Robotics Systems Integration Engineer

Foundation; San Francisco (CA); On-site; USD 135,000 - 160,000; Full time

Job summary

Foundation in San Francisco is seeking a skilled robotics software engineer to lead software bring-up for new robot hardware, including sensors and embedded systems.

You will integrate firmware, middleware, and control software on humanoid platforms, and develop automated test frameworks for validation. Collaboration with cross-functional teams is essential to ensure robust, high-quality robotics software across subsystems.

Qualifications

• Experience with robotics software integration and test automation is required.
• Strong programming skills in Java and Python for real-time systems.
• Familiarity with hardware-in-the-loop testing and end-of-line tests is preferred.
• Bachelor’s or Master’s degree in Robotics, Computer/Electrical Engineering or related field.

Responsibilities

• Lead and support software bring-up for new robot hardware, including sensors and actuators.
• Integrate and validate firmware, middleware, and control software on humanoid platforms.
• Develop and maintain automated test frameworks for software validation.
• Perform hardware-in-the-loop (HIL) testing for actuators and manufacturing tests.
• Design and execute functional and performance tests across locomotion, perception and manipulation subsystems.
• Collaborate with mechanical, electrical, and software teams to debug system-level issues.
• Build tools to monitor robot behavior, collect logs, and track test results.
• Document integration and testing procedures and share best practices.

Skills

Java

Python

Real-time systems

Embedded device communication

CI/CD

Git

Debugging

Humanoid/legged robots

Education

Bachelor’s or Master’s in Robotics/CE/EE

Tools

EtherCat

CAN

I2C

SPI

UART

Job description

Foundation in San Francisco is seeking a skilled robotics software engineer to lead software bring-up for new robot hardware, including sensors and embedded systems.

You will integrate firmware, middleware, and control software on humanoid platforms, and develop automated test frameworks for validation. Collaboration with cross-functional teams is essential to ensure robust, high-quality robotics software across subsystems.