Lead Software Engineer: Innovus Clock Tree Synthesis

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Cadence Design Systems Inc. is looking for a motivated Lead Software Engineer to work with us in Belo Horizonte, Brazil. You will be joining an exciting R&D team responsible for innovating, designing, and developing key technology used within the Innovus™ product.

Cadence has been nominated as a Great Place to Work globally and in Brazil and is also a Fortune 100 Best Companies to Work For.

Job Responsibilities:

• Research, design, and implement EDA physical design algorithms and technology, primarily in Clock Tree Synthesis (CTS).
• Develop code in C++ and Tcl within a distributed software development environment with other contributors from around the world.
• Explore and integrate AI and Machine Learning (ML) techniques to improve quality of results.
• Optimize existing technology solutions and determine opportunities for further enhancements.
• Debug customer issues and fix bugs to ensure software is functionally correct. Build unit tests and run regressions to validate the functionality of the software being developed.

• Complete Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or another numerate discipline such as Physics or Mathematics.
• Strong programming and software engineering experience in a C-like programing language (C/C++/Java/C#/Rust etc.).
• Interest in software engineering: language features, data structures, design patterns, unit testing, automation tools.
• Good verbal and written communication skills in English/Portuguese and a good team player.
• Ability to meet stringent deadlines within a fast-paced work environment.

• A Ph.D. degree in a relevant discipline or Master's with at least 2 years of work experience in a comparable software engineering role.
• Knowledge of algorithms and data structures in Computer Science, specifically in Electronic Design Automation (Placement, Routing, Clock Tree Synthesis, etc.).
• Awareness of the fundamentals of machine learning and AI. Experience in the use of AI/ML for EDA is a strong plus.
• Knowledge of Linux command line tools.
• Strong data analysis skills and python knowledge.

• Employment category: CLT.
• Employment term: 40 hours/week.
• Competitive benefits.