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Computational Geophysics Jobs (NOW HIRING)

ENSCO, Inc.

Staff Geophysicist

Chantilly, VA

Apply advanced computational techniques to analyze seismic, acoustic, and electromagnetic sensor data. Advanced Modeling and Analysis * Perform in-depth analysis of geophysical data using physics ...

ENSCO, Inc.

Staff Geophysicist

Chantilly, VA · On-site

Apply advanced computational techniques to analyze seismic, acoustic, and electromagnetic sensor data. Advanced Modeling and Analysis * Perform in-depth analysis of geophysical data using physics ...

ExxonMobil

Geophysics Specialist - Advanced

Spring, TX · On-site

Bring to bear the latest geophysical and computational industry advances to imaging and inversion ... Work with computational scientists and software engineers to validate and deliver new imaging and ...

ExxonMobil

Geophysics Specialist - Advanced

Spring, TX · On-site

Bring to bear the latest geophysical and computational industry advances to imaging and inversion ... Work with computational scientists and software engineers to validate and deliver new imaging and ...

Terra AI

Senior Geologist

Redwood City, CA · On-site

$185K - $250K/yr

The company's platform integrates geological, geophysical, and drilling data into intelligent ... Support geological feature engineering and modern computational exploration workflows * QA/QC ...

Terra AI

Senior Geologist

Redwood City, CA · On-site

$185K - $250K/yr

The company's platform integrates geological, geophysical, and drilling data into intelligent ... Support geological feature engineering and modern computational exploration workflows * QA/QC ...

Computational Physics, Inc.

GNSS Scientist

Washington, DC · On-site

$105K - $135K/yr

Computational Physics, Inc. (CPI) is looking for a GNSS Analyst or Mathematician to support our ... Degree in geodesy, geophysics, physics, applied mathematics, computer science, or a related field

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Computational Geophysics information

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How much do computational geophysics jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for computational geophysics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Geophysicist, and why are they important?

To thrive as a Computational Geophysicist, you need a strong background in geophysics, mathematics, and computer science, typically supported by an advanced degree in a related field. Proficiency with programming languages (such as Python, MATLAB, or Fortran), high-performance computing, and specialized geophysical modeling software is essential. Strong analytical thinking, problem-solving skills, and effective communication set top professionals apart in this role. These skills are critical for developing accurate models, interpreting complex data, and collaborating on multidisciplinary research projects.

What is computational geophysics?

Computational geophysics is a field that uses computer modeling, simulations, and data analysis to study the Earth's physical properties and processes. It combines geophysical theory with advanced computing to analyze large datasets, run simulations, and interpret results related to earthquakes, subsurface structures, and other geological phenomena. Computational geophysicists often develop and use algorithms to solve complex problems, such as imaging the Earth's interior or predicting natural hazards. This work is essential for resource exploration, environmental monitoring, and understanding fundamental Earth processes.

What are some common challenges faced by computational geophysicists when working on large-scale simulations?

Computational geophysicists often deal with significant challenges related to managing and processing large datasets, as well as ensuring the accuracy and efficiency of complex numerical models. Issues such as limited computational resources, code optimization, and troubleshooting errors in simulation outputs are frequent. Collaboration with other geoscientists and IT specialists is essential to refine models and interpret results effectively. Staying updated with the latest advancements in high-performance computing and software tools also plays a crucial role in overcoming these hurdles.
Infographic showing various Computational Geophysics job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Scientific AI Evaluation & Computational Problem Designer

Weekday AI

Remote

$45 - $100/hr

Part-time

Posted 5 days ago

Job description

This role is for one of our clients
Compensation: $45-$100 per hour
We are building a large-scale evaluation benchmark to test advanced AI reasoning across scientific and engineering domains. This role focuses on designing rigorous, research-grade computational problems that assess how effectively AI systems can leverage real scientific software tools to solve complex challenges.
Unlike traditional annotation roles, this position requires creating original, graduate-level problems rooted in real-world scientific workflows. You will iteratively refine these problems through calibration against state-of-the-art AI models, ensuring the right balance of difficulty, depth, and reasoning complexity.
Requirements
What You'll Do
  • Design advanced computational problems requiring the use of domain-specific scientific software
  • Create tasks that test both precise execution (multi-step workflows, simulations) and strategic reasoning (experiment design, inference from partial data)
  • Develop problem setups, solution pathways, and validation mechanisms
  • Calibrate and refine tasks based on model performance to achieve target difficulty levels
  • Ensure problems emphasize reasoning strategy over brute-force computation

Domains & Tools of Interest
We are particularly seeking candidates with hands-on experience in:
  • Bioinformatics & Single-Cell Genomics: scanpy, scvelo, squidpy, gudhi (RNA-seq, trajectory inference, spatial transcriptomics)
  • Computational Chemistry: PySCF (HF, DFT, TDDFT, CASSCF, post-HF methods)
  • Particle & Nuclear Physics: scikit-hep, Monte Carlo simulations, collider data analysis
  • Electrical Engineering: scikit-rf, ngspice (RF systems, circuit simulation)
  • Astrophysics & Cosmology: astropy (cosmological modeling, survey analysis)
  • Structural & Mechanical Engineering: scikit-fem (finite element analysis, elasticity, beam theory)
  • Seismology & Geophysics: ObsPy, SPECFEM (waveform analysis, inversion, tomography)
  • Pharmacokinetics & Systems Biology: libRoadRunner, Tellurium, SBML-based tools

Experience with other specialized tools in related domains is also welcomed.
What Makes You a Strong Fit
  • Graduate-level expertise (MS or PhD preferred) in a relevant STEM field
  • Hands-on experience using scientific software libraries for real research problems
  • Strong Python programming skills, including building computational workflows and validators
  • Ability to design challenging problems that require deep reasoning rather than surface-level solutions
  • Familiarity with edge cases, limitations, and practical challenges of scientific tools

Requirements
  • Demonstrated proficiency with at least one relevant scientific library (via research, open-source work, or industry experience)
  • Ability to work independently and iterate based on feedback
  • Comfort working in Linux/terminal environments and remote compute setups
  • Availability of at least 15-20 hours per week

Nice to Have
  • Experience across multiple domains or tools
  • Background in evaluation frameworks or benchmarking
  • Experience in teaching, pedagogy, or problem-set design
  • Familiarity with reproducible research practices and containerized environments

Engagement Details
  • Independent contractor role
  • Fully remote with flexible scheduling
  • Project scope may evolve based on performance and research needs

Compensation & Payments
  • Competitive compensation based on expertise and domain specialization
  • Weekly payments via supported global payment platforms

Additional Information
  • Work must not involve sharing confidential or proprietary information from any current or past employer or institution
  • Projects may be extended, modified, or concluded based on performance and business requirements
  • This opportunity does not currently support certain work authorization categories

Apply