Principal Engineer Device Modeling and Characterization

As a Principal Engineer Device Modeling and Characterization on our Research & Development team, you will be responsible for electrical measurements of device characteristics on wafer level, extraction of spice level simulation models, and fitting model parameters to measurement data. You will ensure quality assurance and documentation, and act as a key interface between external foundries, EDA vendors, technology development, and product development teams for modeling topics, especially noise modeling. This role involves being a technical expert in noise device modeling and developing new measurement and parameter extraction methods.

Must Have

• Electrical measurements of device characteristics on wafer level for semiconductor devices
• Extraction of spice level simulation models from parameter measurements
• Fitting model parameters to measurement data
• Quality assurance and documentation in compliance with ISO 9001 standards
• Extraction of nominal modeling and corner modeling from device characterization and process control monitoring data
• Key interface between external foundries, EDA vendors, technology development, and product development teams for modeling topics, especially noise modeling
• Key technical expert for all noise device modeling topics
• Training of peers on noise characterization and modeling methodologies
• Development of new methods for measurement and parameter extraction for all noise aspects
• Degree in Electrical Engineering, Microelectronics, Physics or a related field
• At least 10 years of working experience in semiconductor technologies, compact modeling, device characterization, and SPICE models development
• Knowledge of DC and CV measurement systems
• Strong background in probabilities, statistics, and noise modeling (especially RTN)
• Python programming skills
• Good understanding of technology processes, PDK development, and design flow
• Fluent English skills

Good to Have

• Knowledge of WaferPro Express and ICCAP software
• Knowledge in the field of machine learning and artificial neural network
• German language skills

Perks & Benefits

• Career development & learning: About 17,000 free LinkedIn Learning courses in 10 languages, Mentoring & Coaching programs, Global Onboarding process as well as Virtual & f2f trainings
• Time & flexibility: Flexible working hours & part-time work, Mobile work (specifications based on job profile and local requirements), Remote work from abroad / Workation (EU), Sabbatical (EU)
• Health & wellbeing: Health activities & programs, Health & Well-being LinkedIn Learning Journey, Health & Well-being Community
• Your working environment: Employee events, Open & global community e.g. cross-site exchange through the virtuality of all meetings, Open office spaces
• Rewards & benefits: Fair and transparent remuneration, Success participation, Performance-related recognition, customised benefit packages

Job Description

In your new role you will:

• Electrical measurements of device characteristics on wafer level for semiconductor devices
• Extraction of spice level simulation models from parameter measurements
• Fitting model parameters to measurement data
• Quality assurance and documentation in compliance with ISO 9001 standards
• Extraction of nominal modeling and corner modeling from device characterization and process control monitoring data
• Key interface between external foundries, EDA vendors, technology development, and product development teams for modeling topics, especially noise modeling
• Key technical expert for all noise device modeling topics
• Training of peers on noise characterization and modeling methodologies on various device types (LDMOS, FET transistors, etc)
• Development of new methods for measurement and parameter extraction for all noise aspects

Your Profile

You are best equipped for this task if you have:

• A degree in Electrical Engineering, Microelectronics, Physics or a related field
• At least 10 years of working experience in semiconductor technologies, preferably in compact modeling related subjects, like device characterization and SPICE models development
• Knowledge of DC and CV measurement systems. Knowledge of WaferPro Express and ICCAP software is a plus
• Strong background in probabilities & statistics and noise modeling (especially RTN)
• Python programming skills; knowledge in the field of machine learning and artificial neural network is a plus
• Good understanding of technology processes, PDK development and design flow
• Fluent English skills, German is a plus

#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.

Are you in?

**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. We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.

Driving decarbonization and digitalization. Together.

_Cypress Semiconductor Corporation, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.

Employment at Infineon is contingent upon proof of your legal right to work in the United States under applicable law, verification of satisfactory references and successful completion of a background check and drug test, and signing all your on-boarding documents.

In some instances, if applicable, U.S. export control laws require that Infineon obtain a U.S. government export license prior to releasing technologies to certain persons. This offer is contingent upon Infineon's ability to satisfy these export control laws as related to your employment and anticipated job activities. The decision whether or not to submit and/or pursue an export license to satisfy this contingency, if applicable, shall be at Infineon's sole discretion._

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