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Computational Solid State Physics Jobs (NOW HIRING)

Fuse

Computational Physicist

San Leandro, CA · On-site

In this role, you will leverage your expertise in physics, mathematics, and computational methods ... Solid understanding of pulsed power systems, high-voltage engineering, and plasma diagnostics.

Draper

Senior Solid-State Sensor Engineer

Cambridge, MA

$82.30K - $220K/yr

You're someone who enjoys working at the intersection of physics and real-world application, when ... solid-state physics, or control systems Like owning or contributing to system architecture and ...

NSS

Solid-State Laser Scientist / Lead

Herndon, VA

D. in Physics, Optical Engineering, Electrical Engineering, or related field * 5+ years of experience in solid-state laser development (2-8+ years post-graduate experience depending on degree)

NSS

Solid-State Laser Scientist / Lead

Herndon, VA · On-site

D. in Physics, Optical Engineering, Electrical Engineering, or related field * 5+ years of experience in solid-state laser development (2-8+ years post-graduate experience depending on degree)

NSS

Solid-State Laser Scientist / Lead

Herndon, VA

D. in Physics, Optical Engineering, Electrical Engineering, or related field * 5+ years of experience in solid-state laser development (2-8+ years post-graduate experience depending on degree)

Draper

Senior Solid-State Sensor Engineer

Cambridge, MA · On-site

$82.30K - $220K/yr

You're someone who enjoys working at the intersection of physics and real-world application, when ... MEMS, solid-state physics, or control systems • Like owning or contributing to system ...

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Computational Solid State Physics information

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$142.5K

$168.8K

$192.5K

How much do computational solid state physics jobs pay per year?

As of May 29, 2026, the average yearly pay for computational solid state physics 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 are the key skills and qualifications needed to thrive as a Computational Solid State Physicist, and why are they important?

To thrive as a Computational Solid State Physicist, you need a deep understanding of quantum mechanics, solid state theory, and numerical methods, typically supported by an advanced degree (MSc or PhD) in physics or a related field. Familiarity with programming languages (such as Python, Fortran, or C++), high-performance computing, and simulation packages like VASP or Quantum ESPRESSO is essential. Strong problem-solving skills, attention to detail, and effective communication help in interpreting results and collaborating with multidisciplinary teams. These competencies enable accurate modeling of materials and contribute to advancements in electronics, energy, and materials science.

What are some common challenges faced by professionals in computational solid state physics, and how can they be addressed?

Professionals in computational solid state physics often encounter challenges such as managing large datasets, optimizing simulation code for high-performance computing environments, and ensuring the accuracy of theoretical models. Collaborating closely with experimental physicists and materials scientists can help validate computational results and refine models. Additionally, staying current with advances in computational methods and software, as well as participating in interdisciplinary research teams, are crucial strategies for overcoming these challenges and advancing in the field.

What is computational solid state physics?

Computational solid state physics is a branch of physics that uses computer simulations and numerical methods to study the properties and behaviors of solid materials, such as crystals and metals. Researchers in this field use mathematical models and algorithms to understand electronic structure, magnetism, conductivity, and other physical phenomena at the atomic and molecular levels. This approach allows scientists to predict material properties and design new materials with specific characteristics, often complementing experimental work. The field is critical for advancements in electronics, nanotechnology, and materials science.

What jobs can you get with a computational physics degree?

A computational solid state physics degree prepares individuals for roles such as research scientist, computational physicist, materials scientist, or data analyst in industries like electronics, semiconductors, and materials development. These positions often require skills in programming, simulation software, and data analysis, and may involve working in research labs, industry, or academia.

What is the difference between Computational Solid State Physics vs Materials Scientist?

AspectComputational Solid State PhysicsMaterials Scientist
Required CredentialsPhysics or related degree, often with computational skillsMaterials science degree, often with experimental and computational skills
Work EnvironmentResearch labs, universities, industry focusing on simulationsLaboratories, industry, academia with both experimental and computational work
Employer & Industry UsageResearch institutions, tech companies, academiaManufacturing, R&D, academia, industry

Computational Solid State Physics primarily focuses on simulating and understanding the properties of solid materials using computational methods. In contrast, Materials Scientists often combine experimental and computational techniques to develop and improve materials for various applications. While both roles require a strong background in physics or materials science, Computational Solid State Physics emphasizes theoretical modeling, whereas Materials Scientists may work more broadly across research and development projects.

Infographic showing various Computational Solid State Physics job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 3% Part Time, 6% Temporary, 5% Contract, and 3% Nights. Highlights an 100% Physical job distribution, with an average salary of $168,844 per year, or $81.2 per hour.
Scientific Physics Labeling Expert

Scientific Physics Labeling Expert

CloudDevs

Manhattan, NY • On-site, Remote

$50 - $60/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Mercor is seeking PhD holders, doctoral candidates, and outstanding Master's graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab.

This position focuses on evaluating and advancing large language models (LLMs) by applying deep expertise in theoretical and applied physics to assess model reasoning, accuracy, and depth across advanced physical science domains. Key Domains Electromagnetism and Photonics Thermodynamics Optics and Acoustics Theoretical Optics Theoretical Mechanics Statistical Mechanics Atomic and Molecular Physics Solid State Physics Semiconductor Physics Fluid Physics Astrophysics and Cosmology Biophysics Electrical Engineering Mechanical Engineering Control Theory and Control Engineering Key Responsibilities Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics.

Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. Benchmark model performance on advanced physics and applied engineering problems. Work independently and asynchronously using proprietary evaluation tools.

Requirements PhD (or PhD candidate) in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. Strong command of graduate-level physics and mathematical reasoning. Excellent written communication and analytical abilities.

Ability to work independently in a remote, asynchronous setting. Proficiency in Python for scientific analysis or model evaluation preferred. Role Details Part-time (30 hours/week).

Remote and asynchronous work environment. Flexible schedule to accommodate global contributors. Compensation Contractor position via Mercor.

$50–$60/hour, depending on expertise and domain depth. Weekly payments through Stripe Connect. #J-18808-Ljbffr

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