Research Engineer in Machine Learning for Systems

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Interdisciplinary Centre for Security, Reliability and Trust ( SnT ) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.

We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.Welook forresearchers from diverse academic backgrounds to contribute to our projects in areas such as : Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

Your role

The University of Luxembourg is seeking a passionate and entrepreneurial Research Engineer to join a cutting-edge applied research initiative funded by the FNR JUMP programme at the SnT research centre and to join SEDAN group ( https : / / / snt-en / research-groups / sedan ). The successful candidate will work closely with the project lead and team to explore and commercialize innovations at the intersection of AI systems and machine learning, with a goal to spin out a deep-tech startup.

This is a unique opportunity for someone with both technical expertise and startup ambitions to be part of a venture creation process grounded in world-class research. You will play a central role in building and scaling ML-based systems using modern AI technologies and frameworks.

Moreover, this role is a unique chance to work on transformative AI technologies with the support of SnT\’s leading infrastructure and ecosystem, to have a c lose collaboration with experienced researchers and entrepreneurs and it is also t he opportunity to co-found a startup and play a leadership role in its technical and business development with a ccess to state-of-the-art compute resources, funding, and mentorship

Your Responsibilities :

• Lead the design, development, and optimization of scalable AI inference pipelines
• Implement and experiment with LLMs, GNNs, multi-modal AI, and vision models
• Apply techniques such as quantization, pruning, distillation, sparsity, and parallelism to improve model efficiency
• Work with deployment tools such as ONNX, TensorRT, cuDNN, vLLM, and SGLang for fast and reliable inference
• Design and scale infrastructure on cloud platforms such as AWS, Azure, or GCP
• Collaborate in both academic and entrepreneurial directions – preparing publications, prototypes, and pitch decks
• Participate in strategy development for the formation and early growth of a spin-off company

Your profile

• A Master\’s degree or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field
• Strong experience in building and optimizing AI systems using PyTorch, TensorFlow, or JAX
• Practical knowledge of NVIDIA GPU programming (CUDA) and experience with inference toolchains
• Familiarity with distributed training / inference, AI system bottlenecks, and performance tuning
• Prior experience with cloud computing and AI system deployment in production settings
• An entrepreneurial mindset and desire to contribute to founding a startup based on the project\’s technology
• Excellent programming skills and ability to independently drive technical innovation
• Strong communication skills and fluency in English (written and spoken)

We offer

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the \“University of the Greater Region\“ (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs

How to apply

Applications should include :

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

The University of Luxembourg is committed to achieving gender parity among its staff. Should candidates present equivalent profiles, preference will be given to female candidates in all departments where gender parity is not yet achieved.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

General information :

• Contract Type : Fixed Term Contract 12 Month
• Location : Kirchberg Campus
• Internal Title : Research and development specialist
• Job Reference : UOL07554

Machine Learning Engineer • Biesdorf, DE

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