Robotics Software Engineer

About the role

We’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries.

Responsibilities

• Build motion and trajectory planning for a variety of task goals — from patterned and adaptive, sensor-driven motions to resource-aware sequencing that coordinates multiple robots working the same part.
• Develop kinematics, reachability, and motion planning — inverse kinematics and trajectory planning for robotic manipulators — and validate plans so motion is collision-free and executable.
• Extend our robots beyond fixed workcells to mobile platforms — localization, mapping, and navigation so a moving robot can find its work and hold position while it acts.
• Own the driver layer that connects to robot hardware — streaming motion commands to the robot controller in real time and abstracting sensors, scanners, and cameras behind clean, reliable interfaces.
• Advance the stack with learning-based methods and simulation — reinforcement learning, learned planners, and sim-to-real training, alongside classical approaches.

Requirements

• A Bachelor's in Computer Science, Robotics, Electrical Engineering, or Mathematics — or equivalent experience.
• 2–4 years building robotics software in modern C++ (Python a strong plus).
• Hands-on experience with real-time robotics, motion control, or controls software — you've built software that drives physical hardware.
• Comfortable with multithreading, concurrency, and debugging systems-level behavior.
• Familiar with solid engineering practice — some mix of TDD, unit testing, and CI/CD.

Qualifications

• Bonus points for experience with learning-based methods or robot simulation (RL, imitation learning, sim-to-real), SLAM and navigation, or ROS.

Skills

• Modern C++ programming skills.
• Experience with real-time robotics, motion control, or controls software.
• Knowledge of Linux and Git.
• Understanding of robotics algorithms and control theory.
• Experience with reinforcement learning, learned planners, and sim-to-real.
• Experience with SLAM and navigation.
• Experience with ROS.

Benefits

• Daily free lunch to keep you fueled and connected with the team.
• Flexible PTO so you can take the time you need, when you need it.
• Comprehensive medical, dental, and vision coverage.
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total).
• 401(k) retirement plan through Empower.

Pay

Competitive salary based on experience.

Schedule

Full-time, remote position.