Algorithm Developer III

Applied Materials

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$161,000–$221,000 / yr
Posted
7 days ago
Freshness
Confirmed live today
Closes
Oct 23, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $191k
$123k most similar roles pay here $246k

This role pays more than 52% of similar roles. Most pay $134,593–$234,475 — the shaded band above. At the midpoint, this role pays about $191k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Applied Materials

Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment

Applied Materials currently has 134 open roles on FindRole.

Listed pay typically runs $132,750–$182,500 across 134 roles with salary data.

Most-posted roles

View all roles at Applied Materials

At a glance

TL;DR · Algorithm Developer III

New College Grad - Algorithm Developer III - PhD (Winter 2026 Start) joins the Rocket team to work at the intersection of artificial intelligence, machine learning, theoretical physics, and systems engineering. This role involves developing next-generation solutions for high-impact semiconductor manufacturing applications by building automated systems that process data from thousands of sensors. The developer will identify physics-based relationships, build predictive and control models, and create scalable data pipelines to analyze high-volume sensor data. Key tasks include developing machine learning surrogates, reduced order models, and robust software modules integrated with real-world tools. The role requires expertise in theoretical physics, applied mathematics, computational science, and modern machine learning techniques like physics-informed neural networks. Candidates must possess strong software engineering skills to translate complex algorithms into production-ready code while solving technical problems related to semiconductor manufacturing processes and hardware systems.

What you'll do

  • Design and develop scalable data pipelines to process high-volume sensor data from manufacturing systems.
  • Identify and model physical relationships governing complex semiconductor manufacturing processes.
  • Develop predictive and control algorithms using a hybrid of physics-based methods and machine learning.
  • Build robust, maintainable software modules that integrate directly with real-world manufacturing tools.
  • Create ML surrogates or reduced order models based on rigorous physics simulations.
  • Optimize accuracy and performance tradeoffs to ensure rapid execution of algorithm modules.
  • Analyze large quantities of sensor data to iteratively improve simulation accuracy and model performance.
  • Implement models and code for user-facing applications, control systems, or dashboards.

What we're looking for

  • Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or a related quantitative discipline.
  • Master's degree in a relevant quantitative field with at least 2 years of experience in industry or research.
  • 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, and production-ready code.
  • Experience with computational methods, computer-aided engineering, physical modeling, or analysis of complex systems (preferred).
  • Experience applying machine learning techniques to scientific, engineering, or industrial problems (preferred).
  • Demonstrated ability to develop high-quality code via GitHub, open-source contributions, or peer-reviewed publications (preferred).

More like this

Similar roles

Physicist Scientist III

Applied Materials

Santa Clara, CA 6 days ago $138,000$190,000
Machine Learning HPC Molecular Dynamics Kinetic Monte Carlo Ab initio Quantum Chemistry Simulation Scientific Computing Modeling Frameworks Atomic Layer Etching Plasma Etching

Research Scientist, Networking Research

Nvidia

Santa Clara, CA 3 days ago $168,000$264,500
Machine Learning Artificial Intelligence C++ Python PyTorch TensorFlow JAX Computer Architecture Network Architecture Hardware/Software Co-design Simulation Analytical Modeling HLS Traffic Engineering
2+ yrs exp

Algorithm Developer III

Applied Materials

Santa Clara, CA 10 days ago $161,000$221,000
Artificial Intelligence Machine Learning Physics-Informed Neural Networks (PINNs) Data Pipelines Computational Science Simulation Control Systems Statistical Modeling Metrology Computer-Aided Engineering (CAE)
2+ yrs exp

AI GPU Power Architect

Nvidia

Santa Clara, CA 11 days ago $100,000$166,750
Computer Architecture VLSI Design Digital Logic Design Python Pandas NumPy PyTorch Machine Learning DVFS High-Performance Computing GenAI Power Analysis

Research Scientist, Efficient Deep Learning

Nvidia

Santa Clara, CA 102 days ago $168,000$264,500
Deep Learning Computer Vision Python PyTorch C++ CUDA Large Language Models Vision-Language Models Pruning Quantization NAS Parallel Programming

Research Scientist, Generative AI for Physical AI

Nvidia

Santa Clara, CA 164 days ago $168,000$264,500
PyTorch Generative AI Reinforcement Learning Physics Simulation 3D Generative Models Distributed Training Data Processing Pipelines open-source Robotics