The Internal Behaviors Engineer will validate the humanoid robot systems' performance and reliability through behavior development, integration testing, and troubleshooting.

As an AI Engineer, you will enhance and deploy state-of-the-art AI models, focusing on performance and safety in real-world applications through collaboration and innovative techniques.

The AI Engineer will create and optimize large-scale datasets for robotic manipulation models, collaborating with teams to automate tasks and enhance data quality.

The WMS Integration Engineer oversees inventory management, designs control processes, integrates systems, and leads teams to optimize warehouse operations.

Responsible for maintaining IT infrastructure, managing networks, researching technologies, and providing tech support while ensuring network stability and performance.

The IT Manager will oversee IT operations, maintain infrastructure, evaluate technologies, manage teams, and provide technical support, ensuring effective IT services for the company.

The intern will develop C++ code for teleoperation controls, estimate teleoperator poses, and integrate solutions with robotic systems.

Design PCB layouts for hardware, oversee fabrication files, manage library processes, collaborate with engineers, and direct external contractors.

The Software Engineer will design and maintain an OTA update system for humanoid robots, focusing on reliability, security, and deployment efficiency. Responsibilities include optimizing update pipelines and collaborating with various teams.

The In-Region Support Softgoods Engineer will lead product development, collaborate with vendors, and resolve engineering challenges in softgoods manufacturing.

The Senior Data Engineer will develop and optimize data processing infrastructure, analyze robotic system logs, and create visualization tools.

Design, implement, and test C++ middleware for a robotics platform. Develop Python tools and ensure software stability and scalability in CI.

Lead testing of actuators and sensors for humanoid robots, design test setups, collaborate with teams, and document results.

The Manipulation Controls Engineer designs, implements, and validates algorithms for humanoid robot manipulation, ensuring performance and system identification to bridge simulation and hardware gaps.

The HMI Design Lead will develop and execute a design strategy for human-to-humanoid interaction, leading the design process and collaborating with various teams to deliver high-quality digital assets and frameworks for robot interactions.

Design and implement a 3D visualization engine and tools for robotics data, provide technical support, and improve visualization frameworks.

Design and implement localization and mapping algorithms for humanoid robots using cameras and IMUs, ensuring reliable tracking and odometry software in dynamic environments.

Develop and implement manipulation algorithms for humanoid robots, train deep learning models, and collaborate on full autonomy stack.

As a DevOps Engineer, you will design and implement CI/CD pipelines, scale infrastructure in cloud/on-premise, develop Python tools, and collaborate with engineering teams to improve processes.

Operate and manage humanoid robots in automotive manufacturing, documenting issues, reporting metrics, and ensuring robot performance and safety.