Senior R&D Engineer (EDA)

TL;DR

Senior R&D Engineer (EDA): Develops high-performance software for semiconductor chips, implementing state-of-the-art methods and modern programming techniques. Focus on researching, prototyping, documenting, and testing advanced field solver and EM modeling methods for cutting-edge silicon technologies.

Location: GR Home City, GR

Company

hirify.global accelerates technology innovation from silicon to systems, delivering design solutions and multiphysics simulation and analysis.

What you will do

• Participate in the design, implementation, optimization, maintenance, testing, and documentation of complex software systems.
• Design and implement algorithms, data structures, and software architectures for computationally demanding tasks.
• Employ software development best practices, including multi-paradigm programming models, code reviews, and continuous integration.
• Participate in bug verification, release testing, and beta support, developing solutions for problems discovered by QA or product support.
• Work independently with minimal supervision.

Requirements

• BS in Computer Science, Applied Mathematics, Engineering, or other natural science disciplines with 5 years experience, MS with 3 years’ experience, or PhD with 1 year experience.
• Working experience in technical software development proven by academic, research, or industry projects.
• Strong knowledge of algorithms, data structures, parallel computing, and modern programming paradigms and patterns.
• Strong Modern C++ programming skills and experience with STL and Boost.
• Working experience on Linux systems and development tools.
• Python programming skills.

Nice to have

• Good communication and interpersonal skills.
• Ability to learn quickly and collaborate with others in a geographically distributed team.
• Experience delivering high-quality products in a large-scale commercial software development environment.
• Experience in software design, APIs, microservice, and cloud technologies.
• Experience with Monte Carlo Methods and stochastic systems.
• Knowledge of computational geometry methods, mesh generation algorithms, and related software development libraries.
• Knowledge of computational linear algebra, model order reduction algorithms (MOR) and related libraries.
• Technical knowledge and experience with field solver technologies (FDM, FEM, BEM, RW).
• Technical knowledge and experience with CMOS technologies and EDA.
• Experience with GPU and/or distributed programming.
• PhD in a related field or exhibited research activity.

Culture & Benefits

• Comprehensive range of health, wellness, and financial benefits.
• Monetary and non-monetary offerings.