AI Software Engineer – Semiconductor R&D | Python, GenAI
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AI & Software Solutions Engineer
to join a semiconductor R&D environment and develop production-quality software, data solutions and AI-powered applications that help engineering teams work smarter and faster. In this role, you will work at the intersection of
software engineering, AI, data and semiconductor manufacturing , contributing to the evolution of a
Manufacturing Execution System
and the broader R&D software ecosystem. What you’ll do Develop scalable
software applications, services and automation solutions
for semiconductor R&D and manufacturing. Contribute to the evolution of
MES platforms
and tools supporting process-flow definition, execution and reporting. Build applications and services on top of an
enterprise R&D Data Platform . Design and implement
AI agents, copilots and GenAI solutions
that support engineering teams. Apply technologies such as
LLMs, RAG, machine learning and advanced analytics
to real-world engineering challenges. Develop APIs, data integrations and cloud-based solutions following modern software engineering practices. Collaborate closely with software engineers, data specialists and semiconductor process engineers. What you bring Master’s degree in
Computer Science, Software Engineering, AI, Data Science
or a related discipline. 4–8 years of relevant experience
in software engineering, AI/ML, data engineering or a related field. Strong experience developing
production-quality software . Excellent
Python
skills or strong experience with a comparable programming language. Practical experience with
Generative AI, LLMs, AI agents, RAG, machine learning or advanced analytics . Knowledge of
databases, APIs, cloud technologies and data engineering . Strong understanding of modern software development practices. Fluent
English , both written and spoken.
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