Controls Engineer

Human Computer Lab

• $90K — $110K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Masters/PhD or equivalent experience in robotics, mechatronics, electrical or mechanical engineering.
  • Hands-on experience tuning control systems on real robotic hardware.
  • Fluency in C++ and/or Python for robotics or embedded control work.
  • Experience with ROS or ROS2 and real-time robotics software stacks.
  • Proficiency in CAD tools like SolidWorks or Onshape.
  • Strong hardware debugging skills using tools like oscilloscopes.
  • Experience with building URDF models and simulators like Gazebo or MuJoCo.

Responsibilities

  • Design and tune control systems for actuators including motion control and dynamic response.
  • Integrate sensors and actuators into reliable mechatronic assemblies.
  • Develop control algorithms in C++ or Python from simulation to hardware deployment.
  • Build and maintain simulation environments that align with physical platforms.
  • Diagnose real-world control issues like instability and sensor noise.
  • Collaborate with other engineers on actuator selection and motion fine-tuning.
  • Develop motion primitives and expressive robot behaviors.

Benefits

  • Opportunity for high ownership in your role at a startup.
  • Collaborative environment working closely with the CEO and founding team.
  • Engage in innovative robotics that combines hardware and software.
  • Chance to contribute to the DNA of a growing company focused on high standards.
Full Job Description
What to expect

We're looking for a controls/mechatronics engineer who wants to own the systems that make LeLamp move, respond, and feel alive. You'll work at the intersection of hardware and software, designing and tuning control systems, integrating actuators and sensors, and debugging real hardware at the bench to translate intent into expressive motion. This is a high-ownership role working closely with the CEO and founding team across the full mechatronic stack, from low-level motor control and sensor fusion through to the higher-level behaviors that make the robot feel responsive and intentional in the real world.

In this role, you will:
  • Design and tune control systems for actuated subsystems including motion control, feedback, and dynamic response.
  • Integrate actuators, sensors, encoders, and embedded electronics into reliable mechatronic assemblies.
  • Develop control algorithms in C++ and/or Python from simulation through deployment on hardware.
  • Build and maintain URDF models and simulation environments aligned with the physical platform.
  • Diagnose real-world control issues such as instability, backlash, latency, drift, and sensor noise.
  • Collaborate with animators, mechanical and electrical engineers on actuator selection, structure, sensing strategy and motion fine-tuning
  • Develop motion primitives and expressive behaviors that shape how the robot moves.
  • Maintain documentation of control architecture and tuning decisions as the system evolves.


You may be a good fit if you:
  • Have a Masters/PhD (or equivalent experience) in robotics, mechatronics, electrical engineering, mechanical engineering, or a related field.
  • Have hands-on experience tuning control systems on real robotic hardware.
  • Are fluent in C++ and/or Python for robotics or embedded control work.
  • Have experience with ROS or ROS2 and real-time robotics software stacks.
  • Are comfortable working with CAD tools such as SolidWorks or Onshape.
  • Have experience with actuators, motor drivers, encoders, and IMUs across the full signal chain.
  • Are strong at hardware debugging using tools like oscilloscopes and signal tracing.
  • Have experience building URDF models and working with simulators such as Gazebo, MuJoCo, or Isaac Sim.
  • Are comfortable working in environments where system architecture is still evolving.
  • Have experience with impedance control, torque control, or whole-body control on physical robots
  • Have experience with sensor fusion, state estimation, or Kalman filtering on hardware systems
  • Have embedded programming experience on microcontrollers or DSPs in a controls context
  • Have experience shaping expressive or character-driven robot motion


You will be a strong fit, if you:
  • Are drawn to the physical reality of robotics. You want to see the system move, not just pass a simulation.
  • Move quickly through iteration cycles and don't wait for perfect conditions to make progress.
  • Take ownership over the feel of the robot's motion, not just its correctness.
  • Work well in small, collaborative teams where controls, mechanical, and electrical are in constant conversation.
  • Care about the person on the other end, and understand that how the robot moves is a big part of how it feels to live with.

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