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Computational Geology Jobs (NOW HIRING)

Senior Geologist

Redwood City, CA · On-site

$185K - $250K/yr

Exposure to computational geology, geostatistics, remote sensing, or AI-enabled exploration workflows is considered beneficial Candidates from both traditional exploration and emerging computational ...

Senior Geologist

Redwood City, CA · On-site

$185K - $250K/yr

Exposure to computational geology, geostatistics, remote sensing, or AI-enabled exploration workflows is considered beneficial Candidates from both traditional exploration and emerging computational ...

... and strong computational and computer skills. Proficiency with databases, preferably Microsoft ... Bachelor of Science (BS) degree in Geology or Hydrogeology required. * One to 4 years of ...

New

... and strong computational and computer skills. Proficiency with databases, preferably Microsoft ... Bachelor of Science (BS) degree in Geology or Hydrogeology required. * One to 4 years of ...

New

The Chemical Data Scientist will focus on computational chemistry and molecular modelling. If you ... D. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering or related fields with 6+ ...

The Chemical Data Scientist will focus on computational chemistry and molecular modelling. If you ... D. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering or related fields with 6+ ...

The Geologist will assist with managing environmental projects, conducting groundwater modeling ... and strong computational and computer skills. Proficiency with databases, preferably Microsoft ...

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Computational Geology information

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$13.5K

$114K

$169.5K

How much do computational geology jobs pay per year?

As of Jun 8, 2026, the average yearly pay for computational geology in the United States is $114,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Computational Geology vs Geoscientist?

AspectComputational GeologyGeoscientist
Required CredentialsBachelor's or higher in geology, geophysics, or related field; programming skillsBachelor's or higher in geology, earth sciences, or related field; fieldwork experience
Work EnvironmentResearch labs, computer-based analysis, modelingField sites, laboratories, offices
Industry UsageData analysis, modeling, simulation in geologyExploration, resource assessment, environmental studies

Computational Geology focuses on using computer models and data analysis to understand geological processes, often working in research or tech-driven roles. Geoscientists typically engage in fieldwork and practical exploration activities. Both roles require a strong foundation in earth sciences, but Computational Geology emphasizes programming and data modeling skills, while Geoscientists focus more on field data collection and analysis.

What is computational geology?

Computational geology is a field that applies computer science, mathematics, and computational techniques to solve geological problems. This discipline involves the use of simulations, data analysis, modeling, and visualization tools to study Earth's processes, structures, and resources. By leveraging large datasets and advanced algorithms, computational geologists can make predictions about natural phenomena such as earthquakes, mineral deposits, and groundwater flow. The field is essential for both academic research and practical applications in industries like oil and gas, mining, and environmental management.

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

To thrive as a Computational Geologist, you need a solid background in geology, mathematics, and computer science, often supported by a degree in geoscience or a related field. Proficiency in programming languages (such as Python or MATLAB), GIS software, and data modeling tools is typically essential. Strong analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this role. These skills and qualities are crucial for accurately interpreting complex geological data and collaborating with multidisciplinary teams to solve real-world geological problems.

How does a computational geologist typically collaborate with other professionals in multidisciplinary projects?

Computational geologists frequently work as part of interdisciplinary teams, collaborating with geologists, engineers, data scientists, and environmental specialists. They often translate raw geological data into actionable insights using modeling and simulation tools, directly supporting exploration, resource management, or hazard assessment projects. Clear communication and the ability to explain complex computational results to non-technical stakeholders are essential, as is adaptability to shifting project goals. This collaborative environment fosters both technical growth and broader project management skills.
Infographic showing various Computational Geology job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $114,022 per year, or $54.8 per hour.

Senior Geologist

Terra AI

Redwood City, CA • On-site

$185K - $250K/yr

Full-time

Posted 16 days ago


Job description

Terra AI is building a new category at the intersection of artificial intelligence, geoscience, and critical resource development.
As global demand for copper, lithium, nickel, rare earth elements, geothermal energy, and other strategic resources accelerates, the mining and subsurface industries face a growing challenge: traditional exploration methods remain slow, expensive, and highly uncertain. Terra AI was founded to help solve this problem by redefining how critical resources are discovered, evaluated, and developed.
By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with greater confidence and capital efficiency. The company's platform integrates geological, geophysical, and drilling data into intelligent systems designed to improve targeting accuracy, accelerate discovery timelines, and reduce exploration risk.
Backed by leading investors including Khosla Ventures and working alongside strategic industry partners including Rio Tinto, Ero Copper, and Ramaco Resources, Terra AI is emerging as one of the more closely watched AI-native companies operating within the mining and critical minerals sector.
Terra AI's mission is to define the new global standard for data-driven critical resource development - breaking the cost and time curve required to support electrification, energy security, and the global energy transition.
The company operates with a strong partnership mentality, combining technical rigor, candid communication, continual learning, and environmental stewardship to help modern exploration teams solve some of the world's most important resource challenges.
Role
We are seeking a Senior Geologist to help lead geological interpretation and mineral systems modeling efforts that support Terra AI's exploration workflows. In this role, you will work closely with geologists, geophysicists, and machine learning engineers to integrate complex geological datasets into modern exploration models supporting critical minerals discovery.
  • Interpret and integrate geological, geochemical, and geophysical datasets across multiple scales
  • Build robust mineral systems and exploration models supporting probabilistic targeting workflows
  • Support geological feature engineering and modern computational exploration workflows
  • QA/QC historical and modern exploration datasets to improve modeling confidence
  • Collaborate closely with internal and external technical teams across geology, geophysics, and engineering
  • Produce technical reports, visualizations, and exploration recommendations for global projects
  • Provide geological expertise to support the automation and improvement of exploration workflows

Qualifications
  • Experience in economic geology, mineral exploration, or mine development
  • Strong experience in critical minerals and base metals geology
  • Proficiency with GIS and 3D geological modeling software
  • Experience integrating geological and exploration datasets into cohesive exploration models
  • Strong understanding of geochemistry and mineralization systems
  • Exposure to computational geology, geostatistics, remote sensing, or AI-enabled exploration workflows is considered beneficial

Candidates from both traditional exploration and emerging computational geology environments are encouraged to apply.
We recognize that exceptional candidates may come from a variety of professional, technical, and industry backgrounds. If your experience aligns closely with the spirit of the role, we encourage you to apply even if you do not meet every listed qualification.
Compensation
$185,000- $250,000 + Equity
In accordance with California law, Terra AI provides a good faith base salary range for roles that may be performed in California. Actual compensation will be determined based on experience, qualifications, skills, and market considerations. In addition to base salary, total compensation may include performance bonus opportunities, equity participation, and a comprehensive benefits package.
Terra AI is an equal opportunity employer and is committed to building a diverse and inclusive team. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic under applicable law.