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Develop and optimize mapping and localization systems for robots, improve accuracy and performance of point cloud processing, and support collaborative efforts across robotics teams.

As a DevOps Engineer, you will design and maintain the infrastructure supporting CI/CD pipelines, work with container orchestration tools, and collaborate with engineering teams to improve development workflows.

The Software Engineer, Test Infrastructure will design and develop scalable test infrastructure, improve software quality, and automate testing processes for robotics platforms.

Review and QA/QC BIM models produced from point-cloud and reality-capture data, validate accuracy against scans and drawings, identify modeling issues, produce actionable reports, and help develop automated scripts, rules, and scalable workflows to streamline scan-to-BIM processes.

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.

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

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.

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.

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

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.