is required, alongside a strong background in kinematics, dynamics, and optimization for robotic motion. Proficiency in C++ and/or Python for real-time control implementation is essential, as well as experience with physics-based simulation tools like MuJoCo, Gazebo, or PyBullet. Familiarity with ROS, LCM, or similar middleware for robotic systems is also necessary.
Responsibilities
The Humanoid Locomotion Control Engineer will develop and implement locomotion control algorithms for bipedal walking, focusing on balance control, gait planning, and reactive adaptation. They will design and optimize real-time controllers for dynamic stability, disturbance rejection, and energy efficiency. Integration of sensor feedback for state estimation and closed-loop control is required, alongside simulating, testing, and validating walking controllers in both simulation and real-world environments. The engineer will collaborate with hardware, perception, and planning teams to enhance system performance and contribute to the development of whole-body control strategies for humanoid motion.
Skills
Control Algorithms
Bipedal Walking
Balance Control
Gait Planning
Sensor Fusion
State Estimation
Robotics
IMUs
Force/Torque Sensors
Cameras
Simulation
Real-time Control
Dynamic Stability
Disturbance Rejection
Energy Efficiency
Whole-body Control
Persona
Identity verification tools for online security
About Persona
Persona focuses on making online identity verification more user-friendly and secure. The company provides businesses with tools to confirm the identities of their users, which helps create a safer online environment. Their products include Web and iOS SDKs that allow companies to easily integrate verification processes into their platforms. These tools operate in two modes: production mode for live data and sandbox mode for testing with sample data. Persona differentiates itself from competitors by emphasizing reliability and uptime, which are critical for businesses that need real-time verification. The company's goal is to humanize the online verification process while ensuring that businesses can trust the identities of their users.
San Francisco, CaliforniaHeadquarters
2018Year Founded
$211.6MTotal Funding
SERIES_CCompany Stage
Enterprise Software, CybersecurityIndustries
201-500Employees