Machine Learning Engineer (1 fte) AI Supercomputing Initiative Brabant

We are looking for a Machine Learning Engineer to strengthen our AI support unit. You will collaborate closely with companies in this two-year project, helping companies translate their business questions into computational needs. We optimize their AI workloads on our NVIDIA DGX cluster called SPIKE, which includes optimizing training performance efficient scaling. If this collaboration is successful, there will be opportunities to continue working in this role together with the Brabant companies.

The job entails:

• Collaborate with companies in the Brabant province to co-design, optimize, and scale AI workloads
• Translate technical details to AI solution architecture
• Profile and optimize GPU-based training workflows
• Provide expert support for using our DGX system and the NVIDIA AI Enterprise stack
• Give courses and presentations about ML engineering and the use of the SPIKE cluster in the Brabant AI community, * A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Important for non-EU applicants: Please be aware that for this position, specific residence permit requirements apply. If you are a non-EU national, you may not be eligible to legally work in this role under current Dutch immigration regulations. We strongly advise you to contact our Staff Immigration Team (staffimmigration@tue.nl) before applying to check your eligibility and to receive further guidance.
• Please do not contact us for unsolicited services.

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 enjoy exploring cutting edge technologies., * Proven experience with machine learning and deep learning practices

• Ability to turn AI models into robust, near production-ready endpoints
• 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 workloads
• Strong knowledge of containerization
• Experience with non-academic/commercial projects

Pulled from the full job description

• Sabbatical
• Pension plan, * A monthly salary of minimum € 3,546 to maximum € 6,433 gross for full-time employment, depending on your knowledge and experience (scale 10 or 11 Collective Labour 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.
• Unlimited access to the modern on-campus TU/e Student Sports Center at an exceptionally affordable rate.

As one of the largest and most dynamic academic communities in the Netherlands, the department Mathematics and Computer Science (M&CS) brings together more than 140 scientific staff, over 250 PhD and EngD candidates, and more than 3000 students. We collaborate closely with leading industrial partners in the Brainport Eindhoven region and with universities across the globe-creating a uniquely fertile environment for both fundamental breakthroughs and applied innovation., Artificial Intelligence is a key enabling technology for economic growth and societal progress, and a critical driver of transformation across industries, food systems, healthcare, energy, and security. Regions that invest early in high-quality computing infrastructure, talent development, and robust innovation ecosystems will define the competitive landscape of the future. Brabant benefits from excellent universities and universities of applied sciences, a strong technology-driven business community, and a favorable investment climate. However, significant potential remains untapped. By making targeted investments in High-Performance Computing and the development of applied AI expertise, the region can advance toward the level of Europe's leading regions, further leverage its economic strengths, and position itself as a prominent AI hub. To accelerate this ambition, Eindhoven University of Technology, Tilburg University, JADS the Province of North Brabant, and the Brabant Development Agency (BOM) have joined forces in the AI Supercomputing Initiative Brabant (AI-SIB). This initiative provides Brabant-based companies, knowledge institutions, and public organizations with access to large-scale computing power and the associated expertise., We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact - today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community. Our university is located in Brainport Eindhoven - a world-leading tech region with more than 7,000 high-tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here. The Supercomputing Centre of the Eindhoven University of Technology supports researchers, students and industry partners with computational needs. Both local and cloud solutions (national and international), as well as our own state-of-the-art AI cluster (NVIDIA DGX B200 technology) are available. We will now also start supporting companies to develop their AI products. In this project we collaborate with the Brabant Province, the Brabantse Ontwikkelings Maatschappij (BOM) and the Tilburg University.