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Day Shift Computational Materials Science Jobs (NOW HIRING)

Entegris, Inc.

$101 - $126/hr

## Senior Scientist, Computational Materials SolutionsApplylocations: Remote, PAtime type: Full ... This role focuses on accelerating innovation by combining computational science, machine learning ...

SES

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

This powerful combination of "AI for science" and material engineering enables batteries that can ... As a Computational Materials Scientist, you will be a core data-driven modeler responsible for ...

NextGenEnergyJobs

$180 - $200/hr

The SES AI Prometheus team is seeking an exceptional Computational Materials Scientist to combine ... Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...

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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 3, 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.

More about Day Shift Computational Materials Science jobs

What cities are hiring for Day Shift Computational Materials Science jobs?

Cities with the most Day Shift Computational Materials Science job openings:

What states have the most Day Shift Computational Materials Science jobs?

States with the most job openings for Day Shift Computational Materials Science jobs include:

What job categories do people searching Day Shift Computational Materials Science jobs look for?

The top searched job categories for Day Shift Computational Materials Science jobs are:

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.

Computational Materials Scientist

Discovery 2 Scale

Santa Fe, NM • On-site

$110 - $150/hr

Other

Medical, Retirement

Posted 16 days ago

Job description

Discovery 2 Scale is building the Autonomous Foundry for Advanced Materials—an end-to-end platform connecting materials design, autonomous experimentation, qualification, and scale-up to deliver production-ready materials faster and with less risk.

We are looking for a highly skilled computational materials scientist with strong CALPHAD and Thermo-Calc experience to help build the thermodynamic intelligence behind our platform.

What you’ll do
  • Develop CALPHAD and Thermo-Calc workflows for alloy design and high-throughput screening.
  • Model phase stability, solidification, segregation, and phase transformations.
  • Perform Scheil and kinetic simulations to evaluate manufacturability and processing windows.
  • Develop models for weldability, heat-affected-zone behavior, and thick-section producibility.
  • Build automated Python and Thermo-Calc pipelines for large composition and processing spaces.
  • Integrate thermodynamic predictions with AI/ML models and experimental data to guide alloy design.
Required qualifications
  • M.S. or Ph.D. in Materials Science, Metallurgy, Computational Materials Science, or a related field.
  • Hands-on experience with Thermo-Calc and CALPHAD.
  • Experience modeling multicomponent metallic alloy systems.
  • Experience with equilibrium phase and Scheil solidification calculations.
  • Strong understanding of physical metallurgy, thermodynamics, solidification, and phase transformations.
  • Experience with scientific programming or workflow automation using Python or similar tools.
  • Ability to connect computational predictions with real materials processing and experimental observations, and work independently in a fast-paced startup environment.
Preferred qualifications
  • Experience with TC-Python, DICTRA, TC-PRISMA, or related thermodynamic and kinetic modeling tools.
  • Experience with steels, nickel-based alloys, titanium or refractory alloys, or multi-principal-element alloys.
  • Experience with welding metallurgy, HAZ transformations, solidification, segregation, or casting.
  • Experience integrating CALPHAD predictions with SEM, EDS, EBSD, or other experimental data.
  • Experience combining CALPHAD with machine learning, materials informatics, or high-throughput alloy design.
Why join D2S?
  • Build cutting-edge autonomous materials discovery technology.
  • Work alongside world-class scientists and engineers.
  • High level of ownership and technical freedom.
  • Opportunity to help build a company from the ground up.
  • Competitive salary, comprehensive health benefits, and a 401(k) with company match.
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