Top Tech Jobs & Startup Jobs

Annotate and label images and video from humanoid robots using proprietary tools, collaborate with ML engineers on guidelines, flag edge cases, maintain quality and throughput, and provide feedback to improve workflows.

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.

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

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.