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Computational Physics Dft Jobs (NOW HIRING)

Wolfspeed, Inc.

Manager of Research Science

Durham, NC · On-site

Expertise in dislocation characterization, crystallography, semiconductor device physics and processing * Expertise in computational modeling of materials systems such as DFT and finite element model ...

Quantum Computing Inc.

RF Systems Engineer

Hoboken, NJ · On-site

Bachelor of Science (BS) in Physics, Engineering Physics, RF Engineering, or Electrical Engineering ... Experience with at least one computational EM solver (Ansys HFSS, CST Microwave Studio, FEKO, AWG ...

Mercor

Materials Scientist - AI Trainer

Los Angeles, CA · On-site +1

$1.1K - $1.4K/wk

MS / PhD in materials science, chemistry, physics, or related discipline. * 3+ years of full-time ... Computational materials science expertise in DFT or MD . * Process development and scale-up ...

QCi

Bachelor of Science (BS) in Physics, Engineering Physics, RF Engineering, or Electrical Engineering ... Experience with at least one computational EM solver (Ansys HFSS, CST Microwave Studio, FEKO, AWG ...

QCi

RF Systems Engineer

Hoboken, NJ · On-site

Bachelor of Science (BS) in Physics, Engineering Physics, RF Engineering, or Electrical Engineering ... Experience with at least one computational EM solver (Ansys HFSS, CST Microwave Studio, FEKO, AWG ...

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Computational Physics Dft information

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$39K

$46.9K

$52.5K

How much do computational physics dft jobs pay per year?

As of Jun 16, 2026, the average yearly pay for computational physics dft in the United States is $46,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $50,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working with Density Functional Theory (DFT) in computational physics roles?

One of the main challenges in DFT-based computational physics roles is balancing computational cost with the accuracy of results, as more precise calculations often require significantly more resources. Additionally, selecting appropriate exchange-correlation functionals and handling systems with strong electron correlation can be technically demanding. Collaborating closely with experimentalists and other theorists is often necessary to validate models and interpret complex data. Staying updated with the latest methodological advancements in DFT is also vital for ensuring high-quality research outcomes.

What is the difference between Computational Physics Dft vs Computational Chemistry?

AspectComputational Physics DftComputational Chemistry
Required credentialsPhysics or related degree, knowledge of DFT methodsChemistry or related degree, expertise in molecular modeling
Work environmentResearch labs, academia, industry focusing on physical systemsLaboratories, pharmaceutical companies, research institutions
Industry usageMaterial science, condensed matter physicsDrug design, molecular interactions

Computational Physics Dft and Computational Chemistry both utilize DFT methods, but focus on different systems—physical materials versus molecular interactions. While they share similar credentials and work environments, their applications differ, making each specialized for distinct scientific questions.

What are the key skills and qualifications needed to thrive as a Computational Physics DFT (Density Functional Theory) specialist, and why are they important?

A strong background in physics, mathematics, and computational modeling, typically with an advanced degree in physics, chemistry, or materials science, is essential for work in computational physics focused on DFT. Proficiency in scientific programming languages (such as Python, Fortran, or C++), experience with DFT simulation packages (like VASP, Quantum ESPRESSO, or Gaussian), and familiarity with high-performance computing environments are often required. Analytical thinking, problem-solving abilities, and effective communication are key soft skills for interpreting complex results and collaborating within multidisciplinary teams. These skills and qualifications are crucial for generating accurate simulations, advancing research, and effectively conveying findings in this highly technical field.

What is computational physics DFT?

Computational physics DFT refers to the use of Density Functional Theory (DFT) within the field of computational physics to study the electronic structure of atoms, molecules, and solids. DFT is a quantum mechanical modeling method that allows scientists to calculate properties such as total energy, electronic density, and molecular orbitals efficiently. It is widely used because it provides a good balance between accuracy and computational cost, making it suitable for simulating complex systems in materials science, chemistry, and nanotechnology.
Manager of Research Science

Manager of Research Science

Wolfspeed, Inc.

Durham, NC • On-site

Full-time

Posted 1 hour ago

Wolfspeed rating

6.3

Company rating: 6.3 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

At Wolfspeed, we do amazing things in a human way.
We know that the achievements of our organization are due to the passion, hard work and creativity of our employees. We celebrate different perspectives to foster excellence across our organization, and our goal is to make diversity a foundation of what we do. We are proudly building an environment where you can bring your authentic self to work.
  • Enjoy doing things that people say can't be done? Innovation is at the center of everything we do.
  • Hate red tape? We remove roadblocks instead of creating them.
  • Working parent? We provide childcare assistance and paid parental leave.
  • Student? We offer continuing education assistance.
  • Looking for community? There are many ways to get involved, from Employee Resource Groups to local outreach.

Here's the Gist (1-2 sentences to summarize the role):
As a Manger of Research Science in Machine Learning you will direct the activities of a research group in the research and/or development of technology relevant to Wolfspeed's future products, projects and programs. You will collaborate with others on the direction of basic research and development relevant to long-term objectives and concerns and develop strategies to ensure effective achievement of scientific objectives. Additionally, you will oversee interdepartmental activities and research efforts.
The Day-to-Day:
  • Lead a team of R&D ML Engineers in deploying enterprise manufacturing solutions to increase revenue and product quality
  • Interface regularly across operations, R&D, and IT to develop novel ML techniques for semiconductor manufacturing and development
  • Use your previous expertise in AI/ML techniques for computer vision, physics informed ML, and reinforcement learning to mentor early-in-career engineers
  • Bring your previous semiconductor/materials science subject matter expertise to discussions

This Job is Right for You if You Have (Minimum Requirements)
  • Ph. D. Materials Science, chemical engineering, physics, electrical Engineering, Machine Learning or equivalent degree
  • 3-5 years leading an ML team in a high-volume manufacturing setting
  • Strong track record of leading cross-functional teams in a dynamic environment
  • Prior experience implementing AI solutions into a semiconductor or materials high volume manufacturing environment
  • Expertise in dislocation characterization, crystallography, semiconductor device physics and processing
  • Expertise in computational modeling of materials systems such as DFT and finite element model Multiphysics simulation

This role may require additional duties and/or assignments as designated by management.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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