Senior R&D Engineer - C++ & Modeling for EDA

6 Days ago • 1 Years +

Job Summary

Job Description

Join the HFSS-IC/RaptorX team to develop high-performance software for semiconductor chips, implementing state-of-the-art methods and modern programming techniques. The role involves research, prototyping, documenting, and testing advanced field solver and EM modeling methods to solve problems in cutting-edge silicon technologies. Candidates should possess a strong foundation in computer science, mathematics, and physics, with an eagerness to learn diverse technologies.
Must have:
  • 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.
  • Work independently with minimal supervision.
  • 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.
  • Strong knowledge of algorithms, data structures, parallel computing, and modern programming paradigms and patterns.
Good to have:
  • Good communication and interpersonal skills.
  • Ability to learn quickly and to collaborate with others in a geographically distributed team.
  • Experience delivering high-quality products in a large-scale commercial software development environment.
  • Strong Modern C++ programming skills.
  • Extended working experience with STL and Boost.
  • Working experience on Linux systems and development tools.
  • Python programming skills.
  • 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.
Perks:
  • Comprehensive range of health, wellness, and financial benefits.

Job Details

Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com.

Summary / Role Purpose

Join the team behind HFSS-IC/RaptorX modeler and field solver technologies for semiconductor chips. Develop high-performance software, implementing state-of-the-art methods, employing modern programming techniques and practices, able to model complex contemporary designs in advanced nodes. Engage in research, prototyping, documenting and testing activities on advanced field solver and EM modeling methods. Work on solving problems in cutting edge silicon technologies. The ideal candidate should be able to exhibit a strong foundation on computer science, mathematics, and physics and the eagerness to learn complex and diverse technologies.

Key Duties and Responsibilities

  • 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 (generic/functional/OO), code reviews and continuous integration.
  • Participate in bug verification, release testing and beta support for assigned products. Investigate problems, discovered by QA or product support, and develop solutions.
  • Work independently with minimal supervision.

Minimum Education/Certification Requirements and Experience

  • 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

Preferred Qualifications and Skills

  • Good communication and interpersonal skills.
  • Ability to learn quickly and to collaborate with others in a geographically distributed team.
  • Experience delivering high-quality products in a large-scale commercial software development environment
  • Strong Modern C++ programming skills. Extended working experience with STL and Boost
  • Working experience on Linux systems and development tools.
  • Python programming skills
  • 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.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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About The Company

Stay safe from recruitment fraud! We are aware of scams targeting Ansys and other companies that involve individuals posing as employees to illegitimately conduct interviews and extend false employment offers and payments to gain access to candidates’ sensitive personal and financial information. All Ansys job applicants are required to apply for open roles on careers.ansys.com. While virtual interviews may be conducted as a part of our interview process, Ansys does not make job offers without a thorough interview process. Ansys also will never ask for an applicant’s social security number before they have accepted an offer or ask for payment from an applicant. Ansys assumes no liability for recruitment fraud. We advise that all job seekers take steps to educate themselves on fraudulent practices, so they do not become victims of scams. Learn more via the Federal Trade Commission. Ansys is proud to be an equal opportunity workplace and is an affirmative action employer. At Ansys, we are committed to making our careers website accessible and usable for individuals with disabilities. If you need a reasonable accommodation to apply for or interview for Ansys jobs, please email talentacquisition@ansys.com.

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