A natural match if you have experience in hardware and software validation for robotics systems and are pursuing a graduate degree in Electrical Engineering.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Figure AI via Greenhouse
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
We are looking for a Validation Engineering Intern for Winter 2027 to support the design, automation, and execution of system-level validation across our humanoid platform. This internship is designed for students in their final year of an undergraduate or master’s program, as well as recent graduates who are on track to complete their degree by the end of 2026, or the following year.
Responsibilities:
Architect hardware and software solutions for validating humanoid subsystems (actuators, batteries, cameras, sensors).
Write Python scripts to automate validation and regression testing.
Contribute to the development of a CI/CD pipeline for hardware/firmware/software integration.
Debug and resolve software regressions and hardware issues in collaboration with cross-functional teams.
Requirements:
Graduate student or recent graduate in Electrical Engineering or related field.
Minimum 12-week internship, 1 to 2 terms preferred.
Strong fundamentals in electrical engineering.
Proficiency with Python or a similar programming language.
Experience with Git and version control workflows.
Familiarity with microcontrollers and embedded systems.
Bonus Qualifications:
Experience with firmware development in C.
Exposure to PCB design and troubleshooting.
Hands-on work with sensors, motors, or electromechanical systems.
The US base salary range for this full-time position is between $40 - $45/hr.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Source: Figure AI careers (Greenhouse)