EDA R&D Software Engineer

Are you passionate about the intersection of software development and cutting-edge analog/mixed-signal integrated circuit design We're seeking a talented Staff Software Engineer to research, develop, apply, and support software crucial for the design of leading-edge ICs, with a strong emphasis on simulation, modeling, and automation.

In this role, you'll be exposed to the entire software development lifecycle, from initial concept to user support, and will have the opportunity to solve real, challenging design problems alongside industry-leading analog/mixed-signal IC designers.

Key Responsibilities:

• Research, develop, apply, and support software for the design of leading-edge analog/mixed-signal integrated circuits, with a focus on simulation, modeling, and software development.
• Undertake projects that may include:Developing high-performance algorithms for numerical simulation, analysis, and design of circuits and systems.
• Modeling semiconductor devices, interconnect networks, and electromagnetic effects.
• Automating processes to significantly improve design efficiency.
• Contribute to all aspects of the software development life cycle, including idea conception, product definition, software development, maintenance, and user support.
• Collaborate closely with industry-leading analog/mixed-signal IC designers to solve real, challenging design problems.

Required Qualifications and Skills:

• Master's degree in Electrical Engineering, Computer Science, or a related field.
• Proficiency in Python or C++ software development, with a preference for Linux environments.
• Experience creating algorithms, data structures, and user interfaces, preferably for large engineering problems.
• Scripting experience with one or more of the following: Python, Perl, UNIX shell.
• Familiarity with source code management systems such as GitHub or Bitbucket.
• Strong analytical, problem-solving, and decision-making skills.
• Understanding of EDA tools & methods, as well as Digital, Analog/Mixed-Signal simulation is preferred.
• Ability to communicate complex engineering concepts clearly and collaborate effectively with other engineers.