Robotics Engineer - Mid Level - LA Area (Onsite)

Propel; California; In loco; USD 90.000 - 140.000; Tempo pieno

Descrizione del lavoro

Propel in Los Angeles is seeking an early-career robotics engineer to own precise and reliable robot motion across trajectory planning, control algorithms, 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, with real ownership and growth across controls, motion planning and system integration.

Competenze

• BS in Robotics, Control Systems or related field.
• 2+ years hands-on robotics or motion-control experience.
• Strong programming in C++ and/or Python for robotics software.
• Experience with ROS/ROS 2 and robotics middleware.
• Familiarity with sensors, encoders and real-time control.

Mansioni

• Own precise robot motion across trajectory planning and control loops.
• Design and tune kinematics, dynamics, and safety mechanisms.
• Integrate perception and sensor feedback into closed-loop motion.
• Collaborate with perception, AI/ML and software teams to deliver production-ready systems.

Conoscenze

Robot kinematics

Motion control

C++/Python

Real-time systems

Sensor integration

Debugging

System integration

Formazione

BS in Robotics or Controls

Strumenti

ROS/ROS 2

Gazebo/Isaac Sim

MoveIt

Descrizione del lavoro

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.

We are very keen to hear from candidates with Robotic Arm Experience!

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.

About You

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:

(not all required of course!)

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.