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As a ROS Developer, you will develop robotic applications using ROS/ROS2, integrate sensors, implement data processing pipelines, and collaborate on autonomy solutions for real-world applications.

The Director of Robotics Product Safety leads safety vision and execution for autonomous systems, ensuring compliance and risk management, while mentoring the safety engineering team.

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

Develop and integrate software for humanoid robots, focusing on perception, planning, and manipulation systems while ensuring high reliability and performance in real-world applications.

The Technical Support Specialist assists customers with technical issues related to robotic systems, providing support, documentation, and training on system setup and best practices.

Lead the development of reinforcement learning-based locomotion controllers for legged robots, focusing on designing and testing agile policies in real-world scenarios.

Lead QA for software releases, perform manual and automated UI testing, triage and document defects, build lightweight test automation scripts, ensure end-to-end data quality for 3D spatial/point cloud and BIM outputs, and collaborate with engineering and data teams to resolve processing issues and improve pipelines.

Design, build, and maintain data ingestion pipelines and integrations from intermittently-connected robots to analytics, ML training, and operations. Implement SDKs, connectors, schema contracts, retries, backfills, monitoring, and optimize pipeline performance, scalability, and cost. Collaborate with robotics, autonomy, and deployment teams to ensure reliable end-to-end data delivery and quality.

Build and operate the cloud foundation for the data platform: design compute, storage, and networking; manage IaC and GitOps; provision for large-scale sensor and ML workloads; own reliability, security, observability, cost management, and internal tooling to enable pipeline and analytics teams.

Design and build a scalable data platform and tooling for robotics/autonomy data ingestion, integration, and delivery. Build SDKs, connectors, and APIs (REST/gRPC, webhooks, CDC) to integrate diverse sources and downstream ML/BI systems, ensure schema/versioning/reliability, and optimize pipeline performance, scalability, and cost.