Controls Engineer

Posted 18 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
100K-1M Annually
Senior level
Information Technology • Robotics • Software
The Role
Develop and optimize control systems for humanoid robots, bridging AI action models with physical execution, ensuring reliability and efficiency in various applications.
Summary Generated by Built In
Foundation


 About Us

Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.

Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.

We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite — it's your talent and determination that truly count.

We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work.

All positions are based in San Francisco.


Our Culture


We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here https://foundation.bot/culture.


Who should join:

  • You like working in person with a team in San Francisco.
  • You deeply believe that this is the most important mission for humanity and needs to happen yesterday.
  • You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.
  • You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to “fix” it.
  • You don't need someone to motivate you; you get things done.

Why are We Hiring for this Role

  • To develop and optimize the control systems that enable precise, smooth, and safe motion in our humanoid robots.
  • To bridge the gap between AI-generated action models (e.g., RL policies) and the robot’s physical execution by designing robust motion planning, state estimation, and lower-level control architectures.
  • To create full-body controllers that seamlessly integrate inputs from action models with real-time feedback, ensuring high performance in complex environments.
  • To ensure our robots can execute tasks reliably, from manipulation to locomotion, while maintaining stability and efficiency.
  • To scale our controls stack for deployment across various robot configurations, supporting a wide range of customer applications.

What Kind of Person are We looking for  

  • Strong background in control theory, including linear and nonlinear systems, feedback control, stability analysis, and optimal control methods.
  • Proficiency in state estimation techniques, such as Kalman filters, particle filters, or sensor fusion for estimating robot pose, velocity, and dynamics from noisy sensor data (e.g., IMUs, encoders, vision).
  • Experience with low-level control strategies, including PID controllers, torque control, velocity control, and position control for actuators and joints.
  • Skilled in developing full-body controllers that integrate multiple degrees of freedom (DoF), handling kinematics, dynamics, and inverse kinematics.
  • Ability to translate high-level action outputs (e.g., from AI or RL models) into low-level commands such as joint angles, torques, velocities, and forces.
  • Familiarity with optimization techniques for trajectory planning, model predictive control (MPC), and real-time feedback integration.
  • Experience with reinforcement learning (RL) for control policies is a strong plus.
  • Proficiency in programming languages such as C++ and Python.
  • Experience with robotics middleware (e.g., ROS2) and real-time control systems.
  • Strong understanding of numerical methods and computational algorithms for control.
  • Ability to analyze complex motion requirements and design control algorithms to meet them.
  • Comfortable troubleshooting control issues in a physical robot and iterating quickly to improve performance.
  • Comfortable working with hardware-in-the-loop systems and integrating controls with physical robots.
  • Collaborates effectively with AI researchers, mechanical engineers, and electrical engineers to ensure seamless system integration.
  • Minimum of 5 years of experience in controls engineering, motion planning, or a similar field; experience from humanoids is ideal but not required. Transferable skills from drones, autonomous vehicles, or industrial robotics are welcome if they include state estimation and low-level controls.
  • Bachelor’s or Master’s degree in Robotics, Mechanical Engineering, Computer Science, or a related field. A PhD is a plus.
  • Experience with real-time operating systems and control frameworks is highly desirable.  

  


Benefits


We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits.
Salary


The annual compensation is expected to be between $100,000 - $1,000,000. Exact compensation may vary based on skills, experience, and location.


Top Skills

C++
Python
Ros2
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, California
58 Employees

What We Do

Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.

Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.

Similar Jobs

Anduril Logo Anduril

Controls Engineer

Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
In-Office
Costa Mesa, CA, USA
6000 Employees
170K-213K Annually

Anduril Logo Anduril

Controls Engineer

Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
In-Office
Costa Mesa, CA, USA
6000 Employees
146K-194K Annually

General Motors Logo General Motors

Staff Software Engineer

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Hybrid
2 Locations
165000 Employees
195K-240K Annually

Horizon Surgical Systems, Inc. Logo Horizon Surgical Systems, Inc.

Controls Engineer

Artificial Intelligence • Hardware • Healthtech • Machine Learning • Robotics • Software • Automation
In-Office
Los Angeles, CA, USA
54 Employees

Similar Companies Hiring

Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account