Applied Materials · 8 hours ago
Process Engineer IV – AI / Machine Learning
Santa Clara,CA
Full-time
Onsite
Senior Level
$147K/yr - $202K/yr
7+ years expApplied Materials is a global leader in materials engineering solutions, and they are seeking a Process Engineer IV to advance process engineering through AI and machine learning applications. The role involves designing and optimizing manufacturing processes, collecting and analyzing data, and collaborating with cross-functional teams to implement innovative solutions in semiconductor and display manufacturing.
ElectronicsManufacturingSemiconductorSoftware
Responsibilities
Design and deploy machine learning models to automate repetitive data sorting, trend detection, and limit setting for process and material specifications
Improve engineering efficiency and product robustness by identifying root causes of recurring design and supplier quality issues through data-driven analysis
Drive AI adoption across process engineering by developing and applying scalable data analysis models and methodologies
Define display equipment requirements and review manufacturing process techniques to support new product introduction and production ramp
Design and analyze data collection plans for moderately complex process experiments; compile technical reports and present findings to cross-functional stakeholders
Perform hardware and process characterization, including thin-film property measurement and system-level evaluation
Apply ML/AI methodologies beyond core R&D, extending to equipment automation and other advanced manufacturing applications
Act as a technical resource and mentor for less experienced engineers while operating with minimal supervision
Qualification
Required
Ph.D. in Materials Science, Chemical Engineering, Chemistry, or Physics with 7+ years of industry experience, or Master's degree in the same fields with 10+ years of industry experience
Preferred
Strong foundation in materials science, chemical engineering, physics, data science, or engineering data science
3+ years of experience in semiconductor or display manufacturing environments
Working knowledge of semiconductor or display fabrication equipment and fab process requirements
Demonstrated experience applying ML/AI techniques to improve engineering processes, products, or services
Coding experience for data processing and model development is preferred
Benefits
Comprehensive benefits package
Participation in a bonus and a stock award program
Company
Applied Materials
Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.
10001+ employees
H1B Sponsorship
Applied Materials has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (435)
2024 (465)
2023 (362)
2022 (429)
2021 (456)
2020 (354)
Funding
Current Stage
Public CompanyTotal Funding
$2.1BKey Investors
Stonnington GroupUS Department of Energy
2025-02-24Post Ipo Debt· $2B
2023-06-27Post Ipo Equity· $0.38M
2022-10-19Grant· $100M
Leadership Team
Omkaram Nalamasu
CTO and Senior VP of Applied Materials; President of Applied Ventures
Tony Chiang, Ph.D
VP, CTO Applied AI
Recent News
2026-01-23
2026-01-23
2026-01-22
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