Senior ML Engineer

Societal challenges demand new knowledge. It is the task of the TU/e to develop this knowledge by adapting and changing research and education. At Library and Information Services (LIS) we look ahead, together with our scientists and students, and constantly provide the best possible library and information services to enable the creation of this new knowledge.

The Eindhoven University of Technology is a place that combines scientific curiosity with a hands-on mentality. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. Our campus is at the center of one of the most powerful technology hubs in the world: Brainport Eindhoven, an area that is about to grow exponentially.

The Supercomputing Centre of the Eindhoven University of Technology support researchers, students and industry partners with computational needs. It has local and cloud solutions but also uses national and international computing facilities. Recently a revolutionary AI facility has been setup, the first of its kind in Europe.

The position
We are looking for an experienced Machine Learning Engineer to strengthen our AI support unit. You will collaborate closely with researchers across disciplines of all faculties and industry partners, helping them to translate their scientific domain questions into computational needs. We bring their AI workloads to production, optimize training performance, and scale efficiently on our high performance computing platforms, including the “state of the art” NVIDIA DGX cluster called SPIKE-1.

As part of the AI team embedded in the university’s Supercomputing Centre, your work will directly support academic excellence and socially relevant research, contributing to the development and deployment of scalable, efficient, and reproducible AI workloads.

The job entails:

• Collaborate with research groups to co-design, optimize, and scale AI workloads
• Profile and optimize GPU-based training workflows
• Support deployment and management of AI models in production environments
• Provide expert support for using our DGX system and the NVIDIA AI Enterprise stack
• Onboard researchers, students and industry partners on our AI/HPC platforms and teach them how to use these platforms
• Give courses about ML/DL engineering
• Translate technical details to solution architecture

Your profile

You are a skilled Machine Learning Engineer with a strong background in optimizing and deploying AI workloads in HPC or cloud environments. You thrive in a collaborative, innovation-driven setting and enjoy translating complex computational needs into robust, scalable solutions. You are actively involved in the ML community and enjoys exploring cutting edge technologies.

Required

• Proven experience with machine learning and deep learning practices
• Ability to turn research models into robust, production-ready endpoints
• Affinity with academic research and interest in supporting scientific innovation
• Experience working with HPC and/or AI platforms

Preferred

• Experience profiling GPU workloads and optimizing AI code for performance on HPC systems
• Hands-on experience with NVIDIA DGX systems
• Familiarity with NVIDIA AI Enterprise software (e.g., Triton, NGC, CUDA, DALI, NIM, NEMO, etc.)
• Experience with NVIDIA Run AI or similar orchestration tools.
• Experience with Kubernetes for ML/DL workloads
• Strong knowledge of containerization

Conditions of employment

An exciting position within an international yet personal university. You are right in the middle of the students, on a green campus within walking distance of the central station. Besides beautiful architecture, you will find varied workplaces and excellent sports facilities. We also offer you:

• The position comes with the chance to learn and grow in your role and cooperate with other talented people who challenge you every day;
• A monthly gross salary of minimum €3.378.- to maximum €5.331,- for full-time
  employment, depending on your knowledge, proven experience and level of education
  (salary scale 10 collective labor agreement for Dutch Universities).
• In addition to vacation pay, a structural end-of-year bonus of 8.3%. A favorable arrangement for more holidays or a sabbatical.
• A selection model for additional fringe benefits.
• Working hours in consultation for an optimal work-life balance. Scope for your talent with advancement prospects and excellent development opportunities such as mentoring, workshops and coaching.
• Partially paid parental leave and reimbursement for commuting expenses, working from home and the internet.
• A generous employer contribution to the favorable ABP pension plan

Information and application
Send your CV and cover letter telling us why you’re made for this.

Interested candidates are encouraged to apply using the ‘apply now’-button.

The selection of applicants and the job interviews will start immediately when we find enough suitable candidates. Acquisition as a result of this advertisement is not appreciated.

Eindhoven University of Technology is a leading international university that educates engineers of the future and pushes the boundaries of science and technology for a better world. An international community of close to 7,000 employees and 13,000 students work and study on the vibrant and inspiring campus.

Type of employment: temporary employment with possibility of permanent employment | Contract type: unknown | Number of positions: 1 | Full-time equivalent: 0.8 – 1.0 FTE | City: Eindhoven | County: Noord-Brabant | Country: Netherlands | Reference number: 2025/314 | Published: 2025-07-02 | Last application date: 2025-08-02