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R&D Engineer (EDA)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Europe/Greece
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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