Dexterity provides full-stack AI warehouse robotics — hardware, software, deployment and Robots-as-a-Service — using computer vision, force and touch perception to automate pick-pack, sorting, and onsite integration.
About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked over 15 million goods in production. And did we mention we’re customer-obsessed? Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! About the Role You will join as a Controls Engineer within Dexterity’s Product Engineering Team, contributing to the development of embedded systems that power our robotic platforms. This role sits at the intersection of hardware, software, firmware, motion control, and system-level integration. You will collaborate closely with electrical, mechanical and software engineers to help bring robots from prototype to production and support the architecture for motion, safety, and communications. The ideal candidate brings strong mechatronics fundamentals, hands-on controls experience, and a system-level understanding of embedded hardware and software integration in the context of robotics.