Das ist der Job
Minimum Qualifications University degree in Computer Science, Electrical Engineering or related field.
Darum lohnt es sich
Responsibilities Architect and implement agentic AI solutions for semiconductor applications Develop multi-agent systems that collaborate across semiconductor domains Integrate reasoning, planning, and reinforcement learning into AI workflows Collaborate with hardware, software, and data teams to ensure seamless deployment, usability and user-experience Continuously evaluate emerging technologies in agent-based AI and apply them to real-world semiconductor challenges.
Min. 5 years of total post-graduation working experience in software engineering, preferably including Machine Learning and Deep Learning. Min. 5 years in AI/ML development, with strong exposure to agent-based systems or reinforcement learning, having designed, evaluated, deployed, and monitored such applications.
Proficiency in key programming languages and APIs such as Python, JavaScript, Angular/Vue, C/C++, PyTorch. Experience developing web-based front-ends. Understanding of cloud platforms and MLOps for scalable AI deployment. Understanding of semiconductor manufacturing processes and data pipelines is a plus.
Experience with LLM pre-training is optional, but a significant advantage. Strong communication skills and abili
