Computational/AI Imaging and Sensing R&D Engineer

Location: Kgs. Lyngby, Denmark

NIL Technology is a leading manufacturer of micro-and nanostructured optical components and systems. Metaoptics offers new possibilities for optical system performance when combined with optical sensors and emitters.

We are seeking a systems-oriented computational imaging engineer with expertise in applying computational or AI-based algorithms to enhance images or enrich sensor outputs, particularly within meta-optics-based imaging or sensing systems. The focus of the position is both to enhance existing systems and to advise new concepts where the optics and algorithms are co-optimized to give superior or new functionality.

The ideal candidate has experience with optical sensor and camera systems, where computational or AI post-processing of raw data is an integrated part. Further, experience in co-optimizing optics, electronics and computational algorithms and familiarity with the latest advancements in computational imaging and camera and optical sensor algorithms is anticipated.

The work involves suggesting and developing computational/AI algorithms; calibrating and training the algorithms based on experimental data; specifying the needed data; developing new concepts and co-optimize systems. There will be a close collaboration with the element and module design teams as well as experimental teams for building test and demonstrator systems and for performance characterization and generation of input data for the models.

We expect you to have a keen eye for innovation and the drive for defining the future of camera and optical sensing technologies. At NIL Technology, you’ll be diving into the world of wafer-level optics, playing a pivotal role in demonstrating performance of the system architectures for our cutting-edge meta optical elements (MOE), and camera and projection modules.

You will be part of a company that offers a fast-moving and busy work environment, where all opinions are valued together. We have a strong team spirit and a profound “we win, and we lose together” attitude which we value and culture. Read more at www.nilt.com/join-us.

Responsibilities and Duties

• Creating and optimizing algorithms for processing, enhancement, and reconstruction of images and other sensor output
• Implementing machine learning and AI techniques to improve quality and extract meaningful data from images or other optical sensor outputs
• Working closely with experts in the Design and Optical Characterization Teams to develop and demonstrate new concepts
• Specify systems including requirements for test/training data and model development and training
• Stay updated on the latest advancements in computational imaging and camera and optical sensor algorithms including system architecture

Qualifications & Experience

• M.Sc. or PhD in physics, mathematics, optics, data science or similar
• Experience in computational imaging or similar field
• Hands-on experience in computer vision, machine learning, and AI as applied to imaging and sensing or similar
• Experience with optical sensors and camera systems, including post-processing of raw data
• Hands-on experience with computational and AI-based post-processing of raw data for system output
• Experience with building and training AI models
• Knowledge about imaging and optical sensors
• Proficiency in English is required

Other Skills

• Ability to work independently and focus on objectives and results
• Structured work approach and meticulous attention to detail
• Excellent communication and presentation skills to articulate results and challenges effectively
• Adaptability to a fast-paced work environment
• Creative and capable of suggesting new concepts

What NILT Offers

• A dynamic yet relaxed start-up work environment with flat hierarchies
• Opportunities for professional growth and skill development in a multidisciplinary environment
• Flexible working hours and a strong sense of team spirit

Applications should at least include a CV and a cover letter that outlines your motivation for applying and clearly demonstrates how your experience and interests align with the required qualifications.

We will evaluate applications as they are received, and we will be happy to receive your application as soon as possible and no later than 22nd June 2025.

Start date: as soon as possible

If you have any questions, please contact Ulrich Quaade at uq@nilt.com