Algorithm Developer III

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 161,000 - 221,000Function: Software EngineeringExperience: 2+ yearsEducation: phdSkills: ["Interdisciplinary collaboration","Problem-solving","Scientific thinking","Software engineering mindset"]

Develop AI/ML-driven, physics-informed algorithms to power next-generation semiconductor manufacturing. You’ll design scalable pipelines for high-volume sensor and metrology data, model physical relationships, and build predictive and control models using first-principles methods plus physics-informed neural networks (PINNs). Collaborate across physics, engineering, software, and data science to deliver intelligent automation solutions, including reduced-order models and performance/accuracy tradeoff optimization in real-world systems.

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Applied Materials
Applied Materials
5 days ago

Algorithm Developer III

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Develop AI/ML-driven, physics-informed algorithms to power next-generation semiconductor manufacturing. You’ll design scalable pipelines for high-volume sensor and metrology data, model physical relationships, and build predictive and control models using first-principles methods plus physics-informed neural networks (PINNs). Collaborate across physics, engineering, software, and data science to deliver intelligent automation solutions, including reduced-order models and performance/accuracy tradeoff optimization in real-world systems.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and develop scalable data pipelines to collect, process, and analyze high-volume sensor data.
  • •Identify and model physics-based relationships governing complex semiconductor process behavior.
  • •Develop predictive and control algorithms combining physics-based methods with machine learning.
  • •Build robust, maintainable software modules that integrate with manufacturing tools and systems.
  • •Collaborate with multidisciplinary teams to implement intelligent automation solutions and iteratively improve models based on data.
Travel: Low travel

Pay and Benefits

Salary: USD 161,000 - 221,000
Equity and Bonus:Equity
Perks:Travel Allowance

Key Requirements

  • •Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or related quantitative discipline, or a Master’s degree in one of these with at least 2 years of relevant industry or research experience.
  • •Strong foundation in theoretical/computational disciplines with practical software development experience.
  • •Deep expertise in theoretical physics, applied mathematics, computational science, or simulation-driven engineering.
  • •Working knowledge of modern machine learning, data science, and statistical modeling techniques.
  • •Ability to translate complex algorithms into clean, scalable, production-ready code that interacts with and controls physical systems.
Experience:2+ yearsSemiconductor manufacturingAI/MLMachine learningSimulationData science
Education:PhD / Doctorate
Skills:Interdisciplinary collaborationProblem-solvingScientific thinkingSoftware engineering mindset
Tech Stack:Artificial intelligenceMachine learningPhysics-informed neural networks (PINNs)Data pipelinesSensor dataMetrology dataFirst-principles physics modelingPredictive modelingControl modelsReduced order modelsSimulation-driven engineeringControl systemsDashboards

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
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