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Computational Physicist – Fluid/Thermal Modeling, AI/ML New College Grad - Doctorate Degree (Santa Clara, CA) jobs in United States
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Applied Materials · 1 day ago

Computational Physicist – Fluid/Thermal Modeling, AI/ML New College Grad - Doctorate Degree (Santa Clara, CA)

positionSanta Clara, CA
timeFull-time
remoteOnsite
seniorityNew Grad, Entry Level
money$138K/yr - $190K/yr
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. They are seeking a highly skilled engineer to join their computational modeling team focused on fluid and thermal physics simulations, where the role involves developing advanced computational models and collaborating with engineering teams to solve complex challenges.
SemiconductorElectronicsSoftwareManufacturing
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H1B Sponsor Likelynote

Responsibilities

Develop and implement advanced computational models using physics‑based simulation tools and AI/ML techniques
Design fluid and thermal models
Automate simulation workflows
Analyze large data sets
Contribute to the development and optimization of Ace+ software
Collaborate with cross‑functional engineering teams to solve complex problems
Improve product designs
Support next‑generation chamber and process technology development

Qualification

Fluid/Thermal PhysicsAI/ML TechniquesPythonMATLABC/C++Data ProcessingCommunication Skills

Required

Advanced degree (M.S. or Ph.D.) in Mechanical, Electrical, Aerospace, Chemical Engineering, or a related field with specialization in fluid/thermal physics
Proven ability to apply fluid/thermal physics and chemical kinetics principles to solve challenging problems
Experience automating simulation workflows using Python, MATLAB, or similar scripting tools for data processing and large-scale analysis
Proficient in at least one programming language (Python, MATLAB, C, C++, or Fortran)
Excellent written and verbal communication skills for effective collaboration across engineering teams

Preferred

Hands-on experience applying machine learning techniques to enhance physics-based simulations, including: surrogate models, reduced-order models, uncertainty quantification
Familiarity with open-source machine learning libraries and frameworks

Benefits

Comprehensive benefits package
Participation in a bonus and a stock award program

Company

Applied Materials

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Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.
dateFounded in 1967
location
Santa Clara, California, USA
people-size10001+ employees
web-link
http://www.appliedmaterials.com

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 Company
Total Funding
$2.1B
Key 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

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Omkaram Nalamasu
CTO and Senior VP of Applied Materials; President of Applied Ventures
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Tony Chiang, Ph.D
VP, CTO Applied AI
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Recent News

Morningstar.com
Applied Materials Profit Rises On Soaring AI Computing Demand
2026-02-13
Sherwood News
Applied Materials jumps after posting better-than-expected Q1 results, strong Q2 outlook
2026-02-13
Benzinga.com
Applied Materials Beats Q1 Estimates, Issues Strong Guidance, Shares Surge
2026-02-13
Company data provided by crunchbase