ML Robotics Engineer for Autonomous Systems (Equity)

foundational industries; San Francisco (CA); On-site; USD 180,000 - 210,000; Full time

Job summary

Foundational Industries in SF Bay Area is hiring a Machine Learning Software Engineer to design, develop, test, and deploy software for autonomous robotic systems in industrial environments.

The role focuses on motion planning, perception, and real-time control, requiring strong C++/Python skills and ROS/ROS2 experience. You’ll work across hardware, AI, and controls teams in a startup setting that values urgency and ownership.

Qualifications

• Bachelor's degree in a technical field (CS, Robotics, EE, Math)
• Minimum 3 years of software development for robotic/autonomous systems
• Proficiency in Python and C++ with ROS/ROS2 experience
• Experience integrating software with hardware components and industrial sensors

Responsibilities

• Design, implement, and maintain scalable software architectures for robotic platforms
• Develop perception pipelines including CV, depth sensing, and point cloud processing
• Implement motion planning, kinematics, and robotic control algorithms
• Integrate software with sensors, actuators, PLCs, and industrial protocols
• Build and use simulation environments to test and validate robotic behaviors
• Debug and resolve software-hardware integration issues in active environments

Skills

Python

C++

ROS/ROS2

Motion planning

Kinematics

Robotic control

Embedded systems

Debugging

Education

Bachelor's degree in CS, Robotics, EE or related

Tools

OpenCV

PCL

LiDAR tooling

Job description

Foundational Industries in SF Bay Area is hiring a Machine Learning Software Engineer to design, develop, test, and deploy software for autonomous robotic systems in industrial environments.

The role focuses on motion planning, perception, and real-time control, requiring strong C++/Python skills and ROS/ROS2 experience. You’ll work across hardware, AI, and controls teams in a startup setting that values urgency and ownership.