Software Engineer, Robotics

About the role

We are building general-purpose robots capable of performing real work in real environments. As a Robotics Engineer on our Robotics team, you will work across the full stack - from low-level controls and firmware to locomotion behaviors, manipulation, and fleet deployment. This is a hands-on, cross-functional role where your work ships to physical hardware and your impact is immediate. You will collaborate closely with mechanical, electrical, firmware, and AI/ML teams and own subsystem integration end to end. At Applied Intuition, you will: Design, implement, and tune core robotics software spanning locomotion, whole-body control, and manipulation for bi-dexterous robot platforms Bring up software and hardware on new robot generations and own subsystem integration across actuators, sensors, motor controllers, and onboard compute Develop and maintain real-time control software in C++ with a strong emphasis on reliability, performance, and testability Build simulation infrastructure and validate behaviors in physics-based environments before deploying to hardware Debug failures on physical robots and analyze telemetry and log data to identify root causes and improve system robustness Contribute to tooling that scales, including fleet monitoring, behavior testing pipelines, operator interfaces, and CI/CD infrastructure Work with teleoperation and data collection systems to inform learning-based policy development We're looking for someone who has: BS or MS in Robotics, Mechanical Engineering, Computer Science, Electrical Engineering, or equivalent hands-on experience 4+ years of professional experience in robotics development, with at least some of that on physical hardware rather than purely in simulation Strong proficiency in C++ (C++14/17/20), including multithreading, memory management, and real-time systems; Python for tooling and scripting Solid robotics fundamentals: kinematics, dynamics, control theory, and state estimation Experience with embedded or low-level systems and familiarity with communication protocols such as CAN, EtherCAT, Ethernet, and serial Ability to work effectively in a Linux development environment and debug complex hardware-software interactions Comfort operating and iterating directly on robot hardware

Requirements

• Experience with bi-dexterous robots
• Familiarity with ROS/ROS2 or similar robotics middleware
• Exposure to reinforcement learning or imitation learning workflows and deploying learned policies to hardware
• Experience with physics simulators such as MuJoCo, Gazebo, or NVIDIA Isaac Sim
• Background in SLAM, path planning, or perception pipelines
• Understanding of sensor fusion across IMU, lidar, cameras, and force/torque sensors
• Prior work in an environment with rapid hardware iteration and tight design cycles

Benefits

Additional Information

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

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