JADS: Machine Learning Engineer AI Supercomputing Initiative Brabant (1 fte)
Eindhoven University of TechnologyNetherlands4 days ago
Full-timeInformation Technology
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Introduction
Do you want to apply your machine learning expertise to real-world challenges, working directly with companies on advanced AI solutions? As a Machine Learning Engineer, you will collaborate with organizations in Brabant to design, optimize, and scale AI workloads on state-of-the-art high-performance computing infrastructure. If you enjoy translating complex business and technical questions into robust, high-impact AI solutions in an international and interdisciplinary environment, we would like to meet you.
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.
The AI Supercomputing Initiative Brabant is designed as an ambitious multi-year program running until December 31, 2027. The steering committee will decide on a possible continuation of the initiative.
Job Description
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
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.
Requirements For The Job Are
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
About Us
Eindhoven University of Technology is a leading international university within the Brainport region 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.
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 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.
Information
We would like to point out that the selection committee for this vacancy will consist of representatives from the four collaborating organizations within this initiative.
Do you recognize yourself in this profile and would you like to have more information about the position, please contact the hiring manager Sandor Schmikli, Area Lead Research, [email protected].
For questions about the application process or the conditions of employment, please contact Baukelien van de Kamp, Clusterlead HR ([email protected] or Ivo Uitdenbogaart, HR Advisor ([email protected]).
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
If you are interested, please use the ‘apply’ button to send us your CV and letter of application with your motivation and a description of your qualifications. Ensure that you submit all the requested application documents. We give priority to complete applications.
Screening of candidates begins as soon as applications are received and continues until the position is filled. Where applicable, internal candidates will be given priority over external candidates where they are equally suitable.
We look forward to receiving your application!
Please note
Do you want to apply your machine learning expertise to real-world challenges, working directly with companies on advanced AI solutions? As a Machine Learning Engineer, you will collaborate with organizations in Brabant to design, optimize, and scale AI workloads on state-of-the-art high-performance computing infrastructure. If you enjoy translating complex business and technical questions into robust, high-impact AI solutions in an international and interdisciplinary environment, we would like to meet you.
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.
The AI Supercomputing Initiative Brabant is designed as an ambitious multi-year program running until December 31, 2027. The steering committee will decide on a possible continuation of the initiative.
Job Description
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
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.
Requirements For The Job Are
- 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
- 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
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
- A monthly salary of minimum €3,546 to maximum €6,433 for full-time employment, depending on your knowledge and experience (scale 10 or 11 collective labour agreementfor 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.
About Us
Eindhoven University of Technology is a leading international university within the Brainport region 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.
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 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.
Information
We would like to point out that the selection committee for this vacancy will consist of representatives from the four collaborating organizations within this initiative.
Do you recognize yourself in this profile and would you like to have more information about the position, please contact the hiring manager Sandor Schmikli, Area Lead Research, [email protected].
For questions about the application process or the conditions of employment, please contact Baukelien van de Kamp, Clusterlead HR ([email protected] or Ivo Uitdenbogaart, HR Advisor ([email protected]).
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
If you are interested, please use the ‘apply’ button to send us your CV and letter of application with your motivation and a description of your qualifications. Ensure that you submit all the requested application documents. We give priority to complete applications.
Screening of candidates begins as soon as applications are received and continues until the position is filled. Where applicable, internal candidates will be given priority over external candidates where they are equally suitable.
We look forward to receiving your application!
Please note
- You can apply online. We will not process applications sent by email and/or post.
- 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 ([email protected]) before applying to check your eligibility and to receive further guidance.
- Please do not contact us for unsolicited services.
Key Skills
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