algorithmslinear algebragpuhpcpartial differential equationsfinite element methodcomputational physicsmaxwell equationsfinite difference method
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$136к-232к/год
$150к$170кмедиана$210к
По похожим ролям (47) ~ $170к/год
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Чётко очерченная специализированная роль в известной компании полупроводниковой отрасли предлагает серьёзные задачи в HPC и вычислительной физике, а также сильную техническую экспертизу для дальнейшего развития.
Узкая специализация
Актуальные вычисления
Вклад в полупроводники
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Текст:
Hirify AI/Оригинал
TL;DR
Computational Physics Algorithm Engineer (Semiconductor): Designing, implementing, and testing advanced algorithms for fast Maxwell equation solutions on high-performance computing clusters with an accent on multi-CPU and GPU platforms, numerical methods, and linear algebra solvers. Focus on optimizing multiphysics simulations, developing finite difference, finite element, and spectral methods, and supporting semiconductor inspection, metrology, and analytics technologies.
Location: Milpitas, California, United States; onsite
Base pay: $136,300–$231,700 annually
Company
hirify.global develops inspection tools, metrology systems, process solutions, and computational analytics for semiconductor manufacturing and electronics production.
What you will do
Design, implement, and test advanced algorithms for fast solutions of Maxwell equations.
Develop algorithms for high-performance computing clusters using multi-CPU and GPU platforms.
Apply numerical methods including finite difference, finite element, and spectral methods for partial differential equations.
Work with associated linear algebra solvers and contribute to computational analytics for semiconductor manufacturing.
Collaborate with research scientists, software engineers, applications engineers, and process engineers on complex technical problems.
Requirements
Doctorate degree with 0 years of related work experience, or a master's degree with 3 years of related experience, or a bachelor's degree with 5 years of related experience.
Knowledge of finite difference, finite element, and spectral methods for solving partial differential equations.
Knowledge of associated linear algebra solvers.
Ability to design, implement, and test advanced computational algorithms.
Nice to have
Experience with CUDA or other GPU programming frameworks for accelerating and optimizing multiphysics simulations.
Familiarity with Fourier optics.
Experience with collaborative software development practices such as code review, automated testing, and deployment.
Culture & Benefits
Work with cross-functional teams developing high-performance software and semiconductor manufacturing technologies.
Benefits may include medical, dental, vision, life insurance, 401(k) with company matching, employee stock purchase, tuition reimbursement, and career development programs.
Additional benefits may include paid time off, company holidays, family care and bonding leave, wellness programs, financial planning, and student debt assistance.
Interviews must reflect the candidate's own skills and thinking; AI or recording tools may not be used unless approved as a reasonable accommodation or invited by the interviewer.
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