AI Robotics Software Engineer for Industrial Automation

General Motors Company; United States; On-site; USD 153,000 - 234,000; Full time

Benefits offered by this job

Health benefits

GM Total Rewards

Vehicle discounts

Job summary

General Motors Company in Mountain View, CA seeks a Senior Robotics Software Engineer focused on AI-enabled manipulation and industrial automation. You will design, develop, and deploy robotics software spanning perception, motion planning, AI inference, and hardware integration.

Responsibilities include building perception pipelines, integrating AI policies, and delivering robust, production-grade systems. Collaboration with ML, controls, and manufacturing teams is essential.

Qualifications

• Master’s degree in a technical field related to robotics or AI.
• 2+ years developing robotic software with manipulation, perception, or automation.
• Strong Python, C++, and ROS 2 development skills.
• Experience with AI/ML workflows for robotic perception and manipulation.
• Experience debugging complex robotic systems across software and hardware.

Responsibilities

• Design and deploy robotic applications for industrial automation and manipulation.
• Build and integrate perception, planning, and control modules.
• Develop AI-enabled perception and learned manipulation policies.
• Validate, deploy, and maintain robotics software in production environments.
• Collaborate with cross-disciplinary teams to transition from simulation to hardware.

Skills

Python

C++

ROS 2

AI/ML workflows

Robotics perception

Motion planning

System debugging

Education

Master’s degree in Computer Science, Robotics, Mechanical, Electrical, or Computer Engineering, AI/ML or related field

Tools

MoveIt

Lula

RMPflow

OMPL

NVIDIA Isaac Sim

Isaac Lab

Omniverse Replicator

Job description

General Motors Company in Mountain View, CA seeks a Senior Robotics Software Engineer focused on AI-enabled manipulation and industrial automation. You will design, develop, and deploy robotics software spanning perception, motion planning, AI inference, and hardware integration.

Responsibilities include building perception pipelines, integrating AI policies, and delivering robust, production-grade systems. Collaboration with ML, controls, and manufacturing teams is essential.