Robotics Engineer

Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system.We've raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber.We're building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes. By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers.We're looking for an exceptional Robotics Engineer to build autonomous robotic systems in real-world environments. This role sits at the intersection of robotics, machine learning and systems engineering. You'll work across the full stack, from research, planning and control systems through to deployment, and should be equally comfortable in research, training machine learning models and delivering a robot to the field.ResponsibilitiesDesign, build and deploy autonomous robotic systems. Develop planning, perception and control systems using modern machine learning and robotics techniquesResearch and implement state of the art approaches in embodied AI, transformer architectures, reinforcement learning and robot learningIntegrate sensors, actuators, perception systems and control frameworks into robust production systemsHelp define the long term technical direction of Fuse's robotics programmeRequirementsStrong experience building and deploying robotic systems in real-world environmentsExpertise in C++Experience with robotics frameworks such as ROS2Strong understanding of motion planning, robot control, computer vision and perception systemsExperience training and deploying machine learning modelsFamiliarity with transformer architectures, reinforcement learning, imitation learning or robot learning techniquesStrong problem-solving skillsComfortable working in a fast-moving startup environmentBonus: embodied AI or robotic foundation models; publications or significant contributions in robotics or machine learning; manipulation, mobile or industrial robotics; taking robotics products from prototype through deployment; interest in energy and industrial automationBenefitsCompetitive salary and eligibility for equityBiannual bonus schemeFully expensed tech to match your needsPrivate health insuranceBreakfast and dinner allowance for office-based employeesAs we hire globally, benefits vary by location.