Develop algorithms and software for robotics including simulation platform optimization, API development, and collaboration with AI teams to bridge sim-to-real gaps.

Develop algorithms and software for robotic autonomy, focusing on decision-making, navigation, and interaction with complex environments. Requires expertise in robotics and programming.

As a Research Engineer, you will architect software for robotic manipulation, develop novel algorithms, and deploy solutions on physical hardware.

The Reliability Engineer will ensure the uptime and reliability of deployed robotic systems, conduct root cause analyses for failures, and develop diagnostic tools. They will work with R&D to enhance the reliability and serviceability of future robotics.

Lead all operational aspects of the company, including finance, HR, IT, lab management, and supply chain strategy, ensuring scalable systems.

Design and build core data infrastructure for AI research, create scalable data pipelines, manage cloud infrastructure, and develop CI/CD systems.

The PhD Internship involves contributing to R&D focused on robotics, AI, biology, and materials science, allowing students to publish work.

The Head of Capital will develop a comprehensive capital strategy, manage relationships with strategic partners, and lead financial modeling for major projects, focusing on building systems for long-term industrial growth.

The Research Residency involves ownership of critical research or engineering projects, rapid prototyping ideas, and collaboration with engineers and scientists to drive advancements in robotics and AI.

Develop and apply reinforcement learning algorithms for robotics, design training curricula, and integrate learned policies into robot autonomy. Requires extensive experience in RL and related fields.

Develop real-time firmware for microcontrollers in robotics, including drivers for sensors and actuators. Collaborate with electrical engineers for hardware-software integration.

The NDT Specialist will lead in Non-Destructive Testing, design inspection procedures, analyze data, and liaise with customers and regulatory bodies.

Develop algorithms for robotic intelligence, focusing on control theory, reinforcement learning, and computer vision. Create self-supervised models for planning and scene understanding.

Design and build a teleoperation system for a robotic platform, developing algorithms and software for controlling and perceiving the robot's environment.

As a Research Engineer in Perception, you will create algorithms for robot perception, implement systems for state estimation, and design output systems for navigation and interaction in complex environments.

Lead talent acquisition efforts, partner with leadership on organizational design, enhance candidate experience, and shape company culture.

Design and implement advanced control algorithms for legged locomotion on a hexapod robot. Responsibilities include developing gaits, creating simulations, and collaborating with teams to enhance robot behaviors.

This internship involves hands-on work in designing components, fabricating parts, assembling electromechanical systems, and building test jigs for robotics.