Robotics Engineer

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.