New College Grad - Algorithm Developer III - PhD (Winter 2026 Start)

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 161,000 - 221,000 annuallyFunction: Software EngineeringExperience: 2+ yearsEducation: phdSkills: ["Interdisciplinary collaboration","Analytical problem-solving","Practical delivery mindset","Scientific reasoning"]

Develop next-generation algorithms for high-impact semiconductor manufacturing by combining first-principles physics modeling with advanced machine learning approaches, including physics-informed neural networks (PINNs). Design scalable pipelines for high-volume sensor and metrology data, build predictive and control models, and implement robust, production-ready software modules that integrate with manufacturing tools and real-time systems. Partner across physics, engineering, software, and data science to deliver intelligent automation and continuous model improvements.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Applied Materials
Applied Materials
4 days ago

New College Grad - Algorithm Developer III - PhD (Winter 2026 Start)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Develop next-generation algorithms for high-impact semiconductor manufacturing by combining first-principles physics modeling with advanced machine learning approaches, including physics-informed neural networks (PINNs). Design scalable pipelines for high-volume sensor and metrology data, build predictive and control models, and implement robust, production-ready software modules that integrate with manufacturing tools and real-time systems. Partner across physics, engineering, software, and data science to deliver intelligent automation and continuous model improvements.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Entry level

Key Responsibilities

  • •Design and develop scalable data pipelines to collect, process, and analyze high-volume sensor data from semiconductor manufacturing systems.
  • •Identify and model underlying physical relationships governing complex process behavior, and develop predictive and control algorithms using physics-based methods and machine learning.
  • •Build robust, maintainable software modules that integrate directly with real-world manufacturing tools and systems.
  • •Collaborate with multidisciplinary teams across physics, engineering, software development, and data science to accelerate innovation and technology deployment.
  • •Optimize algorithm accuracy/performance tradeoffs and iteratively improve models using sensor and metrology data.
Travel: Low travel

Pay and Benefits

Salary: USD 161,000 - 221,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or a related quantitative discipline (or a Master’s degree in one of these fields) with at least 2 years of relevant industry or research 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.
  • •Strong software engineering skills to translate complex algorithms into clean, scalable, production-ready code.
  • •Experience applying machine learning techniques to scientific, engineering, or industrial problems, especially in contexts bridging software with physical-world systems.
Experience:2+ yearsSemiconductor manufacturingAI/MLMachine learningOpen source
Education:PhD / Doctorate in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or a related quantitative discipline
Skills:Interdisciplinary collaborationAnalytical problem-solvingPractical delivery mindsetScientific reasoning
Tech Stack:AIMachine learningData pipelinesPhysics-informed neural networksPINNsGitGitHubJavaComputer-aided engineering (CAE)Engineering simulationControl 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
Glassdoor
Glassdoor: 3.9
WebsiteLinkedInGlassdoor