Robotics Engineer

Propel Together

California

On-site

USD 90,000 - 130,000

Full time

2 days ago
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Job summary

Propel Together in Los Angeles is seeking a Robotics Engineer to own precise robot motion across trajectory planning, control, sensor feedback, simulation and real-world performance. You will work with perception, AI/ML and software engineers to turn R&D into production-ready systems and grow quickly across controls, motion planning and deployment.

Ideal candidates hold a BS in Robotics, Control Systems or a related field and have 2+ years of hands-on robotics or motion-control experience with

Qualifications

  • BS in Robotics, Control Systems or a related field.
  • 2+ years hands-on experience developing robotics or motion-control systems.

Responsibilities

  • Own precise robot motion across trajectory planning, control algorithms, sensor feedback, simulation and real-world performance.
  • Collaborate with perception, AI/ML and software engineers to translate R&D into production-ready systems.
  • Grow quickly across controls, motion planning, system integration and deployment.
  • Work in a fast-paced startup environment with ownership and cross-functional collaboration.

Skills

Robot kinematics
Motion control
C++ / Python
ROS / ROS 2
Real-time systems
Sensor integration
Debugging

Education

BS in Robotics/Control Systems or related

Tools

MoveIt or similar
Gazebo / Isaac Sim

Job description

Robotics Engineer in a fast moving start up.This is an awesome opportunity to join a fast paced start up organisation who have big plans! If you are a motivated engineer who loves to solve complex problems....please read on!!


?This is an LA based role, you will need to be based in the area or open to relocating.


The Role

You will own precise and reliable robot motion across trajectory planning, control algorithms, sensor feedback, simulation and real-world performance. Day to day, this includes building kinematic and dynamic models, tuning control loops for accuracy and repeatability, integrating motion with computer vision and sensor feedback for closed-loop behaviours, and developing safety, fault detection and recovery mechanisms. You will work closely with a cross functional team including perception, AI/ML and software engineers to turn R&D into robust, production-ready systems. It is a strong opportunity for an early-career engineer who wants to grow quickly across controls, motion planning, system integration and deployment.


Ideally you will hold a BS in Robotics, Control Systems or a similar discipline, and bring 2+ years of hands-on experience developing robotics or motion-control systems:


Core technical requirements:


  • Robot kinematics, including forward/inverse kinematics, coordinate frames, Jacobians and workspace analysis

  • Motion-control algorithms, including trajectory generation, PID control loops, velocity/acceleration control and motion profiling

  • Strong C++ and/or Python for developing and debugging robotic control software

  • ROS / ROS 2 or comparable robotics middleware

  • Robotic hardware, including servo motors, motor controllers, encoders and force/torque sensors

  • Real-time systems, including control-loop timing, latency, synchronisation, communication protocols and deterministic behaviour

  • Integrating perception and sensor feedback (cameras, force sensors) into closed-loop motion

  • Debugging and system integration across mechanical, electrical, firmware and software components


Nice to have:


  • 6+ DOF robotic arms

  • AI/ML models applied to robotics and motion control

  • Collision detection and robot safety systems

  • MoveIt or similar motion planning frameworks

  • Gazebo, Isaac Sim or other robot simulation tools

  • Force/impedance control


The Company

This is a fast-paced, innovative robotics startup building automation that works in the real world, not just the lab. Our robots are already deployed commercially and performing every day, and we are now scaling the technology further. Our engineers get real ownership, close collaboration across disciplines, and the chance to see their work running on live systems.

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