Robotics Engineer
Hands-on robotics engineer building control stacks, sim-to-real pipelines, and infrastructure for robot learning projects. Collaborates with researchers to deploy algorithms on real hardware using Python and modern robotics ecosystems. Requires Master's/PhD + 3 years or Bachelor's + 3+ years experience.
About the job
Responsibilities
- Develop and maintain complete control stacks for robotic systems, including low level control, motion planning, and integration of learned policies.
- Develop and maintain the sim-to-real pipeline, including system identification, understanding simulation models, and deploying learned policies from simulation to real hardware.
- Lead robot set-up across manipulation and mobile hardware platforms, including integration, calibration, and system tuning.
- Diagnose and resolve complex system behaviors across hardware, software, and runtime.
- Collaborate closely with researchers to translate algorithms into reliable, real-world robotic behavior.
- Work with modern GPU-accelerated simulation frameworks to enable large-scale experimentation.
Minimum Qualifications
- Masters + 3 years experience or PhD in robotics or relevant field. Exceptional candidates with a bachelor’s degree and 3+ years of industry experience are also welcome to apply.
- Proficiency in Python and modern robotics / simulation ecosystems.
- Strong depth of experience working with either physical robots or robotic simulation.
- Strong development and debugging skills across the full robotics stack (perception → planning or inference → control → hardware).
- Clear communication and ability to collaborate effectively with research teams.
- A structured, systems-oriented approach to building and improving complex robotic infrastructure.
Preferred Qualifications
- Experience implementing and tuning real-time control systems along with a strong foundation in control, dynamics, and system identification.
- Experience translating control and learning-based methods from simulation to real robotic systems.
- Familiarity with large-scale simulation and reinforcement learning pipelines.
Compensation
Base salary range: $118,800 - $178,200, plus generous bonus plans.
Skills
Python, Robotics, Simulation, Control Systems, Motion Planning, Sim-To-Real, Reinforcement Learning, Gpu Acceleration, System Identification, Robot Manipulation
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