Jobs at Figure.ai

The Senior Mechanical Engineer will design, test, and implement a charging system for a humanoid robot, collaborating with electrical and compliance teams while ensuring design meets durability and certification requirements.

The Data Growth Associate will drive global data collection strategies, user acquisition, and operational optimization while collaborating with cross-functional teams.

The Data Strategy Associate will manage data collection operations, coordinating deployments, tracking budgets, and reporting metrics to streamline processes.

The Mechanical Engineer will design, test, and implement hardware components for humanoid robots, focusing on CAD design, prototyping, and collaboration with teams to ensure successful integration.

The Robotic Safety Engineer will define safety strategies and ensure compliance for Figure's humanoid robot, focusing on obtaining safety certifications and supporting safety-critical functions.

Looking for experienced C++ developers to architect, design, implement, and test C++ middleware for a humanoid robot. Responsibilities include developing Python tooling and ensuring software stability and scalability.

Design and develop structural components for humanoid robots, collaborating with multiple engineering teams and validating designs through testing and analysis.

Design and build test fixtures for humanoid robots, ensuring integration and validation of hardware through hands-on testing with prototype equipment.

The Data Quality Partner Lead will manage external vendor partnerships for data annotation and review, ensuring quality and operational efficiency.

Develop, train, deploy, and evaluate reinforcement learning algorithms for the whole body control of humanoid robots, focusing on performance optimization and robustness.

Lead the development of large-scale video foundation models for humanoid autonomy, focusing on training strategies and model evaluation for real-world applications.

Lead the integration and optimization of MES infrastructure, ensuring real-time data availability and operational visibility in manufacturing processes.

Design, implement, and test firmware (C/C++) for motor controllers, BMS, and sensors; build reusable firmware strategies; create Python test/calibration tools; contribute to CI/CD; support HW/SW integration and lab debugging.

Define hardware reliability specs from product use cases, lead DFMEA, develop and run accelerated life tests, support failure analysis, and work cross-functionally to resolve design and manufacturing issues.

Develop learning systems using reinforcement learning for autonomous robots, focusing on policy optimization and real-world application.

Design, build, and run automated reliability test setups for robotic components and full systems. Manage parallel test workstreams, report results, lead root-cause analyses, reproduce failures, and validate mitigation through rigorous test protocols.

The Helix AI Engineer, Modeling will design core model architectures for AI systems, focusing on multimodal inputs and improving model capabilities for humanoid robotics.

The Helix AI Engineer will design, train, and deploy large-scale generative models, focusing on diffusion modeling for robots, while enhancing robot autonomy through perception and world modeling.

As a Helix AI Engineer focused on pretraining, you will design and train foundation models using multimodal data, improve generalization strategies, and optimize distributed training pipelines.

Develop and optimize the Android application for Figure's humanoid robots, focusing on real-time data processing, AI inference, and low-latency communication.