Staff Engineer System Engineering Methodology iv)
Role details
Job location
Tech stack
Job description
- Automation programming for FPGA based workflows
- Be responsible for concept engineering modeling workflows
- Devise practical procedures utilizing Model Based Systems Engineering methods
- Utilize Python on a daily basis as main SW development eco system
- Highly contribute to the Infineon wide integration and deployment of system engineering methods
- Collaborate with internal and external stakeholders from global functions and departments
Requirements
Do you have experience in Systems engineering?, Do you have a Master's degree?, As a Staff Engineer System Engineering Methodology, you have a clear notion of how innovation contributes to the commercial success of the company. Furthermore, you anticipate even the future needs of customers and engage actively with the customer about these needs. Lastly, you cooperate across boundaries and appreciate the contributions of other people.
- M.Sc. in Electrical Engineering with a focus on embedded and computer system; Preferred experience in both HW, SW architecture and design and running and debugging applications of embedded systems
- At least 3 years work experience in semiconductor industry and digital design
- Deep technical knowledge in specifying, simulating, HW and SW
- Hands-on experience in RTL design and FPGA emulation as well as knowledge on analog circuit simulation in Matlab/Simulink/Plecs
- Experience in using LLM-technology in automating workflows
- Proficiency in Python, SystemVerilog, VHDL, C/C++, and confident in scripting using bash/tcsh and TCL
- Experience in giving presentations and contributing to discussions, and ability to explain technical concepts and dependencies
- Fluent in English and German
About the company
Ingenious Technologies is a leading independent marketing technology provider. With the cloud-based Ingenious Enterprise platform, companies across all industries can aggregate, structure, enrich and analyse all marketing data collected. Thanks to real-time processing and a high level of automation, reliable data sets are available for clients to make agile marketing decisions.