Senior Computer Vision Engineer

NOTE WE ONLY DO DIRECT HIRES AND DO NOT USE RECRUITERS

Senior Computer Vision Engineer (Team Lead)

LMO is a Space company based in Luxembourg and with operations in the UK, developing subsystems for the Small Satellite & In-Orbit Servicing and Manufacturing (IOSM) market. LMO is involved in the design, development, verification, build, test, and operation of its space-borne subsystems and collaborates with major research and industrial players in the fields of AI, Computer Vision, GNC and propulsion technologies.

Job Location & Type

Technoport, Esch-sur-Alzette, Luxembourg.

Full Time Employment

Position Summary

The Senior Computer Vision engineer shall be a seasoned professional with in-depth experience solving engineering problems using computer vision technology, so they can understand space-related vision problems and propose the best approach to take. The candidate shall have a profound understanding of the context of applications (software, technology where the application will be embedded) as well as an understanding of the engineering cycle for its development (prototyping, validation, qualification, verification, etc.) and use this to architect not only the required solutions but also the strategy for its development and deployment. The successful candidate will be working in an interdisciplinary team. The main responsibilities include:

· Serving as the technical expert in the Computer Vision team, with ability to technically lead solutions in this domain,

· Architecting computer vision solutions (algorithms trade-offs, design, selection) and their implementation into embedded space electronics (working with a Flight Software and Hardware Engineers)

· Support various programmes (civil and defence) in the role of CV lead

· Mentoring younger engineers in this discipline

· Lead decisions in advanced applications such as domain adaptation techniques, fusion, etc.

· Implementing best practices, and quality assurance processes within the CV disciplines.

· Participating in reviews, and interfacing with customers in different projects.

We are looking for an engineer with sound science foundations, who understands the fundamental science, technology and implementation of computer vision solutions. We offer a stimulating multi-disciplinary environment and interesting projects to grow your career while contributing to the future of space industry.

Experience & Qualifications Required

· Proven experience in solving complex problems using computer vision principles in a relevant industry (6 years of experience minimum)

· High level of autonomy and strong initiative.

· Experience in using classical (e.g. OpenCV) computer vision algorithms (e.g. filters/kernels, morphological transform, edge detection, etc) applied to concrete problems.

· Experience in using traditional ML algorithms (both supervised and unsupervised) such as GB, RF, SVM, DBSCAN.

· Experience in using advanced DL algorithms such as CNNs, ViT, etc, applied to Computer Vision problems

· Experience in the full lifecycle of computer vision algorithms (trade-offs, selection, training, testing and validation).

· Hands-on experience in data management for machine learning processes: configuration control, experiments tracking, data manipulation, etc in ML frameworks.

· Proficiency with PyTorch and/or Tensorflow as well as hands-on experience with python, computer vision and scientific libraries such as OpenCV, scikit, pandas, scipy, etc.

· Proficiency in git and git workflows.

· Good knowledge of the fundamental optical concepts underpinning computer vision discipline: optics (basic), image formation, image manipulation, radiometry, etc.

· Good understanding of detectors electro-optical properties and managing images at pixel level.

Assets (not essential, but nice to have)

· Knowledge of MLOps processes

· Experience with high-performance computing environments

· Knowledge of ETL/ELT processes and data engineering principles (e.g. EDA)

· Knowledge of data analysis algorithms such as time series, clustering, etc.

· Knowledge of statistical analysis and principles e.g. hypothesis testing

· C++ programming

· Familiarity with Gitlab

· Familiarity with 3D modelling principles and use of industry standard SW (e.g. Blender)

· Familiarity with AI Act and responsible AI use.

· Awareness of explainability issues using DL and theoretical understanding of ways to tackle (e.g. surrogate model building)

· Familiarity with thermal infrared sensors

Salary Information

For this role the base salary expectation, depending on experience, is between 90,000 and 120,000 EUR per annum for a 40-hour work week. This includes 26 days annual leave.