Experience Requirements:

• 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

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 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

Experience Requirements:

• Have a deep knowledge of classical computer vision techniques (feature detection, stereo matching, structure from motion etc)

• Industry experience building robust odometry applications, preferably visual inertial odometry

• Familiar with Deep Learning techniques for Localization and Mapping applications, especially feature detection and pose regression

• Hands-on experience with sensor calibrations (e.g. stereo cameras, camera and IMU extrinsics)

• Capable of quickly writing massive amounts of high quality, well-tested, perception software

Other Requirements:

• Thrive in a high pace environment, where solutions are often unclear and require exploration

• Passionate about building humanoid robots

Responsibilities:

• Design, implement, test, and deploy localization and mapping algorithms for humanoid robots, fusing information from cameras, IMUs and other sensors

• Own tracking and odometry modules at Figure

• Implement onboard, real-time tracking and odometry software

• Build evaluation pipelines, including data collection and metrics, in collaboration with other Figure teams

• Engineer and ship high quality, reliable software that will be deployed to the real world

Experience Requirements:

• Strong C++ skills for real-time systems

• Experience building high-rate VR/haptic teleop systems with force feedback for manipulation in real robot environments

• Strong background in API design, designing general purpose code that serves multiple teams

• Thrive in a high pace environment, where solutions are often unclear and require exploration

Responsibilities:

• Own teleop of the Figure robot, including technical roadmap and use cases

• Evaluate different teleop strategies, including motion capture, VR, haptics, and puppeteering

• Design a teleop system for whole body manipulation and dexterous finger control

• Implement real-time retargeting algorithms for robust and intuitive teleop control

• Design scalable solutions that integrate with Autonomy, Controls, and Testing systems at Figure

Education Requirements:

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

Experience Requirements:

• Strong proficiency in both C++ and Python

• Minimum of 4 years of experience designing flexible, performant software and interfaces for resource-constrained systems such as robots or mobile devices

• Experience with Linux and development tools such as debuggers and performance profilers

Responsibilities:

• Design, implement and maintain our on-robot software framework for executing, monitoring and testing the autonomy system on our humanoid robot

• Collaborate with interdisciplinary robotics, firmware development, and infrastructure teams to identify autonomy framework system requirements and take the lead on satisfying them

• Design and implement internal tools that accelerate development and expand software and hardware testing capabilities

• Continuously raise the quality of our product by identifying gaps and advocating for improvements across the stack

• Provide technical guidance and support to other team members, fostering a culture of excellence and innovation

Experience Requirements:

• Experience with one or multiple physical simulators (e.g. Mujoco, IsaacSim, Drake, Pybullet) and experience in a deployed robotics environment

• Have a deep knowledge of state of the art techniques in physical simulation, including accurate simulation of contact dynamics for robot manipulation and locomotion, as well as photorealistic environmental rendering for perception, localization, and machine learning

• Strong background in API design, designing general purpose code that serves multiple teams

• Thrive in a high pace environment, where solutions are often unclear and require exploration

Other Requirements:

• Experience generating simulated assets, task definitions, and Gym environments

Responsibilities:

• Own physical simulation of the Figure robot, including technical roadmap and use cases

• Evaluate different physical simulation options (commercial or free) and make design trade offs and decisions based on robot requirements

• Design scalable solutions that integrate with Autonomy, Controls, and Testing systems at Figure

• Enable multiple uses of simulation, including: Generating synthetic datasets for machine learning, Tuning physical simulators to bridge sim-to-real gaps in contact-rich environments like manipulation and locomotion, Designing environments, assets, and APIs that cover customer use cases, Supporting simulation studies that inform future robot design.

• Develop and use modern software engineering techniques to implement high quality, well-tested software

Experience Requirements:

• Experience implementing, testing, and deploying behavior coordination solutions in C++ and/or Python on real robots

• Capable of quickly writing massive amounts of high quality, well-tested, behavior coordination software

• Possess both a theoretical understanding and have practical experience with behavior coordination algorithms

• Have a deep knowledge of state of the art techniques, data structures, and software tools

• Thrive in a high pace environment, where solutions are often unclear and require exploration

Other Requirements:

• Experience in behavior coordination

Responsibilities:

• Implement a robot behavior architecture that provides various behavior authoring tools, such as state machines and behavior trees

• Using this architecture, design, implement, test, and deploy robot behavior coordination algorithms for humanoid robots for a large variety of mission scenarios.

