обновлено 8 месяцев назад
R&D Engineer (EDA)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
R&D Engineer (EDA): Design, implement, optimize, and maintain software systems for capacitance and substrate field solvers with an accent on stochastic and machine learning methods. Focus on solving problems in cutting-edge silicon technologies, employing modern programming techniques and practices.
Location: GR Home City, GR
Company
is now a part of Synopsys and accelerates technology innovation from silicon to systems.
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.
- Understand and employ software development best practices, including multi-paradigm programming models, code reviews, and continuous integration.
- Participate in bug verification, release testing, and beta support for assigned products.
- Investigate problems and develop solutions.
Requirements
- Diploma in Electrical & Computer Engineering or equivalent MS in related disciplines (Computer Science, Applied Mathematics, Physics, Mathematics).
- 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.
Nice to have
- Good communication and interpersonal skills.
- Ability to learn quickly and to collaborate with others in a geographically distributed team.
- Programming skills in a strongly-typed high-performance language (C++, Rust).
- Working experience on Linux systems and development tools.
- Programming skills in Python and ML/DL frameworks (PyTorch, TensorFlow, Scikit).
- Experience in software design, APIs, microservice, and cloud technologies.
- Experience with Monte Carlo Methods and stochastic systems.
- Knowledge of computational geometry algorithms, methods, and related software development libraries.
- Knowledge of computational linear algebra and related libraries.
- Technical knowledge and experience with field solver technologies (FDM, FEM, BEM, RW).
- Technical knowledge and experience with CMOS technologies.
- 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.
- Talented people of every background are valued and supported to do their best work.
- Considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
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