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How much do multiscale technologies jobs pay per year?

As of Jun 4, 2026, the average yearly pay for multiscale technologies in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Multiscale Technologies Engineer, and why are they important?

To thrive as a Multiscale Technologies Engineer, you need expertise in materials science, engineering principles, and computational modeling, typically supported by an advanced degree in engineering, physics, or a related field. Familiarity with simulation software (such as ANSYS or COMSOL Multiphysics), programming languages (like Python or MATLAB), and relevant certifications in computational techniques is often required. Strong analytical thinking, problem-solving, and interdisciplinary collaboration skills set top professionals apart in this role. These capabilities are crucial for developing and optimizing complex systems that operate across multiple scales, driving innovation and practical solutions in advanced technology fields.

What types of projects do professionals in Multiscale Technologies typically work on, and how is collaboration structured within these teams?

Professionals in Multiscale Technologies often work on interdisciplinary projects that bridge the gap between nano, micro, and macro-scale systems, such as developing advanced materials, biomedical devices, or energy solutions. Collaboration is highly integrated, involving frequent interaction with specialists in materials science, engineering, physics, and computational modeling. Teams are typically composed of researchers, engineers, and analysts who coordinate through regular meetings and shared digital platforms to ensure alignment across scales. This collaborative structure not only fosters innovation but also helps team members stay abreast of the latest technological advancements, making it an ideal environment for those who thrive in dynamic, cross-functional settings.

What are multiscale technologies?

Multiscale technologies refer to methods and tools designed to analyze, simulate, or fabricate systems that operate across multiple length or time scales, such as from the nanoscale to the macroscale. These technologies are crucial in fields like materials science, engineering, and biology, as many phenomena and products depend on interactions at several different scales. By integrating data and processes from various levels, multiscale technologies help researchers and engineers design more efficient materials and devices, and better understand complex systems.

What is the difference between Multiscale Technologies vs Nanotechnology Engineer?

AspectMultiscale TechnologiesNanotechnology Engineer
Required CredentialsBachelor's or higher in engineering, physics, or related fieldsBachelor's or higher in nanotechnology, materials science, or related fields
Work EnvironmentResearch labs, manufacturing, industry applicationsResearch labs, R&D departments, industry sectors
Industry UsageApplied across multiple industries including aerospace, automotive, and electronicsPrimarily in nanotech, materials science, and biotech sectors

Multiscale Technologies focuses on integrating different scales of materials and systems, often across various industries. Nanotechnology Engineers specialize in manipulating matter at the nanoscale for innovative applications. While both roles require a background in science and engineering, their focus areas and applications differ significantly.

Computational Chemist/Material Scientist - Metal Alloys

Radical AI

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Radical AI is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to run experiments, analyze results, and iterate-continuously, without human bottlenecks. For industries like aerospace, automotive, defense, energy, manufacturing, semiconductors, and space, that means breakthroughs in weeks instead of years.
The Opportunity
As a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.
About you
  • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject.
  • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems.
  • Understanding of the fundamental mechanics of metals and how to model them computationally.
  • Experience running high-throughput DFT.
  • Experience with interatomic potentials.
  • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request).
  • Experience coding in Python or other similar languages.

Pluses
  • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs.
  • Prior experience in transitioning AI + computational research into production environments.
  • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.).
  • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS).
  • Experience with metal additive manufacturing techniques.

What We Offer
A competitive compensation package also includes the best in benefits:
  • Medical, dental, and vision insurance for you and your family, covered at 100%
  • Mental health and wellness support
  • Unlimited PTO and 14+ company holidays per year
  • Company-wide end-of-year shutdown, including two weeks of paid time off
  • 401K
  • Equity

Disclosure
Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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