Staff Semiconductor Device Modeling Engineer

About the role

As a Staff Device Modeling Engineer, you will play a pivotal role in advancing circuit simulation and modeling capabilities for next-generation semiconductor technologies. Your daily responsibilities will include collaborating with cross-functional teams to drive the development of high-quality simulation tools and methodologies, ensuring alignment with technology roadmaps, and enabling optimized solutions for process design kits (PDKs). Your contributions will directly impact accelerating product delivery timelines and enhancing Intel's leadership in the foundry space.

You will be joining Intel's Design Technology Platform (DTP) organization, a critical pillar that empowers Intel Foundry customers to produce cutting-edge products for the marketplace. The Compact Device Modeling Group (CDMG), within DTP, focuses on co-optimizing Intel's state-of-the-art process technology and design tools to enable the development of innovative, high-performance products. As part of this team, you will contribute to the modeling solutions that allow design teams to deliver leadership products for data-centric applications faster and with greater precision.

Responsibilities

• Partner with technology leaders and PDK teams to ensure modeling capabilities align with roadmap requirements.
• Drive readiness and validation of simulation and modeling solutions to meet PDK delivery milestones.
• Develop compact device models (e.g., FinFET, GAA) for transistor modeling, including layout-dependent effects and circuit performance impacts.
• Conduct statistical modeling, simulation, and data analysis using Python scripting and other relevant tools.
• Implement innovative methodologies for device targeting benchmarking circuits, self-heating effects, and Open Model Interface (OMI) modeling.
• Collaborate across multiple teams and geographies to achieve seamless integration and optimized solutions.

Qualifications

• Bachelor's degree in Electrical Engineering or a related discipline with 6+ years of industry experience in the semiconductor field; OR
• Master's degree in Electrical Engineering or a related discipline with 4+ years of relevant industry experience; OR
• Ph.D. in Electrical Engineering or a related discipline with 2+ years of experience.
• 2+ years of hands-on experience with compact modeling techniques for advanced nodes such as FinFET and GAAFET.
• Proficiency with commercial simulators (e.g., HSPICE, Spectre) and extraction tools (e.g., ICCAP, MBP).
• Experience in Python scripting for data analysis and automation.
• Experience in statistical modeling, RF simulation, and EM simulation.

Preferred Qualifications

• Ph.D. in Electrical Engineering or a related discipline with 3+ years of industry experience in the semiconductor field.
• Strong background in Device physics and RF modeling.
• Experience in RF structure design, RF De-embedding and EM simulation.
• Experience collaborating across teams and geographies, with experience leading technical initiatives.
• Experience with machine learning algorithms and their application in compact model development.
• Strong understanding of process flows, circuit design, and simulation methodologies.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.

Pay

Annual Salary Range for jobs which could be performed in the US: $149,600.00 - 284,580.00 USD. The range displayed reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Schedule

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

Shift 1 (United States of America)

Primary Location: US, Oregon, Hillsboro
Additional Locations: US, California, Santa Clara