Embodied AI Robotics Engineer — Production-Ready Autonomy

Caterpillar Inc.; San Francisco (CA); On-site; USD 107,000 - 174,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Tuition Reimbursement

Paid time off

Incentive bonus

Relocation assistance

Job summary

Caterpillar Inc. in San Francisco, CA is seeking an Embodied AI Engineer to help build the next generation of intelligent robotic systems.

You will design, develop, test, validate, and deploy AI and autonomy capabilities for production machines, collaborating with software, hardware, infrastructure, research, validation, safety, and product teams. The role focuses on perception, planning, learning, reasoning, and controls, with an emphasis on deploying scalable AI across real jobsites.

Qualifications

• Bachelor's degree in CS, robotics, AI, ML, EE, or related field.
• Experience developing software, robotics, AI, or autonomous systems.
• Strong fundamentals in Python, C++, or similar languages.

Responsibilities

• Develop and deploy AI and autonomy capabilities for robotic systems.
• Integrate perception, planning, learning, reasoning, and controls.
• Collaborate with cross-functional teams to deliver production solutions.
• Design, test, and validate algorithms and system components.
• Conduct experiments, benchmarks, and on-machine evaluations.

Skills

Software product design

Artificial intelligence

Programming

Education

Bachelor's degree in Computer Science, Robotics, AI, ML, Electrical Engineering, or related field

Tools

ROS/ROS2

Python

C++

Edge deployment tooling

Job description

Caterpillar Inc. in San Francisco, CA is seeking an Embodied AI Engineer to help build the next generation of intelligent robotic systems.

You will design, develop, test, validate, and deploy AI and autonomy capabilities for production machines, collaborating with software, hardware, infrastructure, research, validation, safety, and product teams. The role focuses on perception, planning, learning, reasoning, and controls, with an emphasis on deploying scalable AI across real jobsites.