Applied Materials · 1 month ago
AI Algorithm Developer
Santa Clara,CA
Full-time
Onsite
Senior Level
$184K/yr - $253K/yr
5+ years expApplied Materials is a global leader in materials engineering solutions used in the production of semiconductor chips and advanced displays. The company is seeking an experienced AI Algorithm Developer to design and implement machine learning solutions for semiconductor capital equipment processes, focusing on predictive modeling and optimization techniques.
ElectronicsManufacturingSemiconductorSoftware
Responsibilities
Develop and productize advanced deep learning and optimization algorithms for semiconductor equipment processing workflows
Collaborate with domain experts to identify high-value process challenges and translate them into well-defined data science problems with clear assumptions, objectives, and accuracy requirements
Apply advanced modeling and optimization techniques to extract actionable insights from sparse, noisy, and highly complex process spaces
Design and implement scalable, generalizable algorithms; define specifications for productization and deployment
Communicate complex analytical concepts and insights effectively to diverse audiences, including leadership and cross-functional teams
Partner with internal groups to analyze experimental data and deliver actionable intelligence
Qualification
Required
Strong foundation in machine learning techniques, including deep learning, regression, classification, clustering, and Bayesian optimization
5+ years of experience developing and deploying machine learning algorithms in scientific or engineering industrial processes
Proficiency in Python and familiarity with key analytics and ML libraries (TensorFlow, PyTorch, Keras, Scikit-learn, SciPy, Pandas, NumPy, CUDA)
Solid understanding of semiconductor process development workflows
Strong grasp of software engineering principles, architectural patterns, and data structures
Creative and critical thinker with exceptional problem-solving skills
Excellent time management, organizational, communication, and collaboration abilities
M.S. or Ph.D. in Engineering, Physics, Mathematics, Materials Science, Statistics, Computer Science, or a related field
Preferred
Hands-on experience with GPU systems and optimizing AI model execution using CUDA
Familiarity with distributed cloud computing and parallelization
Experience with Agile methodologies and tools such as JIRA
5+ years of experience in semiconductor process development
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
Senior Vice President and Chief Technology Officer
Tony Chiang, Ph.D
VP, CTO Applied AI
Recent News
2026-01-22
2026-01-22
2026-01-16
Company data provided by crunchbase