At Focused Energy, we are developing NeoLyte, a breakthrough initiative that pioneers compact, laser-driven radiation sources (LDRS) based on high-power laser technology. These dual-mode sources combine MeV X-rays and fast neutrons in a single system. The platform is modular and enables real-time, non-destructive inspection of materials, even when those that are complex or shielded.
NeoLyte’s technology addresses critical challenges across nuclear waste analysis, contraband detection, infrastructure inspection, and medical isotope production. With its unique combination of resolution, material specificity, and deployment flexibility, LDRS opens up new possibilities far beyond conventional systems.
We bring together a cross-disciplinary team of laser and plasma physicists, engineers, and AI experts. We are building our first pilot facility in Biblis (Germany), with the goal to reach market readiness and commercial deployment quite soon.
Be part of shaping this deep-tech venture from the ground up! We are seeking a Computer Vision Engineer with expertise in image reconstruction and machine learning to help turn complex data into actionable insights. You’ll work at the intersection of imaging, physics, and software-designing algorithms, training models, and deploying robust solutions that turn raw detector data into high-quality images for industrial applications.
What you’ll do:
Develop and optimize image processing pipelines for raw X-ray data, including denoising, artifact correction, and stitching.
Design and implement CT reconstruction algorithms (e.g., FBP, SART/SIRT) for high-performance tomography.
Build and deploy production-ready AI models for defect detection, segmentation, and material classification.
Define logic and functional requirements for automated control and stabilization using system data (e.g., laser diagnostics, tracking systems).
Validate algorithm and model performance under real-world conditions to meet industrial accuracy and reliability standards.
Integrate image analysis solutions with product hardware and software systems, defining robust APIs and data contracts.
Take ownership of project deliverables from experimentation through deployment, collaborating across disciplines to align with system-level objectives.
Who you are:
5+ years of hands-on experience in industrial-grade or medical image processing and algorithm development for real-world applications.
Strong knowledge of CT reconstruction techniques, raw detector data handling, denoising, artifact correction, and image stitching.
4+ years of experience with neural networks, including training and deploying deep learning models using PyTorch or TensorFlow.
Proven track record of deploying machine learning models (e.g., U-Net, YOLO) into production for inspection, segmentation, or classification tasks.
Proficiency in Python and modern MLOps tools for model versioning, testing, and deployment.
Experience leading your own projects, managing timelines, and aligning results to broader system integration goals.
Proficiency in English, Germany based preferred, ability to travel to Darmstadt (Hessia) on a regular basis.
What we offer:
Innovative Technology & Mission: Be part of a cutting-edge company working on groundbreaking research in clean energy and scientific discovery.
Career Development: We invest in our people. This is an opportunity to join an early, growing company at the forefront of new technology, where you’ll have the opportunity to develop and grow your career.
Collaborative Culture: Work with great people in a dynamic, international environment with top-tier scientists, engineers and professionals passionate about solving global challenges.
Ownership: Take ownership from day 1 and drive impact by making decisions, solving challenges and shaping the future of our company.
Your Success is our Success: We offer a competitive salary and company ownership in the form of stock options, giving you a direct stake in our success and ownership in what we build together.
Vacation Days: We support your work-life-balance by granting you 30 days of vacation per year.
Flexibility: We believe work should adapt to your life—not the other way around. That’s why we offer a hybrid setup, giving you the freedom to work from our office while also enjoying the flexibility to work from home when it suits you.
Snacks and Drinks: Our office fridges are never empty. Enjoy our healthy snacks and drinks. Our Darmstadt office even offers a subsidized canteen with delicious lunch options daily.
Retirement Plan: If you decide for a private pension plan, we will finance 15% on top of your monthly contributions.
Equipment: Choose between a state-of-the-art Windows or Apple Laptop. In addition, you will receive a keyboard, mouse and headset so you are fully equipped from day 1.
Events: We organize regular events to foster team bonding, encourage collaboration, and build a strong, supportive company culture. Connect with colleagues across departments, share ideas, and have fun together, both in and outside of the workplace.
Mobility with NAVIT: We partner with NAVIT to support your flexible commuting needs—whether it’s a public transportation ticket, taxi rides or car-sharing you choose what fits your lifestyle.
Fitness with Wellhub: We care about your health. Get access to a wide range of gyms, fitness studios and wellness services across Europe through our partnership with Wellhub.
Focused Energy is an equal opportunity employer committed to creating an inclusive environment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Pursuant to the San Francisco Fair Chance Ordinance, Focused Energy will consider for employment qualified applicants with arrest and conviction records.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits.
