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2 дня назад

Algorithm Developer III (AI/ML)

161 000 - 221 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Algorithm Developer III (AI/ML): Developing scalable sensor-data pipelines, physics-based models, and predictive and control algorithms for advanced semiconductor manufacturing with an accent on theoretical physics, machine learning, and real-world systems engineering. Focus on building physics-informed neural networks, reduced-order models, intelligent automation, and production-ready software for manufacturing tools and control systems.

Location: Santa Clara, California, United States

Salary: $161,000–$221,000 per year

Company

hirify.global develops materials science and engineering solutions, equipment, and technologies for semiconductor manufacturing and advanced displays.

What you will do

  • Design scalable data pipelines for high-volume sensor and metrology data from semiconductor manufacturing systems.
  • Identify physical relationships and develop predictive and control algorithms using physics-based methods and machine learning.
  • Build physics-informed neural networks, ML surrogates, and reduced-order models based on rigorous physics simulations.
  • Develop maintainable software modules and integrate algorithms with manufacturing tools, control systems, dashboards, and user-facing applications.
  • Analyze model accuracy and performance tradeoffs, improve simulations, and optimize real-time execution.
  • Collaborate with physics, engineering, software development, and data science specialists on complex automation initiatives.

Requirements

  • Ph.D. in physics, applied mathematics, computational chemistry, electrical engineering, mechanical engineering, or a related quantitative discipline.
  • Alternatively, a master’s degree in one of these fields plus at least 2 years of relevant industry or research experience.
  • Expertise in theoretical physics, applied mathematics, computational science, or simulation-driven engineering.
  • Working knowledge of machine learning, data science, and statistical modeling.
  • Strong software engineering skills with the ability to produce clean, scalable, production-ready code.
  • Ability to work with physical systems, sensors, instrumentation, hardware, robotics, and interdisciplinary engineering teams.

Nice to have

  • Public GitHub repositories, open-source contributions, peer-reviewed publications, or equivalent technical work.
  • Experience with computer-aided engineering, engineering simulation, physical modeling, or complex-system analysis.
  • Experience applying machine learning to scientific, engineering, or industrial problems.

Culture & Benefits

  • Supportive environment focused on learning, professional development, and scientific excellence.
  • Work on rapid-innovation projects at the intersection of physics, AI, and semiconductor manufacturing.
  • Comprehensive employee benefits and programs supporting health and wellbeing.
  • Travel required for approximately 10% of the time.
  • Relocation eligible.

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