AI Robotic Arm Trajectory Optimization Engineer

Daeva Tech

Remote · $160k – $200k / year · Full-time · Posted 2 months ago

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

About the role

PyTorch, reinforcement learning, and real factory floor data are the core of what we build. If you've ever wanted your models to control physical hardware instead of just predicting a label, this role is for you. Our robotic arms handle high-precision assembly tasks across a dozen production lines, and every millisecond of wasted motion costs real money. You'll design trajectory optimization policies that reduce cycle time while keeping torque and collision constraints intact, working directly with our controls engineering team on the plant floor.

Fully remote.

Responsibilities

Develop reinforcement learning policies for robotic arm trajectory optimization
Simulate and validate motion plans before deployment to physical hardware
Collaborate with controls engineers to integrate policies into the PLC stack
Monitor live trajectory performance and retrain policies as line configurations change

Requirements

Deep experience with reinforcement learning applied to robotics or control systems
Strong PyTorch and simulation environment skills (MuJoCo, Isaac Gym, or similar)
Familiarity with containerized deployment on edge compute
Comfortable working alongside mechanical and controls engineering teams