Principal Engineer, Automated Derivatives
RenesasJob Title
Principal Engineer, Automated Derivatives
Role Summary
This role involves leading the end-to-end delivery of derivative SoCs, integrating RTL design, functional verification, and physical implementation. The engineer will utilize AI to enhance the silicon design process, aiming for faster project turnarounds and optimized design automation.
Experience Level
Senior level with 12–15 years of professional experience in the semiconductor industry.
Responsibilities
The key responsibilities include:
- Utilizing machine learning to optimize RTL and architecture for timing and congestion.
- Developing automated scripts for generating RTL wrappers and memory maps.
- Building AI-driven verification environments that adjust to design variations.
- Driving the physical implementation of derivatives using AI for faster convergence.
Requirements
Candidates must possess the following:
- Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering.
- Proficiency in SystemVerilog and UVM for functional verification.
- Solid understanding of physical design processes including Static Timing Analysis (STA).
- Expertise in Python for ML model development.
- Mastery of Git and CI/CD pipelines.
Education Requirements
Minimum of a Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering.
About the Company
Company: Renesas
Headquarters: Hitachinaka, Japan
Renesas is a global leader in embedded semiconductor solutions, providing high-quality products across automotive, industrial, infrastructure, and IoT sectors. With over 22,000 employees in more than 30 countries, the company focuses on scalable solutions that enhance user experience and drive innovation while committed to sustainability and energy efficiency.
