Scientific Programmer - GenAI

Stcorp; Eindhoven; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

AtS&T in Eindhoven seeks a Scientific Programmer to advance GenAI-enabled system and software engineering. You will build on research insights from collaborations with industry partners and lead GenAI-driven improvements across design, development and operations.

You will assess processes, propose methodological AI solutions, and deliver proofs of concept while guiding engineering teams on best practices and metrics for performance and value delivery in an industrial setting.

Qualifications

• Degree in CS, engineering, data science, or related field.
• Experience in GenAI areas: RAG, Agentic AI, GraphRAG.
• Strong understanding of system engineering and software lifecycle.
• Proficient in Python-based code architectures and AI applications.

Responsibilities

• Assess current engineering processes and identify GenAI integration opportunities.
• Develop methodological recommendations for GenAI solutions for design, development and operations.
• Work with research teams to deploy techniques in an industrial environment.
• Develop proofs of concept and prototype scenarios, showing value and constraints.
• Provide expert guidance on GenAI best practices to engineering teams.
• Monitor and evaluate GenAI implementations for continuous improvement.

Skills

GenAI concepts

Python programming

Communication

Collaboration

System engineering understanding

Education

Bachelor's degree in Computer Science, Engineering, Data Science

Tools

Docker

Databricks

Azure

Job description

Weare currently looking for aScientific Programmerto 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.