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Integrate new robot platforms into a fleet: build ROS/ROS2 abstraction layers, validate controls and navigation on legged and wheeled robots, perform sim-to-real testing (Isaac/Gazebo/MuJoCo), collaborate on electro-mechanical integration, run SIL/HIL validation, implement safety layers, and support field deployments and charging/docking infrastructure.

Design and bring up embedded compute platforms for humanoid robots, develop firmware, BSPs, and Linux kernel support, integrate sensors and actuators, ensure real-time communication and edge ML inference, and collaborate cross-functionally to deliver safety-conscious, SWaP-constrained backpack payloads.

Manage end-to-end supply continuity for robotics hardware: material planning, supplier negotiations, inventory optimization, production readiness, NPI support, vendor quality/RMA handling, asset tracking, and cross-functional alignment to meet production and delivery schedules while controlling cost and risk.

Design and build distributed ML infrastructures to optimize data processing, model training, and evaluation among teams.

Join FieldAI's Boston R&D team to research and develop field-ready, risk-aware AI for robotics. Work on perception, planning, localization, and manipulation with emphasis on safety, explainability, and real-world deployment, iterating from field data and collaborating across teams.

Design and build scalable full-stack web applications, develop backend services with Node.js and Python, and create responsive frontends with React. Collaborate with cross-functional teams to deliver customer-facing features and improve system performance.

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.