Jobs at Figure.ai

Design and release PCB layouts for critical humanoid robot hardware from initial placement through production. Prepare fabrication and assembly files, manage vendor DFx reports and external layout contractors, and collaborate with electrical, mechanical, and thermal engineers. The role requires expertise in Altium, power converters, flex and HDI designs, manufacturing yield, electrical rules, EMI/EMC, PCB materials, and stackups. Bonus experience includes high-speed and RF design, simulation tools, high-voltage compliance, advanced PCB technologies, and PLM systems.

Own software integration across AI, controls, firmware, and hardware for humanoid robots. Responsibilities include hands-on robot testing, issue triage, test-plan definition, software and firmware validation, manufacturing bring-up support, troubleshooting, and development of automated diagnostics and regression tests. The role requires debugging complex hardware-software systems, collaborating across engineering teams, and improving robotic platform reliability, scalability, and performance.

Design and maintain automated testing infrastructure for CI, hardware-in-the-loop, and system-level validation of humanoid robots. Develop Python frameworks, CLI tools, test pipelines, logging, reporting, and data visualization. Integrate regression testing into CI/CD, validate hardware and firmware releases, diagnose failures across hardware and software, and collaborate with systems integration, firmware, and software teams on test coverage and reusable validation frameworks.

Designs and tests mechanical hardware for humanoid robots, including 3D CAD parts, prototypes, 2D GD&T drawings, test stands, wire routing, and electromechanical integration. The role supports supplier selection, part ordering, first-article inspection, robot development platforms, simulation and analysis, manufacturing documentation, and continuous hardware support.

Manage corporate conference rooms and AV systems in a Zoom environment, including break/fix support, user training, and issue resolution. Provide Tier 1 IT support, manage tickets, assist with onboarding, offboarding, device imaging, inventory, and logistics. Administer Google Workspace and Okta accounts, groups, and access, document IT standards and policies, and serve as backup AV support. The role requires onsite collaboration five days per week in San Jose.

Provide on-site and remote IT support across headquarters, troubleshoot Linux, Windows, and Mac systems, manage tickets, employee onboarding and offboarding, maintain IT asset inventory, support Okta and collaboration tools, assist with conference room AV and events, coordinate with vendors, and handle printer requests. The role requires strong customer service, networking fundamentals, documentation, and problem-solving skills.

Own company-wide endpoint engineering across macOS, Windows, and Ubuntu fleets, including zero-touch provisioning, security hardening, patch compliance, EDR coverage, remote recovery, and low-connectivity device programs. Lead Okta SSO, RBAC, and identity lifecycle automation integrated with business SaaS platforms. Build scripts and integrations to eliminate manual IT work, manage audits and change processes, document standards, resolve escalations, and mentor IT operations staff.

Own end-to-end People Operations, including employee lifecycle administration, HR inquiries, leaves, accommodations, payroll, benefits, timekeeping compliance, and multi-state workforce support. Administer HR systems, workflows, permissions, integrations, and data governance while partnering on compensation architecture, knowledge management, compliance, vendor relationships, and cross-functional People projects. The role requires strong California employment law, FLSA, benefits, payroll, and contingent workforce expertise in a five-day, in-office environment.

The Deployment Engineer will support engineering during development and deployment at customer sites, develop testing plans, execute tests, analyze data, and communicate feedback.

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.

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.

Develop and enhance visuomotor manipulation policies for humanoid robots, focusing on real-world deployment and integration with other systems.

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

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.

Own and optimize on-board inference architecture for humanoid robots: map and partition models across heterogeneous accelerators, enforce compute budgets, optimize toolchains and kernels, apply quantization/pruning, profile pipelines, and collaborate with AI, platform, and silicon vendors to meet real-time power, latency, and reliability constraints.

Own end-to-end demand planning, build S&OP and forecasting processes, aggregate commercial and internal requirements, model demand including yield and test consumption, prioritize parts under constraints, create planning metrics and dashboards, and evaluate planning/ERP tools while collaborating with Manufacturing, Quality, NPI, Finance, and Commercial teams.

Develop and maintain XR products and spatial UIs to interface with humanoid robots and data-capture hardware. Implement features, fix bugs, harden XR data sync, integrate custom hardware with XR headsets, and support hardware experiments, low-latency video streaming, and motion-capture workflows.