2 дня назад
Algorithm Developer III (AI/ML)
161 000 - 221 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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