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Phd Material Science Jobs in California (NOW HIRING)

MS or PhD degree in material science or related disciplines. * 5+ years of direct industry experience using x-ray characterization. * 3+ years of industry experience in STEM/EDS, SEM, SIMS, AFM, SE ...

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Phd Material Science information

What is the difference between Phd Material Science vs Materials Engineer?

AspectPhd Material ScienceMaterials Engineer
Required CredentialsPhD in Material Science or related fieldBachelor's or Master's in Materials Engineering or related field
Work EnvironmentResearch labs, academia, R&D departmentsManufacturing, product development, industry labs
Industry UsageResearch, academia, advanced R&DProduct design, process improvement, manufacturing

Phd Material Science professionals focus on advanced research, developing new materials, and academic roles, often working in labs or universities. Materials Engineers typically work in industry settings, applying existing knowledge to develop and improve products and manufacturing processes. While both roles require knowledge of materials, the PhD is more research-oriented, whereas Materials Engineers focus on practical application and product development.

What cities in California are hiring for Phd Material Science jobs? Cities in California with the most Phd Material Science job openings:
Infographic showing various Phd Material Science job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.

Materials Science Ai Engineer

Tranzeal Incorporated

Santa Clara, CA • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Tranzeal Incorporated is a company focused on materials science and AI applications. They are seeking a Materials Science AI Engineer to design, develop, and deploy AI and ML models to address material physics challenges and enhance materials informatics initiatives.
Responsibilities:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems.
• Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis.
• Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, GCP, AWS).
• Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows.
• Document code, workflows, and best practices to support reproducible research.
• Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency.
Qualifications:
Required:
• PhD (Material Science or Machine learning preferred)
• Strong proficiency in programming languages like Python and C++.
• Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with data cleansing, preprocessing, and feature engineering
Preferred:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Tranzeal logo

About Tranzeal

Sourced by ZipRecruiter

Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Since our foundation, Tranzeal has evolved from a small start up company to a mid market player dedicated to providing solutions and services to SMB and large enterprise customers. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management.

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

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