Focused Energy is a fusion energy startup with the goal of generating unlimited clean energy to responsibly meet future global demand. The founders include two highly renowned scientists and a long-time entrepreneur and founder of several successful startups. With the use and commercialization of laser-induced inertial fusion, a clean and highly efficient power generation technology is coming within reach, suitable to ensure a secure and scalable future energy supply.
Our approach not only paves the way for renewable energy generation but also enables the creation of versatile and bright laser-driven radiation sources (LDRS). This novel and compact technology offers broad application fields and promises to transform conventional methods of non-destructive testing. With our laser-driven radiation sources, we tackle unresolved societal and technical challenges, such as making nuclear waste suitable for long-term storage, we enable our energy infrastructure to be ready for the transition to renewable energy and helping to prevent illegal smuggling across our borders. Our spin-off technology not only allows cost reduction in fusion technology but also the advancement of the necessary components. This accelerates the deployment of fusion reactors while simultaneously contributing to solving other pressing issues of our time.
We are seeking a skilled Controls Engineer to join our team and help us shape the future of energy.

• Develop and apply an advanced algorithm for optimizing laser-driven particle acceleration.
• Design and develop advanced feedback systems that receive detector inputs to control motors and optimize overall performance.
• Write and implement adaptive control software, ensuring dynamic response to varying conditions and seamless integration across multiple subsystems.
• Evaluate and configure hardware-software interfaces for robust control architectures.
• Design and implement AI networks and machine learning algorithms (e.g., rein-forcement learning, neural networks) to analyze and enhance system performance in real-time.
• Develop AI-based stabilization methods and integrate image recognition for closed-loop feedback systems.
• Design, build, and integrate electronic components in collaboration with electrical engineers (control boards, sensors, actuators) with the central control system.
• Collaborate with mechanical engineers to ensure hardware compatibility and smooth system communication.
• Participate in experimental campaigns to test, analyze, and refine feedback and optimization systems, implementing improvements based on real-world results.
• Be responsible for your own projects and communicate the results to the team