• Develop and use modern software engineering techniques to implement high quality, well-tested software

• Evaluate potential behavior coordination solutions and make design trade offs and decisions based on robot requirements

• Collaborate with other Figure team members to develop and implement a full autonomy stack

Experience Requirements:

• Confident writing production quality code in PyTorch

• Familiar with online and offline reinforcement learning algorithms: PPO, SAC, etc.

• Experience tuning hyperparameters and cost functions for these RL algorithms

• Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.

• Familiarity with general ML evaluation tools such as TensorBoard, Weights&Biases, etc

Responsibilities:

• Develop, train, and deploy reinforcement learning algorithms for locomotion and manipulation tasks

• Build simulation infrastructure to support the training of locomotion and manipulation policies for a general purpose humanoid robot at a large scale

• Collaborate with the controls team to integrate policies into the existing control stack

• Define, test, and evaluate performance metrics for learned policies

Benefits:

• Competitive salary and equity

• Excellent health, vision, and dental insurance

• Flexible PTO + a team-wide commitment to work-life balance

• 12-week paid parental leave + a flexible, supportive return policy

• 401k matching up to 4%

Benefits:

• Competitive salary and equity

• Excellent health, vision, and dental insurance

• Flexible PTO + a team-wide commitment to work-life balance

• 12-week paid parental leave + a flexible, supportive return policy

• 401k matching up to 4%

Benefits:

• Competitive salary and equity

• Excellent health, vision, and dental insurance

• Flexible PTO + a team-wide commitment to work-life balance

• 12-week paid parental leave + a flexible, supportive return policy

• 401k matching up to 4%

Benefits:

• Competitive salary and equity

• Excellent health, vision, and dental insurance

• Flexible PTO + a team-wide commitment to work-life balance

• 12-week paid parental leave + a flexible, supportive return policy

• 401k matching up to 4%

Benefits:

• Competitive salary and equity

• Excellent health, vision, and dental insurance

• Flexible PTO + a team-wide commitment to work-life balance

• 12-week paid parental leave + a flexible, supportive return policy

• 401k matching up to 4%

Benefits:

• Competitive salary and equity

• Excellent health, vision, and dental insurance

• Flexible PTO + a team-wide commitment to work-life balance

• 12-week paid parental leave + a flexible, supportive return policy

• 401k matching up to 4%

Education Requirements:

• CompSci or related STEM degrees

Experience Requirements:

• 2 Years of experience in Data Science or Data Analyst

Other Requirements:

• Proficiency in Python, SQL

• Data Analysis tools such as Pandas, Scikit-Learn, Plotly

• Experience in working with large, complex datasets and converting it into actionable insights

• Eager to get hands-on experience in a variety of use cases and industries

• Ability to present also in English to all levels of the organization, from ICs to the C-Suite

• Experience in pre-sales, consulting, and/or customer-facing roles - presenting value propositions to business-oriented personas - advantage

• Experience with building datasets - leveraging web scraping , API automation and entity resolution - advantage

• Hands-on experience in Databricks & Pyspark to develop ETL - advantage

• Experience with BI tools(Tableau/PowerBI), cloud solutions (AWS/GCP) - advantage

• Previous experience working with Account Executives and Customer Success Managers - advantage

Responsibilities:

• Present and demonstrate Explorium’s product to prospective clients - both technical and non-technical executives

• Identify pain points in customers current data stack, scope solutions that can show clear business value while maximizing Explorium’s capabilities

• Design use case objectives and success criteria, with an understanding of our capabilities and client needs

• Develop data-based solutions and predictive models to address the business objectives of our clients, both during the proof-of-concept phase and as part of ongoing engagements

• Connect experience on Explorium’s platform and user feedback to product teams, driving feature enhancements based on customer demand and impact on the company’s growth

