Benefits:

• Premium Medical, Dental and Vision Plan

• Free Daily Breakfast, Lunch and Dinner

• Paid vacations and holidays

• 401K plan

• Annual performance bonus and equity

Education Requirements:

• Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, or related field

• Expected graduation date between December 2025 and June 2026

Experience Requirements:

• Proficient in C++ and/or Python, Java, Go

• Experience with good coding standards and test-driven development

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and cross-functional team collaboration abilities

• Passion for innovation

Responsibilities:

• Build real-time, in-vehicle systems for safe AV operation

• Develop high-performance data transport frameworks and logging infrastructure

• Develop real-time communication service frameworks between devices

• Develop cloud-based and backend systems supporting the AV fleet

• Optimize computational performance and create developer tools

Benefits:

• Premium Medical, Dental and Vision Plan

• Free Daily Breakfast, Lunch and Dinner

• Paid vacations and holidays

• 401K plan

Education Requirements:

• Bachelor's degree or higher in Computer Science, Physics, Software Engineering, Mathematics, or related field

Experience Requirements:

• Proficient in C++

• Familiar with common data structures and algorithms

• Experience with development in a Linux/Unix environment

• Proficient in big data processing and analysis (SQL and Python)

Other Requirements:

• Excellent communication and teamwork skills

• Self-motivated and able to perform well under pressure

• Analytical thinker

• Passion for the autonomous vehicle industry

Responsibilities:

• Create algorithms to evaluate safety, comfort, and performance of AV systems

• Design data pipelines and metric systems to quantify system capabilities

• Aggregate and analyze test data to identify system issues

• Responsible for data visualization and report automation

• Extract high-value traffic scenarios from massive test data

Benefits:

• 1-on-1 mentorship

• Hands-on training

• Team-building activities

• Interactive workshops

Education Requirements:

• Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, Robotics or related field

• Expected graduation date before December 2027

Experience Requirements:

• Proficient in C++ and/or Python, Java, Go

• Good programming practices and test-driven development experience

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication skills

• Passion for autonomous vehicle industry

• Available to work in the office five days a week

Responsibilities:

• Build real-time, in-vehicle systems for safe AV operation

• Design and develop new features to optimize computational performance

• Optimize for efficient model deployment and enhance machine learning workflow

• Develop high-performance GPU/CPU kernels

• Work with multiple algorithm teams to optimize algorithms

Benefits:

• 1-on-1 mentorship

• Hands-on training

• Team-building activities

• Interactive workshops

Education Requirements:

• Currently pursuing a PhD degree in Robotics, Computer Science, Machine Learning, or related field

• Expected graduation date before the end of 2027

Experience Requirements:

• Proficient in C++ and/or Python

• Strong understanding of machine learning approaches and algorithms

• Experience with NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and cross-functional team collaboration abilities

• Passion for innovation in the autonomous vehicle industry

• Available to work in the office five days a week

Responsibilities:

• Develop innovative machine learning solutions for autonomous driving

• Implement and optimize models for deployment across WeRide vehicles

• Analyze simulation and real-world road test data to identify issues

• Collaborate with cross-functional teams for model integration

Experience Requirements:

• 5+ years of experience in a related industry

• Proficient in CNC lathes and mills

• Must be able to work in a fast paced and collaborative environment

• Ability to tackle problems in which you may not have expert knowledge

• Ability to understand engineering documentation

Other Requirements:

• Fabrication and/or welding experience

• JIRA

Responsibilities:

• Assess tools and material needed for projects

• Provide feedback and solutions to improve designs and create efficiency

• Program, set up and operate machines and tools

• Set up and operate a CNC Lathe with live tooling

• Set up and operate CNC 3 axis mills

Experience Requirements:

• 5+ years experience leading a highly skilled team in a fast paced environment

• Excellent problem-solving and decision-making abilities

• Experience operating and troubleshooting early-stage technologies

• Excellent communication skills especially using data

• Able to work well under pressure while managing competing, time-sensitive demands

Other Requirements:

• Experience with robotics or AI data collection

• 10+ years experience leading skilled teams operating complex technology

Responsibilities:

• Build, train and lead Figure’s Pilot team

• Manage day-to-day frontline operations

• Accountable for data collection performance metrics

• Be the point of contact for setting up new projects and resolving issues

• Develop onboarding and ongoing training documentation

Experience Requirements:

• 2-4 years in operations strategy, consulting, startup project management, or similar roles

• Excellent problem-solving and decision-making abilities

• Excellent communication skills especially using data

• Able to work well under pressure while managing competing, time-sensitive demands

• Proficiency in Google Workspace and operational management tools

Other Requirements:

• Experience with robotics or AI data collection

• A passion for helping scale the deployment of learning humanoid robots

Responsibilities:

• Supporting the execution of offsite deployments

• Leading cross-functional planning and coordination across Engineering and Pilot teams

• Designing and tracking key data collection metrics

• Performing analyses and developing tools, processes, and dashboards

• Defining and refining data collection methodologies

Experience Requirements:

• Excellent physical coordination, spatial awareness, and focus

• Can stand 8+ hours a day

• Master new physical tasks quickly

• Embrace constructive feedback

• Thrive in a fast paced environment

Other Requirements:

• Shift: 9:00am-6:00pm

Responsibilities:

• 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

• Maintain a safe environment for both yourself and the robot during teleoperation

• Follow proper equipment and robot maintenance procedures

Experience Requirements:

• Excellent physical coordination, spatial awareness, and focus

• Stay on your feet for 8+ hours a day

• Master new physical tasks quickly

• Embrace constructive feedback

• Thrive in a fast paced environment

Other Requirements:

• Shift: 2:00 PM – 10:30 PM (Monday to Friday)

• Open to traveling to different locations around the Bay Area for offsite work

Responsibilities:

• Wear sensor equipment to guide the robot through human-like motions

• Collect high-quality motion data used to train AI models

• Flag any issues or bugs during collection and share daily feedback

• Follow proper equipment and robot maintenance procedures

• Maintain a safe and organized workspace during all operations

Experience Requirements:

• Hands-on experience developing and deploying robot learning systems on real robots

• Strong background in robot manipulation and visuomotor control

• Experience with behavior cloning, reinforcement learning, or related learning-based manipulation methods

• Proficiency in Python and/or C++ for robotics and ML systems

• Experience with modern deep learning frameworks (e.g., PyTorch)

Other Requirements:

• Experience deploying learning-based manipulation systems in commercial or production robotic systems

• Prior work on humanoids or highly dexterous robotic platforms

• Publication record in robot learning, manipulation, or embodied AI

Responsibilities:

• Design, train, evaluate, and deploy learning-based visuomotor policies for humanoid robot manipulation

• Develop manipulation behaviors such as grasping, pick-and-place, object reorientation, door opening, bimanual manipulation, and basic assembly

• Apply and extend techniques including behavior cloning, reinforcement learning, and VLA reasoning

• Train models that are robust to real-world challenges

• Own the full pipeline from data collection on real robots to model training, evaluation, and deployment

Experience Requirements:

• 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

Other Requirements:

• Fluency in English required

• Require 5 days/week in-office collaboration

Responsibilities:

• Use proprietary annotation tools to label objects, poses, and interactions

• 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

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field

Experience Requirements:

• Strong software engineering fundamentals

• 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

Other Requirements:

• 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.)

Responsibilities:

• 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

Benefits:

• 20 vacation days

• Strong health and extended health benefits

• Unlimited sick days

• Stock options

Education Requirements:

• Bachelor’s or Master's degree in Electrical or Computer Engineering

Experience Requirements:

• 8+ years of Product and Test Engineering on VLSI silicon

Other Requirements:

• Excellent oral and written communication skills

• Understanding of CPU/GPU type products

• Experience with ATE Hardware & Test Program analysis

• Ability to review and analyze schematics

• Experience with Product Reliability Qualification

Responsibilities:

• Introduce new products to volume manufacturing

• Define and develop dashboards or scripts to quickly analyze incoming data

• Develop and drive and analyze all aspects of silicon reliability and qualification activities

• Develop and drive vendors to generate required hardware and software needed for the silicon manufacturing environment

• Responsible for creating needed documentation and dashboards