Application Engineer

Applied Materials

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$100,000–$136,500 / yr
Posted
95 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $151k
This role $118k
$89k most similar roles pay here $205k

This role pays less than 77% of similar roles. Most pay $123,250–$178,475 — the shaded band above. At the midpoint, this role pays about $118k versus about $151k 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 128 open roles on FindRole.

Listed pay typically runs $132,750–$182,500 across 128 roles with salary data.

Most-posted roles

View all roles at Applied Materials

At a glance

TL;DR · Application Engineer

As an Application Engineer, you will join a team focused on developing and deploying advanced analytics for complex industrial systems. You will work at the intersection of engineering domain knowledge, data analytics, and AI/ML to translate operational needs into scalable, production-ready analytical solutions used in real manufacturing environments. Your daily responsibilities include breaking down unstructured domain knowledge into structured inputs, identifying patterns in operational data, designing algorithmic models, and managing the full analytics lifecycle including validation and versioning. You will collaborate with product, software, and field teams to ensure solution reliability. The role requires proficiency in Python or R for data analysis and prototyping, along with experience applying modern AI/ML techniques like Generative AI. This position addresses the challenge of creating robust digital solutions for complex industrial systems and semiconductor equipment environments.

What you'll do

  • Translate complex engineering problems and unstructured domain knowledge into structured analytical inputs.
  • Analyze operational data to identify patterns, anomalies, and actionable insights for system performance.
  • Design, develop, and maintain analytics and algorithmic models for industrial applications.
  • Prototype new algorithmic approaches and manage the transition into production software.
  • Validate analytical models against real-world scenarios to ensure robustness and practical usability.
  • Manage the full analytics lifecycle including validation, versioning, and release readiness.
  • Interpret model outputs to provide specific engineering recommendations for manufacturing environments.
  • Produce technical documentation and reports to support development, validation, and deployment.

What we're looking for

  • Bachelor's degree in Engineering, Computer Science, Data Science, or a related field.
  • 5+ years of relevant experience with a Bachelor’s degree in application engineering, algorithm development, or related technical roles.
  • 2+ years of relevant experience with a Master’s degree in application engineering, algorithm development, or related technical roles.
  • Experience in industrial, manufacturing, or complex system environments is strongly preferred.
  • Experience with model/version lifecycle management, release processes, or production software environments.
  • Basic programming skills in Python, R, or similar for data analysis and prototyping.
  • Practical familiarity with applying modern AI/ML techniques to knowledge extraction, summarization, or decision support.
  • Strong communication skills to lead technical discussions and translate data insights into engineering decisions.

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