Benefits:

• Competitive Compensation and Equity

• Hybrid workplace

• 401k plans with a matching program

• Medical, Dental and Vision coverage

• Life and AD+D Insurance

Education Requirements:

• Excellent academic background in Computer Science, Mathematics, Statistics, or a related field

Experience Requirements:

• Significant experience with increasing levels of responsibility working in data analytics/science

Other Requirements:

• Excellent technical proficiency in Python, SQL, and data transformation tools

• Strong familiarity with data visualization tools

• Experience leading engagements with external customers

• Background in healthcare is a plus

• Excellent communication skills

Responsibilities:

• Collaborate with cross-functional teams

• Utilize Python, SQL, business intelligence tools

• Collaborate on the construction and maintenance of data pipelines

• Serve as a trusted advisor to external customers

• Stay informed about industry trends

Benefits:

• Competitive Compensation and Equity

• Hybrid workplace

• 401k plans with a matching program

• Medical, Dental and Vision coverage

• Life and AD+D Insurance

Experience Requirements:

• 3+ years of of experience designing microservices and data processing pipelines at scale

• 3+ years of experience with Google Cloud Platform (GCP) or AWS

• Experience with distributed model training and/or inference

Other Requirements:

• Previous experience deploying systems for efficient batch or online ETL

• Strong programming skills in Python

• Experience with database (SQL and NoSQL) systems

• Experience with optimizing models for production deployments

• Strong understanding of machine learning concepts

Responsibilities:

• Develop and maintain machine learning model development pipelines

• Develop and maintain real time and batch inference pipelines

• Implement and maintain metrics for tracking ML models performance

• Design and develop internal tools and APIs

• Model integration with labeling and data curation processes

Benefits:

• Competitive Compensation and Equity

• Hybrid workplace

• 401k plans with a matching program

• Medical, Dental and Vision coverage

• Life and AD+D Insurance

Experience Requirements:

• 10+ years of software engineering experience including 3+ years of data-related experience

Other Requirements:

• Strong programming skills in Python and C#

• Proficiency in SQL

• Experience working with cloud vendors

• Strong knowledge of Docker and Kubernetes

• Experience with Practice Management Systems or electronic health records (EHR) is a plus

Responsibilities:

• Design, develop, and implement data pipelines

• Collaborate with cross-functional teams

• Conduct data mapping and data modeling activities

• Build framework for automated rollout of our products

• Guide the development of data resources

Benefits:

• Competitive Compensation and Equity

• Hybrid workplace

• 401k plans with a matching program

• Medical, Dental and Vision coverage

• Life and AD+D Insurance

Education Requirements:

• Excellent academic background in Computer Science or other related field

Experience Requirements:

• Significant relevant experience writing code and delivering products with increasing levels of responsibility

Other Requirements:

• Strong technical skills in programming languages

• Strong familiarity with cloud platforms

• You love mentoring engineers and have a track record of doing so

• You have experience in cultivating a strong engineering culture

• Excellent verbal and written communication in English is required

Responsibilities:

• Design, develop, and maintain impactful software solutions

• Write efficient and scalable code

• Act as a key technical partner to cross-functional teams

• Troubleshoot and resolve software defects and performance issues

• Participate in code reviews

Benefits:

• Competitive Compensation and Equity

• Hybrid workplace

• 401k plans with a matching program

• Medical, Dental and Vision coverage

• Life and AD+D Insurance

Education Requirements:

• Excellent academic background in Computer Science or other related field

Experience Requirements:

• Significant relevant experience writing code and delivering products with increasing levels of responsibility

Other Requirements:

• Proficiency in programming languages

• Strong familiarity with cloud platforms

• Proven track record of mentoring engineers

• Experience in cultivating a strong engineering culture

• Ability to thrive in a fast-paced, technical, and mission-focused environment

Responsibilities:

• Design, develop, and maintain impactful software solutions

• Write efficient, scalable, and high-quality code

• Serve as a key technical partner to cross-functional teams

• Troubleshoot and resolve software defects and performance issues

• Participate in code reviews