• Defineverification concepts, strategies and measurable plans fordigital IP, subsystems and SoC projects
• Develop and maintain SystemVerilog and UVM verificationenvironments, reusable components and Verification IP
• Create verification specifications, test scenarios, assertions,coverage strategies and closure criteria
• Apply constrained-random, metric-driven and formalverification techniques to validate complex designs
• Lead methodology capabilities including roadmap definition, requirements,implementation, documentation, enablement, adoptionand continuous improvement
• Evaluate and apply AI-based methodologies for verification planning,test generation, debug, coverage analysis, knowledgereuse and workflow automation
• Collaborate with concept, design, application engineeringand methodology teams to communicate technical direction, status,risks and quality metrics

Your profile

Youare a collaborative problem solver who communicates clearly and thrives incross-functional environments. You combine a structured, analytical mindsetwith a passion for enabling others through robust methodology and automation

• Mandatory: Bachelor’s or Master’s degree inElectrical Engineering, Computer Engineering, Computer Science or a relatedfield, or equivalent practical experience
• Mandatory: Demonstrated experience in digital verificationand verification methodology development for complex IP, subsystems orSoCs
• Mandatory: Expert knowledge of SystemVerilog and UVMwith a strong understanding of digital design, verificationarchitectures and constrained-random techniques
• Mandatory: Proven ability to develop verification environmentsand reusable assets including specifications, assertions, coveragestrategies and Verification IP
• Mandatory: Strong analytical and debugging skills with theability to provide technical direction and collaborate across globalcross-functional teams; English: Written and spoken
• Preferred: Experience with formal and assertion-basedverification, firmware-driven verification, microcontroller-basedICs or automotive, safety or security requirements
• Nice-to-have: Familiarity with regression automation and verificationinfrastructure, mentoring or methodology adoption leadership,or applying AI-based engineering approaches #LI-AOO

LocationIndicative salary rangeLexington, KY, United StatesWage range that the company expects to pay for a qualified candidate: US$98,560- US$147,840

In addition, all employees will be eligible to participate in an incentive plan.

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.

We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.

Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

Please let your recruiter know if you need any accommodations during the interview process.

Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Alan Olivarez

Infineon Technologies 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, 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.

Infineon Technologies takes data privacy and identity theft very seriously. As such, we do not request personally-identifiable information (PII) from applicants over the internet or electronically. Please kindly refrain from disclosing your PII electronically during the application process or to unauthorized websites that may purport to be Infineon or any of our affiliates.