Boston Dynamics

Lead the development and industrialization of software-driven manufacturing test systems for Boston Dynamics’ Atlas robots. This staff-level role combines test automation, robotics hardware integration, and factory reliability to support high-volume production.

Build real-time SLAM, state estimation, and 3D reconstruction systems that give humanoid robots grounded spatial understanding. The role combines robotics research, geometric perception, and VLM/VLA integration, with rapid testing on Atlas hardware.

Lead the development of advanced manipulation and control algorithms for Spot’s robotic arm, spanning force dynamics, inverse kinematics, path planning, and physical interaction. This staff-level role combines hands-on C++ development, hardware testing, and technical leadership across the manipulation stack.

Senior Consultant – Software Engineering develops customer-facing software integrations, tools, and frameworks that help Fortune 500 and other high-value customers deploy Boston Dynamics robotics products. The role combines hands-on software development, robotics systems expertise, technical consulting, and cross-functional delivery.

Build the tools and infrastructure that power Atlas’s end-to-end behavior cloning cycle, from robotics data collection and policy training through evaluation and diagnostics. This role combines robotics software, ML infrastructure, simulation, and internal platform development.

Own and scale the reinforcement learning stack that powers humanoid and quadruped robots, from massively parallel simulation through sim-to-real deployment. You’ll build production-grade research infrastructure and advance whole-body control and dexterous manipulation.

Build and evolve custom fleet management software that helps customers manage growing populations of Boston Dynamics robots. This full-stack role spans web applications, 3D visualization, mapping, imagery, and end-to-end product delivery.

Staff Perception Engineer focused on tactile sensing for robotic manipulation, developing high-bandwidth sensing pipelines and data representations that enable robots to perceive contact, force, and environmental interaction. The role combines embedded systems, signal processing, simulation, machine learning, and hands-on sensor experimentation.