What You’ll Do
Train RL policies for high-precision manipulation in large-scale, GPU-parallel simulation.
Transfer policies from simulation to real industrial robots, using vision and force/torque sensing.
Scale from task-specific policies to generalist models that handle new parts without retraining.
Combine foundation models (VLAs, world models) with RL to solve long-horizon assembly tasks.
Deploy and evaluate policies on real robotic cells with customers, and use the results to improve the models.
Who You Are
MS or PhD in Robotics, Computer Science, or a related field.
Hands-on experience applying RL to manipulation or contact-rich control.
Experience with sim-to-real transfer and GPU-parallel simulation (e.g., Isaac Lab, MuJoCo).
Experience deploying learned policies on physical robots.
Strong Python and PyTorch or JAX skills, including training at scale.
Why You'll Love It Here
Daily free lunch to keep you fueled and connected with the team
Flexible PTO so you can take the time you need, when you need it
Comprehensive medical, dental, and vision coverage
6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
401(k) retirement plan through Empower
Generous employee referral bonuses—help us grow our team!
Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.
