This role pays less than
59%
of similar roles. Most pay
$150,000–$222,000
— the shaded band above.
At the midpoint, this role pays about
$175k
versus about
$186k
for comparable roles.
Based on 240 similar postings.
Employer
About General Motors (GM)
General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.
General Motors (GM) currently has
116 open roles
on FindRole.
Listed pay typically runs
$160,200–$245,000
across 59 roles with salary data.
The Robotics Controls Engineer joins the Local Planner Controller team to develop optimization-based planning and control software for the Super Cruise system. This role focuses on solving complex problems in trajectory optimization, vehicle dynamics, estimation, and closed-loop controls to ensure safe, comfortable vehicle behavior. The engineer will implement and refine algorithms for trajectory tracking, constraint handling, and motion execution while collaborating with cross-functional teams across perception, prediction, and localization. Key technical requirements include a strong foundation in optimal control, motion planning, and numerical optimization, alongside proficiency in C++ and Python. Candidates should possess expertise in classical and modern feedback control theory and physical system modeling. The role addresses the critical challenge of balancing kinematic feasibility and collision avoidance within advanced driver assistance systems to deliver reliable, production-quality software for real-world vehicle environments.
Integrate solutions and debug end-to-end behavior with cross-functional teams in perception, prediction, and localization.
Improve software reliability and development velocity through testing, tooling, and continuous integration.
Participate in technical reviews, code reviews, and validation efforts to ensure system safety.
What we're looking for
Master's degree or PhD in Robotics, Controls, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, or a related field.
At least 2 years of relevant experience for candidates with a Master's degree.
Strong foundation in optimal control, trajectory optimization, motion planning, or numerical optimization.
Strong understanding of classical and modern feedback control theory and techniques.
Solid understanding of vehicle dynamics, robotics dynamics, or related physical system modeling.
Proficiency in C++ and Python for research or production software development.
Demonstrated ability to translate algorithms into reliable software in a collaborative engineering environment.
Strong communication skills and the ability to work effectively across disciplines.
Remote (Mountain View, CA)14 days ago
$158,000–$241,900
C++
Python
Control Theory
Trajectory Optimization
Motion Planning
Vehicle Dynamics
ROS
Numerical Optimization
Automated Testing
safety critical systems
Simulation
AV
ADAS
Motion Planning
Trajectory Optimization
Control Theory
Vehicle Dynamics
C++
Python
ROS
Numerical Optimization
Automated Testing
safety critical systems
Simulation
Systems Engineering
Motion Planning
Trajectory Optimization
Control Theory
Vehicle Dynamics
C++
Python
ROS
Numerical Optimization
Automated Testing
safety critical systems
C++
Python
Robotics
Control Systems
Model Predictive Control
Kalman Filtering
Computer Vision
Sensor Fusion
SLAM
Hardware-in-the-Loop
CI/CD
Automation Software
State Estimation
Remote (San Jose, CA)+114 days ago
$150,000–$200,000
C++
Python
Robotics
Control Systems
Model Predictive Control
Kalman Filtering
Computer Vision
Sensor Fusion
SLAM
Hardware-in-the-loop
CI/CD
Automation Software
State Estimation