Scientific Programmer - GenAI in Eindhoven

Weare currently looking for a Scientific Programmer to join theteamin

Eindhoven .

As a Scientific Programmer, you will have the unique opportunity to raise systems engineering competencies in the high-tech industry to a higher level by building on the knowledge and insights generated through research projects in collaboration with other (industry) partners.

If you are passionate about leveraging generative AI (LLM) to revolutionize system and software engineering, we are looking forward to hearing from you!

You will

conduct assessments

of current engineering processes and

identify opportunities to integrate GenAI .

You will develop and present

methodological recommendations for generative AI solutions

that enhance system and software design, development, and operational efficiency, while working in

close collaboration

with other research teams to deploy these techniques effectively in an

industrial environment .

You will work inthe research line System Architecting and Engineering Methodologies, investigating the development of

digital engineering assistants , using Generative AI-based techniques. This will empower professionals to achieve faster data-to-insights in quality and knowledge management processes.

You will

develop proofs of concept

to demonstrate the problem,

prototype different scenarios

for a solution, demonstrate the

value ,

constraints

and

benefits

of these solutions, and

help bring them into industrial practice .

You will

provide expert guidance

on generative AI best practices, tools, and methodologies to the engineering teams.

You will

monitor and evaluate the performance of GenAI implementations , offering insights for continuous improvement.

You will stay abreast of emerging generative AI trends and technologies, assessing theirpotential impact on future projects.

Requirements

You have a

degree

in Computer Science, Engineering, Data Science or a related field.

You have experience in at least one of the following Gen AI areas:

Retrieval-Augmented Generation (RAG)

with hybrid and multimodal retrieval.

Agentic AI for autonomous reasoning.

Graph-based knowledge integration ( GraphRAG ).

You have a strong

understanding of system engineering principles

and

software development lifecycle.

You are proficient in

designing and implementing end-to-end AI applications , including

infrastructure setup

using

Docker

and

cloud platforms

( Databricks

and

Azure

are an preferable).

You have experience

developing and maintaining Python-based code architectures

while adhering to best practices.

You have experience in

designing and implementing evaluation frameworks for AI systems .

You have effective

communication

and

collaboration

skills, with experience working in multidisciplinary teams and

explaining complex AI concepts

to various stakeholders.

Please note that if you do not hear back from us within 10 days of your application, you may assume that we have selected another candidate we would like to interview for this position. We do our best to get back to you individually; however, due to a high volume of responses, it can be that we have not been able to reject your application in person.

AtS[&]T we contribute to a safer life on earth by translating space data intovaluable and actionable insights. We oversee data from instruments to application,and apply our expertise within our softwareframeworks, information products and consultancy.

Our society relies on space and scientific instruments forclimatechange monitoring, navigation, defence and national security, and other crucialservices we all use in our daily lives. These instruments produce an enormousquantity of complex data, and our goal is to unlock its value.

We have more than 20 years of experience working oninstrumentcalibration, the creation of data quality monitoring tools, the development of real-timedata processing frameworks, and the development of application-specificalgorithms. With this, we help organisations, governments and industries tostrengthen their information position and thereby improve their decision making.We focus on the following domains: Space & Science, Defence & Security,Environment & Sustainability, and High-Tech Consulting.

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