Contract Robotics Engineer: Legged Locomotion Boulder/Denver, CO (remote-friendly) · Contract →

Synteric Robotics

Boulder (CO)

Hybrid

USD 90,000 - 130,000

Full time

5 days ago
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Job summary

Synteric Robotics in Boulder/Denver, CO is seeking a Contract Robotics Engineer to own the gait of our hexapod and push from basic walking to a robust controller that handles uneven crawl-space terrain.

You will collaborate with a CU Boulder robotics lab and a small engineering team, work on milestones, and bring real-world hardware experience from simulation to hardware.

Qualifications

  • Built a walking controller for a real legged robot (not just in simulation).
  • Comfortable with physics simulators (MuJoCo, Isaac, PyBullet) and Python.

Responsibilities

  • Own the gait for the hexapod and advance from basic walking to a robust controller for real crawl-space terrain.
  • Collaborate with a CU Boulder robotics lab and a small engineering team handling sensors, mapping and simulation models.
  • Work in milestone-based development with milestones defined collaboratively.

Skills

Walking controller on real leggedrobot
Reinforcement learning for locomotion
Hardware integration

Tools

MuJoCo
Isaac
PyBullet
Python

Job description

Contract Robotics Engineer: Legged Locomotion

Synteric Robotics · Boulder/Denver, CO (remote-friendly) · Contract

About us

Synteric Robotics is a CU Boulder spinout building small, autonomous legged robots that go where people can’t: crawl spaces, attics and other tight, dirty spaces. Our six-legged prototype is walking, and restoration companies are lined up to field-test it. Now we need it to walk well.

The role

You’ll own the gait. You’ll take our hexapod from basic walking to a robust controller that handles real crawl-space terrain: uneven dirt, rocks, concrete footers and loose plastic sheeting. You’ll work alongside a CU Boulder robotics lab and a small engineering team handling sensors, mapping and the simulation model. Work is milestone-based, and we’ll define the milestones together.

What we’re looking for
  • You’ve built a walking controller and run it on a real legged robot, not just in simulation. It can be learned or model-based.
  • You’re comfortable in a physics simulator (MuJoCo, Isaac, PyBullet or similar) and with Python.
Nice to have
  • Reinforcement learning for locomotion
  • Experience getting simulation results to hold up on hardware
  • Multi-legged robots (quadruped counts)
  • Hobby- or servo-grade actuators like Dynamixel
Wish list
  • Rough-terrain or “blind” (no-camera) walking
  • Deploying policies on NVIDIA Jetson or other edge hardware
  • Startup or contract experience
  • Based in Colorado
Details
  • Contract, 40 hours/week, starting November 2026
  • Grad students, postdocs and recent grads are welcome
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