At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries.
Requirements
- Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field or equivalent experience.
- 5+ years of hands-on robot learning experience.
- Demonstrated technical leadership and mentorship.
- Deep sim-to-real expertise — domain randomisation, system identification, teacher-student distillation, sim-to-online fine-tuning.
- Full-stack robot learning — fluent across simulation construction, policy training, data collection, real-world deployment, and failure diagnosis.
- Physics-informed ML or hybrid control experience — PINNs, neural ODEs, MPC with learned dynamics, process-model-conditioned generation, or similar.
- A defensible view on visual-reasoning-centric substrates for grounded spatial / physical reasoning.
- Strong programming skills in Python and C++; production-quality code with reproducibility, testing, and maintainability discipline.
- Strong communication skills, able to convey complex technical concepts to a diverse audience.
- Demonstrated independent technical authority — you have set technical direction in a tech-lead capacity, leading a research subgroup, owning an architecture across multiple ICs' work, or making the architectural call on a high-profile project.
Benefits
- 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!