Figure's Posts (245)

Humanoid Robot Pilot (day shift) - Helix Team

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for industrial tasks, targeting labor shortages and jobs that are undesirable or unsafe for humans. We are based in San Jose, CA and require 5 days/week in-office collaboration. As a Humanoid Robot Pilot, you'll have the unique opportunity to work directly with our learning humanoid robots and teach them new behaviors and skills. You will be at the forefront of our operations, collecting new data to train our AI systems and working with the AI team to refine behaviors over time. Shift: 8:00am-5:00pm Responsibilities: Requirements: Bonus Qualifications: The US base salary range for this full-time position is between $35-$50/hr . The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Wear teleoperation equipment and guide the robot through designated behaviors - Upload collected data to our AI training system - Proactively identify issues during collection and report feedback daily to Figure's AI team - Maintain a safe environment for both yourself and the robot during teleoperation - Follow proper equipment and robot maintenance procedures, including bring-up and shutdown - Excellent physical coordination, spatial awareness, and focus - Can stand 8+ hours a day - Master new physical tasks quickly and find the optimal way to perform them - Embrace constructive feedback and strive for constant improvement - Thrive in a fast paced environment - Experience working with robots or troubleshooting mechanical systems - A passion for helping scale the deployment of learning humanoid robots

Location: San Jose, CA

Salary range: None - None

Data Lead

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA. It’s time to build. We are looking for a Data Lead to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: Requirements: The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots - Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency - Identify and flag ambiguous or edge-case scenarios for review by the ML team - Maintain high throughput and consistent quality across large annotation batches - Contribute feedback on workflow improvements and tool enhancements - Strong attention to detail and the ability to apply consistent logic across diverse scenarios - Comfortable navigating computer-based tools and quickly learning new software - Patient, quality-focused mindset with the ability to juggle multiple assignments - Clear written and verbal communication skills - Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment - Fluency in English required

Location: San Jose, CA

Salary range: None - None

Metrology Technician

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. We are looking for a Metrology Technician with a strong technical inspection background to join our Prototype Development Team. Responsibilities: Requirements: Bonus Qualifications: The US hourly range for this full-time position is between $35 - $50/hr. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Program, setup and operate various pieces of inspection equipment including CMM and OMM. - Proficient with all standard manual measuring tools and procedures (calipers/micrometers/bore gauges/thread gauges/etc) - Perform detail analysis and draft final inspection reports - Create inspections programs and processes for production QC - Work with prototype, first article and production inspection runs - Maintain a clean and organized workspace - Perform routine maintenance of all equipment - Train and assist others as needed - 5+ years of experience in a related industry - Deep understanding of mechanical and electrical components and assemblies - Experience navigating 3D CAD - Strong knowledge of engineering documents and GD&T - Must be able to work in a fast paced and collaborative environment - Exceptional organizational, interpersonal, and communication skills - Safety conscious, dependable, and a positive attitude - CATIA - JIRA - Polyworks

Location: San Jose, CA

Salary range: None - None

Global Supply Manager - Mechanical

Figure is an AI Robotics company developing a general-purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. We are looking for a Global Supply Manager to own commercial relationships with our suppliers and manufacturing partners. You will be owning setting up our supply chain, helping determine where we manufacture the robots and how we get from prototype to production volumes. Responsibilities Others: Requirements Bonus Qualifications: The US base salary range for this full-time position is between $140,000 - $220,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Strategic Sourcing: - Develop and execute global sourcing strategies for mechanical parts (plastic injection molding, CNC, die casting), identifying and qualifying new suppliers worldwide. - Conduct market research and analysis to identify industry trends, cost drivers, and emerging technologies in manufacturing. - Negotiate contracts with suppliers, ensuring favorable pricing, terms, and service levels. - Manage supplier relationships, fostering collaboration and continuous improvement. - Procurement: - Oversee the procurement process for mechanical parts, ensuring compliance with company policies and procedures. - Manage purchase orders, track shipments, and resolve any supply chain disruptions. - Collaborate with internal stakeholders (engineering, production, quality) to ensure part specifications and requirements are met. - Supply Chain Management: - Optimize inventory levels to balance cost, lead time, and demand variability. - Implement supply chain risk mitigation strategies, including supplier diversification, buffer stock, and alternative sourcing options. - Monitor supplier performance, track key metrics, and drive continuous improvement initiatives. - Cost Management: - Identify and implement cost reduction opportunities across the mechanical supply chain. - Analyze cost data, negotiate pricing, and optimize procurement processes to achieve cost savings targets. - Quality Management: - Collaborate with suppliers and internal quality teams to ensure parts quality meets or exceeds company standards. - Participate in supplier audits and quality reviews. - Drive continuous improvement in supplier quality performance. - Develop and execute global sourcing strategies for mechanical parts (plastic injection molding, CNC, die casting), identifying and qualifying new suppliers worldwide. - Conduct market research and analysis to identify industry trends, cost drivers, and emerging technologies in manufacturing. - Negotiate contracts with suppliers, ensuring favorable pricing, terms, and service levels. - Manage supplier relationships, fostering collaboration and continuous improvement. - Oversee the procurement process for mechanical parts, ensuring compliance with company policies and procedures. - Manage purchase orders, track shipments, and resolve any supply chain disruptions. - Collaborate with internal stakeholders (engineering, production, quality) to ensure part specifications and requirements are met. - Optimize inventory levels to balance cost, lead time, and demand variability. - Implement supply chain risk mitigation strategies, including supplier diversification, buffer stock, and alternative sourcing options. - Monitor supplier performance, track key metrics, and drive continuous improvement initiatives. - Identify and implement cost reduction opportunities across the mechanical supply chain. - Analyze cost data, negotiate pricing, and optimize procurement processes to achieve cost savings targets. - Collaborate with suppliers and internal quality teams to ensure parts quality meets or exceeds company standards. - Participate in supplier audits and quality reviews. - Drive continuous improvement in supplier quality performance. - Negotiate long-term deals and supply agreements which will let us build our humanoid robot - Collaborate closely with cross-functional teams, including engineering and manufacturing, to align sourcing activities with the company's product development and production timelines. - 7+ years of experience in supply chain development, or sourcing management - Hands-on experience in many of the following: Plastic Injection Molding, CNC, Die-casting, etc. - Excellent, negotiation and communication skills - Skilled at establishing strong relationships with suppliers and internal stakeholders. - Ability to travel internationally 25%+ - Engineering degree - Previous work at a startup or on a very lean team - Robotics industry experience

Location: San Jose, CA

Salary range: None - None

AI Training Infrastructure Engineer - Helix Team

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system.Responsibilities Requirements Bonus Qualifications The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. - Design, deploy, and maintain Figure's training clusters - Architect and maintain scalable deep learning frameworks for training on massive robot datasets - Work together with AI researchers to implement training of new model architectures at a large scale - Implement distributed training and parallelization strategies to reduce model development cycles - Implement tooling for data processing, model experimentation, and continuous integration - Strong software engineering fundamentals - Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field - Experience with Python and PyTorch - Experience managing HPC clusters for deep neural network training - Minimum of 4 years of professional, full-time experience building reliable backend systems - Experience managing cloud infrastructure (AWS, Azure, GCP) - Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) - Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)

Location: San Jose, CA

Salary range: None - None

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