#WeAreIn to create tiny chips and big careers. Curiosity drives progress. Will you drive it with us? As a PhD student at Infineon, you’ll collaborate with passionate minds, shape innovations that power tomorrow’s world, and build a career where your expertise truly makes a difference. Are you in?
As part of an industrial doctorate at Infineon, you will pursue a doctoral degree at a university while gaining professional experience at the same time - an ideal way to start your career. You will advance your research with us and benefit from our broad network of doctoral candidates as well as the expertise of a university. Mentorship is provided by both university professors and dedicated Infineon employees. The research will be carried out in cooperation with the Technical University of Munich under the supervision of Prof. Dr.-Ing. Ulf Schlichtmann. By 2030, a significant shortage of skilled design and verification engineers is expected. This shortage is further intensified by the increasing complexity of system-on-chips (SoCs), especially those based on RISC‑V, which are rapidly gaining adoption due to their open‑source nature and flexibility. As complexity rises, verification effort grows proportionally and can account for up to 60% of overall product development time. To reduce time‑to‑market while maintaining high quality and reliability, innovative solutions are needed to streamline verification processes. Artificial intelligence (AI), particularly generative AI (GenAI), has recently emerged as a promising driver of productivity improvements. In both academia and industry, developments such as agentic AI workflows have demonstrated the potential of AI to automate and enhance engineering processes. In the field of digital functional verification, AI has the potential to transform areas such as assertion generation, testbench generation, coverage closure, and bug detection. The scope of this doctoral thesis is to develop an AI‑based methodology aimed at increasing the productivity of verification engineers, specifically in pre‑silicon verification tasks. These include formal verification, Universal Verification Methodology (UVM), and related techniques. By integrating AI‑driven approaches into these workflows, the research aims to reduce verification effort, improve process efficiency, and help address the skills gap in this domain.
Rahel Tews
#WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game‑changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
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#J-18808-LjbffrVeröffentlichungsdatum:
24 Mär 2026Standort:
DresdenEinsatzort:
Dresden, GermanyTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Development & ITErfahrung:
2+ yearsArbeitsverhältnis:
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