Jobs at Mind Robotics

The Senior Safety Engineer will manage the safety lifecycle for a humanoid robot, overseeing hazard analysis, component selection, certification, and collaboration with various engineering teams.

This role involves solving cross-domain operational problems, financial modeling, strategic analysis, and building new functions to support rapid growth at Mind Robotics.

The Candidate Experience Partner will manage the logistics of the interview process and ensure a seamless, high-quality experience for candidates. Responsibilities include coordinating schedules, facilitating executive interviews, advocating for candidates, and optimizing recruiting workflows.

The Systems Engineer will define requirements, own architecture, prototype systems, debug hardware and software interactions, and ensure system readiness throughout the product life cycle.

The Finance & Accounting Lead will establish and oversee the finance function at Mind Robotics, managing financial close, operations, planning, and cash management while building systems from scratch.

The Actuation Engineer is responsible for designing and prototyping actuators for robots, collaborating with teams to ensure performance, and debugging integration issues.

The role involves designing geared powertrains for robotic systems, focusing on transmission architecture, geometry design, and performance calculations, while supporting manufacturing and testing.

The Motor Designer will own the design of custom motors, optimizing for torque density and compact packaging. Responsibilities include electromagnetic simulation, mechanical design, prototype testing, and collaboration with engineering partners.

The Electrical Design Engineer will develop complex electrical systems, execute PCB design, collaborate with other engineers, and validate products through testing.

The role involves building large-scale data systems for robotics AI training, focusing on data pipelines, storage, and workflows.

The Product Manager for the Data Annotation Platform will drive product strategy, manage the development lifecycle, ensure data quality, and coordinate with stakeholders to support ML model training.

Design and optimize middleware and runtime systems for robotic platforms, ensuring system stability and user experience through CI/CD and deployment pipelines.

Research Scientists and Engineers are needed to develop and implement robotics solutions, integrating research ideas with practical systems for real-world applications.

The Product Manager for Data & Teleoperation will define the roadmap for a teleoperation platform, oversee data fidelity, and ensure the integration of cutting-edge technologies like VR and haptics for improved efficiency and training data capture.

The role involves building systems for large-scale model training, focusing on distributed training, ML infrastructure, and GPU performance optimization.