The Robotics Software Integration and Release Engineer will manage software releases, maintain build pipelines, and ensure repository health while collaborating across teams to enhance delivery processes.

As a Forward Deployed Engineer, you'll deploy and integrate autonomous systems, ensuring performance in the field and improving reliability through customer feedback and collaboration.

Design and implement state estimation and localization algorithms for legged robots, integrating various sensors and optimizing for real-world performance.

As an ML Engineer, you will build and deploy machine learning models for autonomous robots, collaborating with ML scientists and engineers to enhance AI capabilities.

This role involves defining brand strategy, driving demand generation, leading marketing campaigns, and building a marketing team to support B2B sales in robotics.

The Field Application Engineer supports AI systems in robotics, requiring collaboration onsite and involves nationwide travel. Role focuses on implementing AI solutions for complex challenges.

Design and deploy scalable, interpretable world models and decision-making systems for robots, ensuring real-time performance and safety in dynamic environments.

Develop and test humanoid manipulation strategies, collaborate on robotics projects, and ensure successful deployment of robotic systems, utilizing software development skills in C++ and Python.

Design and develop scalable full-stack applications using various technologies, collaborate with teams, and optimize performance in robotics AI systems.

The role involves designing and implementing control algorithms for robotics systems, including simulation, hardware integration, and system identification, requiring strong programming and robotics fundamentals.

Intern will conduct research in robot skill learning, advance foundation models for robotics, and design large-scale training pipelines, testing ideas on real robots.

The Robotics Research AI Engineer will develop algorithms for robot learning, advance robotics foundation models, and deploy large-scale training pipelines. They will integrate various learning methods, work on real-world applications, and contribute to robotics research.

The role involves developing human-in-the-loop systems, sensor integration, robotics hardware, control algorithms, and data collection for training robotic models, while collaborating closely with researchers.

The Customer Success Associate will build relationships with enterprise clients, manage project deployments, drive customer satisfaction, and identify growth opportunities while collaborating across teams.

As an Embedded Compute Engineer, design, integrate, and optimize computing systems for robotics, focusing on performance, reliability, and scalability in field environments.

The Technical Customer Success Associate manages client relationships, ensuring satisfaction and retention while optimizing user adoption and driving account growth through strong collaboration across teams.

The Senior Manager of Financial Planning & Analysis will lead budgeting and forecasting processes, build financial models, and report insights to executive teams while collaborating cross-functionally to align financial strategies.

As an ML Infrastructure Engineer, you will build infrastructure for AI development, automate ML workflows, and enhance developer experiences while collaborating with various engineering teams.

The role involves building and maintaining simulation infrastructure for robotics, integrating simulations into CI/CD, developing dynamic models, and managing synthetic data generation for machine learning applications.

Responsible for designing, building, and maintaining foundational systems and services, focusing on infrastructure components, automation, and performance monitoring.