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Physics Computer Science Jobs (NOW HIRING)

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How much do physics computer science jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for physics computer science in the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 per hour, depending on experience, location, and employer.

What is a Physics Computer Science?

A Physics Computer Science job involves applying computational methods to solve physics-related problems. Professionals in this field use programming, data analysis, and simulations to model physical systems, develop algorithms, and analyze complex datasets. These roles are common in research institutions, engineering firms, and technology companies working on areas like quantum computing, scientific simulations, and machine learning. Knowledge of both physics principles and computer science techniques is essential for success in this interdisciplinary field.

What kinds of projects or problems do professionals in Physics Computer Science typically work on?

Professionals in Physics Computer Science often work on projects involving simulation of physical systems, large-scale data analysis from experiments, algorithm development for modeling natural phenomena, or creating custom software for research applications. Their daily responsibilities may include coding, running simulations, analyzing complex datasets, or collaborating with physicists and engineers to solve technical challenges. Many roles are highly collaborative, requiring regular teamwork with multidisciplinary research groups, and offer the opportunity to publish findings or contribute to open-source projects. This environment provides substantial opportunities for learning and professional growth, especially for those interested in fields like scientific research, biotechnology, or advanced engineering.

What are the key skills and qualifications needed to thrive in Physics Computer Science, and why are they important?

To thrive in a Physics Computer Science role, you need a strong understanding of both physics principles and computer science concepts, typically demonstrated through a relevant degree and experience in scientific computing or data analysis. Familiarity with programming languages such as Python, C++, MATLAB, and tools like simulation software or computational frameworks is often required. Analytical thinking, problem-solving ability, and effective teamwork are crucial soft skills in this interdisciplinary field. These competencies enable professionals to bridge the gap between theoretical physics and practical computational solutions, driving innovation and accurate research outcomes.

What can I do with physics and computer science?

A physics computer science graduate can work in fields such as data analysis, simulation, software development, and research, often applying programming languages like Python, C++, or MATLAB. They may find roles in industries like technology, aerospace, finance, or academia, where skills in algorithms, modeling, and computational methods are valued.
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Infographic showing various Physics Computer Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

Remote Sensing OPIR Engineer - #898

Dayton, OH โ€ข On-site

Allen Integrated Solutions
Guided Missile and Space Vehicle Manufacturingย โ€ขย 11 - 50 employees

Full-time

Posted 15 days ago


Job description

Remote Sensing OPIR Engineer - #898

Clearance Required:ย  TS/SCIย 

Minimum Years' Experience: 5 years of experience in EO/IR algorithm development

Dayton, Ohio - 100% onsite

Overall Assignment Description:ย 

ย 

Allen Integrated Solutions is seeking a highly skilled Remote Sensing OPIR Engineer to support the National Geospatial-Intelligence Agency (NGA) in infrared sensing, space-based missile warning systems, data exploitation, and algorithm development. The ideal candidate will possess a strong technical background in electro-optical/infrared (EO/IR) systems, infrared phenomenology, Overhead Persistent Infrared (OPIR) data analysis, and remote-sensing software development.

This role requires demonstrated experience working with complex sensor systems, developing and testing advanced analytical capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.

Responsibilities
  • Prototype and develop advanced OPIR data-processing algorithms and support their transition into operational environments.
  • Evaluate and troubleshoot data-processing pipelines, identify anomalies, and coordinate remediation strategies.
  • Support the development of white papers, technical documentation, and technology-transition plans.
  • Collaborate with research organizations, Department of Defense stakeholders, Intelligence Community organizations, and external agencies.
Required Qualifications
  • Active TS/SCI clearance.
  • Bachelor's degree in computer engineering, physics, computer science, or a related technical field.
  • At least five years of experience in EO/IR algorithm development.
  • Advanced understanding of EO/IR signal processing, artificial intelligence and machine learning applications, and target-system phenomenology.
  • Detailed experience with OPIR data formats and processing pipelines.
  • Advanced Python development skills.
  • Strong analytical and problem-solving skills, including the ability to diagnose sensor-performance issues, data anomalies, and software problems.
Desired Qualifications
  • Direct experience performing OPIR analysis.
  • Master's degree in computer engineering, physics, computer science, or a related technical field.
  • Experience collaborating with NGA, NASIC, or other Intelligence Community organizations.
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