Autonomous Robot Motion Planning & Controls Engineer

Maven Robotics, Inc.; Santa Clara (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Maven Robotics, Inc. seeks a Motion Planning & Controls Engineer to develop software for our robot hardware, implementing planning and control algorithms for coordinated motion.

You will cover the full software stack from planning to motor torque control, interfacing with perception, simulation, and platform software to ensure high-performance robot systems. The role requires strong expertise in optimization-based planning (e.g., Model Predictive Control), multi-DOF electromechanical systems,

Qualifications

• MS or PhD in engineering, mathematics, computer science or a related discipline.
• Experience in optimization-based motion planning and control algorithms such as Model Predictive Control.
• Proficiency in Python and C++ programming with modern software practices.

Responsibilities

• Cover the entire software stack that governs robot motion, from planning to motor torque control.
• Develop optimization-based motion planning and control algorithms for overactuated systems.
• Interface with perception, simulation, and platform software to design functional architectures.
• Work across mechanical, electrical, and software domains to solve problems.
• Continuously test, measure, analyze, and improve motion quality.

Skills

Python

C++

Model Predictive Control

Optimization-based planning

Kinematics & Dynamics

Motor servo control

Software development practices

Self-starter

Education

MS or PhD in engineering, mathematics, CS or related

Tools

Robot simulation frameworks

Job description

Maven Robotics, Inc. seeks a Motion Planning & Controls Engineer to develop software for our robot hardware, implementing planning and control algorithms for coordinated motion.

You will cover the full software stack from planning to motor torque control, interfacing with perception, simulation, and platform software to ensure high-performance robot systems. The role requires strong expertise in optimization-based planning (e.g., Model Predictive Control), multi-DOF electromechanical systems,