What are the responsibilities and job description for the TeleOp Controls Engineer position at Bits to Atoms?
At Bits to Atoms, we connect mission-driven engineers, scientists, and operators with companies solving the hardest challenges in the world.
We have partnered with a well-funded stealth stage startup looking to hire a TeleOp Controls Engineer.
You can read more about the opportunity below.
About The Opportunity
Our team is reimagining how humans interact with machines through real-time, high-bandwidth control systems that extend human capability across distance and time.
We’re hiring for a Teleoperation Controls Engineer to lead the development of our low-latency control system. This includes bidirectional communication between operator and robot, joint-level torque control, haptic feedback, and simulation integration. You’ll work across simulation and hardware, ensuring the system behaves naturally and intuitively under real-world constraints.
Responsibilities
- Design and develop modern C code to support a real-time force-feedback mobile system
- Estimate teleoperator pose and intention, and translate this into robot actions using joint-space and task-space mappings
- Provide intuitive, safe, and responsive haptic feedback to the teleoperator
- Develop robust sensor fusion and state estimation pipelines using multi-sensor data
- Integrate simulation environments that mirror real-world robotic behavior, aiding rapid iteration and testing
- Collaborate across autonomy, controls, hardware, and perception teams to ensure smooth integration of the teleoperation stack
Relevant Skills
- Strong CS fundamentals, including systems programming and real-time performance optimization
- Experience implementing multi-DOF control algorithms (e.g., inverse dynamics, whole-body control, trajectory optimization)
- Deep understanding of spatial kinematics and dynamics, including joint mapping and actuation modeling
- Experience with robotic simulation environments (e.g., Isaac Sim, MuJoCo, Gazebo, custom C /Python pipelines)
- Proficiency with sensor fusion and state estimation methods (e.g., EKF, particle filters, factor graphs)
- Familiarity with haptics and low-impedance torque control
- Strong background in C and Python, especially for real-time robotics applications
Bonus Qualifications
- Prior experience with teleoperation systems or haptic interface design
- Advanced degree (Master’s or PhD) in robotics, mechanical engineering, computer science, or a related field
- Exposure to ML techniques for perception or state estimation
- Experience integrating visual odometry, IMUs, encoders, and torque sensors for pose tracking and control