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.

Responsibilities

• Design, build and deploy autonomous robotic systems. 
• Develop planning, perception and control systems using modern machine learning and robotics techniques.
• Research and implement state of the art approaches in embodied AI, transformer architectures, reinforcement learning and robot learning.
• Integrate sensors, actuators, perception systems and control frameworks into robust production systems.
• Help define the long term technical direction of Fuse's robotics programme.

Requirements

• Strong experience building and deploying robotic systems in real-world environments
• Expertise in C++
• Experience with robotics frameworks such as ROS2
• Strong understanding of motion planning, robot control, computer vision and perception systems
• Experience training and deploying machine learning models
• Familiarity with transformer architectures, reinforcement learning, imitation learning or robot learning techniques
• Strong problem-solving skills
• Comfortable working in a fast-moving startup environment
• Bonus: 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 automation

Benefits

• Competitive salary and eligibility for equity
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Private health insurance
• Breakfast and dinner allowance for office-based employees

As we hire globally, benefits vary by location.