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Day Shift Computational Materials Science Jobs (NOW HIRING)

Amat

AI Materials Research Engineer

Santa Clara, CA · On-site

$170K - $234K/yr

We empower our team to push the boundaries of what is possible-while learning every day in a ... MS/PhD in Materials Science, Computational Materials Science, Physics, Chemical Engineering, or ...

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Day Shift Computational Materials Science information

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$142.5K

$168.8K

$192.5K

How much do day shift computational materials science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for day shift computational materials science in the United States is $168,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,500.00 and $182,000.00 per year, depending on experience, location, and employer.

What is the difference between Day Shift Computational Materials Science vs Day Shift Materials Engineer?

AspectDay Shift Computational Materials ScienceDay Shift Materials Engineer
Required CredentialsTypically requires a PhD or Master's in Materials Science, Physics, or related fieldBachelor's or Master's in Materials Science, Mechanical Engineering, or related field
Work EnvironmentResearch labs, simulation centers, computer-based workManufacturing facilities, R&D labs, on-site testing
Employer & Industry UsageResearch institutions, tech companies, aerospace, automotive

Day Shift Computational Materials Science focuses on computer-based simulations and modeling to understand material properties, often requiring advanced degrees. In contrast, Day Shift Materials Engineers work directly with materials in manufacturing or testing environments, typically with a bachelor's or master's degree. Both roles are essential in materials development but differ in work setting and daily tasks.

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Day Shift Computational Materials Science jobs near you
Infographic showing various Day Shift Computational Materials Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 27% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $168,844 per year, or $81.2 per hour.

Senior Materials Expert - AI‑Driven Materials Discovery

Siemens Energy, Inc.

Orlando, FL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

118th of 496 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
As a Senior Materials Expert - AI-Driven Materials Discovery, you will lead the next generation of industrial materials innovation by leveraging artificial intelligence, advanced simulation, and emerging computing technologies to accelerate materials discovery and optimization across Siemens Energy's value chain. You will bridge materials science expertise with digital technologies by developing AI-driven workflows, computational models, and materials data platforms that reduce development time, improve performance, and enable scalable industrial solutions. Working across R&D, Engineering, IT, and business functions, you will lead interdisciplinary teams, drive strategic innovation initiatives, and translate scientific advancements into impactful applications and intellectual property.
How You'll Make an Impact
  • Lead the development and execution of AI-driven materials discovery strategies by designing machine learning models, computational simulations, and digital materials twins to predict material properties and accelerate innovation cycles
  • Develop and integrate advanced computational workflows, including AI/ML models, multi-scale simulations, density functional theory (DFT), molecular dynamics (MD), finite element modeling (FEM), and emerging quantum computing approaches to enable next-generation materials development
  • Build and manage materials data ecosystems by establishing data pipelines, supporting FAIR data standards, curating materials databases, and integrating experimental and computational datasets to improve data-driven decision-making
  • Conduct advanced materials research focused on structure-property-process relationships, including material selection, composites, polymers, alloys, metallurgy, characterization, testing, and failure analysis to support industrial applications
  • Lead interdisciplinary R&D programs by managing technical roadmaps, project milestones, research reviews, external partnerships, and collaboration across global teams, scientific networks, and innovation communities
  • Drive process innovation and knowledge development by mentoring scientists and engineers, establishing new research methodologies, communicating technical findings to leadership, and translating scientific results into scalable business solutions and intellectual property

What You Bring
  • Ph.D. or Master's degree in Materials Science, Chemical Engineering, Physics, Computer Science, Engineering, or a related technical field with a focus on computational materials science or a comparable discipline
  • 8+ years of experience leading research, engineering, or technology development projects in materials science, computational modeling, AI-driven innovation, or industrial R&D environments
  • Deep expertise in computational materials science, materials informatics, machine learning, data science, and simulation methods, with demonstrated experience applying AI/ML techniques such as neural networks, Bayesian optimization, generative models, or graph neural networks (GNNs)
  • Strong experience with materials modeling, experimental-computational integration, HPC environments, large-scale data processing, and advanced simulation techniques; knowledge of quantum computing concepts and algorithms for materials modeling preferred
  • Proven ability to lead cross-functional and matrix teams, influence stakeholders, manage complex technical programs, and translate scientific research into practical industrial applications
  • Excellent analytical, problem-solving, communication, and strategic thinking skills with the ability to collaborate effectively in a global, flexible, and innovation-focused environment; advanced English proficiency required, German language skills beneficial

Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: h ttps://www.siemens-energy.com/employeevideo
Rewards
  • Career growth and development opportunities; supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave

https://jobs.siemens-energy.com/jobs
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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