Figure's Posts (245)

2025-07-19

Manufacturing End of Line 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 and require 5 days/week in-office collaboration. It’s time to build. We are looking for a Lead Manufacturing Test Software Engineer to take ownership of our test architecture and strategy. In this role, you will drive design decisions, prioritize features, and mentor others as you lead the development of scalable, maintainable software for programming, calibrating, and validating modules at end-of-line. This is a highly technical role with a direct impact on build quality and throughput. You will work closely with manufacturing, hardware, and systems teams to ensure test coverage is robust, extensible, and able to evolve with rapid hardware iteration. Responsibilities: Requirements: Bonus Qualifications: The US base salary range for this full-time position is between $150,000 - $300,000 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. - Architect and implement robust manufacturing test software for validating sensors, actuators, and subassemblies - Lead technical strategy and prioritization for EOL test automation, balancing speed, coverage, and maintainability - Coordinate test system design with EE, FW, Systems Integration and ME teams - Develop and maintain operator-facing GUIs for configuration, calibration, and data logging - Drive diagnostic visibility and failure analysis through software tools and system telemetry - Support builds on-site and at CMs, helping bring up and debug systems at the line - Ensure seamless integration with MES - 10+ years of experience in test automation, hardware interfacing, or robotics software development - Strong coding skills in Python and C++, including hardware I/O and protocol integration - Familiarity with Linux, USB, UART, SPI, Ethernet, and embedded interfaces - Working knowledge of electronics and schematics; able to support light debug and fixture reviews - Strong communicator capable of aligning software and electrical efforts across EOL test projects - Experience building, scaling, or refactoring test systems across multiple product cycles - Understanding of MES/PLM integration or test traceability frameworks - Bachelor’s or higher in Software, Electrical, Controls, or Mechatronics Engineering - Experience leading multidisciplinary teams or mentoring across software/hardware boundaries - Previous work on mobile robots or electromechanical systems - Experience with fixture development workflows or CM deployment support - Strong background in electrical tester design

Location: San Jose, CA

Salary range: None - None

2025-07-19

AI Engineer, Post-Training - Helix Team

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 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 anAI Engineer, Post-Trainingto work on enhancing and deploying state-of-the-art AI models. You will focus on improving large pre-trained models for practical applications, ensuring that they are reliable, efficient, and scalable. You will collaborate closely with research and product teams to develop new techniques for optimizing AI systems, and help integrate advanced AI capabilities into products and services. Responsibilities: Requirements: Bonus Qualifications: The US base salary range for this full-time position is between $175,000 - $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. - Lead the post-training research to improve performance, safety, and generalization of large-scale AI models. - Work with cross-functional teams to deploy AI solutions in real-world applications, focusing on improving the user experience and model performance. - Develop and implement novel approaches to model fine-tuning, optimization, and evaluation. - Design and conduct experiments to better understand model behavior and to identify and mitigate risks related to fairness, safety, and reliability. - Collaborate with other researchers, engineers, and product teams to align model development with company goals. - Contribute to cutting-edge research and bring new insights to the team to solve complex problems in AI deployment. - Strong background in machine learning, deep learning, and natural language processing (NLP). - Proven experience in model development, tuning, and evaluation with large-scale neural networks. - Familiarity with AI safety and robustness challenges in real-world environments. - Proficiency in programming languages such as Python, with experience in machine learning frameworks like TensorFlow, PyTorch, or similar. - Experience working with large codebases and distributed computing environments. - Ability to conduct independent research and collaborate effectively in a team-oriented environment. - A Masters or PhD or equivalent experience in a relevant field (e.g., Computer Science, Machine Learning, AI, or related disciplines). - Prior experience working with robotic learning systems

Location: San Jose, CA

Salary range: None - None

2025-07-19

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

2025-07-19

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

2025-07-19

Manufacturing Repair Technician

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 and require 5 days/week in-office collaboration. It’s time to build. We are looking for a Manufacturing Repair Technician to complement our superstar team building and improving the product of the future. 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. - Diagnosing and repairing full robots and smaller sub-assemblies for Figure 03 high volume manufacturing - Repairing small batch mechanical components including but not limited to thread repair, fitment issues, and handling damage. - Document and feeding back issues and possible improvements to your management for manufacturing, design, quality, and other groups - Creating and documenting repair procedures for repeat issues and future remanufacturing of failed in field robots and sub-assemblies - Supporting any immediate need to keep manufacturing moving at a high rate - 5+ years experience working with complex systems - Familiarity with computer based tools such as but not limited to CMD prompt, Google Suite, Confluence, Jira, and in house development GUI’s - Familiarity with electrical hardware based diagnostic tools such as but not limited to Scope, Digital MultiMeter, Current Probes - Familiarity with torque tools and mechanical assembly - Ability to read PCBA and Harness schematics for trouble shooting - Ability to follow assembly documentation - Ability to build with little to no documentation with engineering support - Full system architecture diagnostic experience and organized diagnostic processes - Great attitude and excited to face challenges - Catia or CAD based program experience - MES Experience - Programming experience Python Java C++ - Fabrication experience - PCB Rework experience - Robotics experience

Location: San Jose, CA

Salary range: None - None

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