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.

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.

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

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.

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

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 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.

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 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.

Develop and optimize mission autonomy frameworks for robotic systems, including design, testing, and integration of AI-driven decision-making solutions.

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 Sensor Systems Engineer will design, integrate, calibrate, and validate sensing systems for robotics, ensuring accurate data collection in various environments.

Develop stochastic models for risk quantification and uncertainty propagation in robotics, collaborating with AI teams to transition mathematical insights into operational decision-making.

As a Senior Customer Success Manager, you will manage strategic accounts, foster client relationships, and coordinate with internal teams to optimize customer satisfaction and account growth.