ZipRecruiter

Log In

1

Computational Engineering Jobs in Atlanta, GA (NOW HIRING)

Goldbelt, Inc.

Senior Bioinformatician

Atlanta, GA · On-site

Collaborate with epidemiologists, laboratorians, statisticians, and software developers to translate surveillance needs into computational solutions * Recommend new analytical methods, software tools ...

Goldbelt, Inc.

Senior Bioinformatician

Atlanta, GA · On-site

Collaborate with epidemiologists, laboratorians, statisticians, and software developers to translate surveillance needs into computational solutions * Recommend new analytical methods, software tools ...

Goldbelt, Inc.

Senior Bioinformatician

Atlanta, GA · On-site

Collaborate with epidemiologists, laboratorians, statisticians, and software developers to translate surveillance needs into computational solutions * Recommend new analytical methods, software tools ...

Goldbelt, Inc.

Senior Bioinformatician

Atlanta, GA · On-site

Collaborate with epidemiologists, laboratorians, statisticians, and software developers to translate surveillance needs into computational solutions * Recommend new analytical methods, software tools ...

next page

Showing results 1-20

All JobsComputational Engineering JobsComputational Engineering Jobs in Atlanta, GA

Computational Engineering information

See Atlanta, GA salary details

$46.6K

$116.9K

$132.2K

How much do computational engineering jobs pay per year?

As of Aug 30, 2026, the average yearly pay for computational engineering in Atlanta, GA is $116,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a computational engineer?

A Computational Engineering job involves using mathematical models, algorithms, and computer simulations to analyze and solve engineering problems. It combines principles from computer science, applied mathematics, and engineering to improve product design, optimize systems, and enhance efficiency in various industries. Professionals in this field develop software tools, conduct simulations, and utilize high-performance computing to solve complex engineering challenges in areas such as aerospace, automotive, energy, and healthcare.

What skills and qualifications are needed to thrive as a computational engineer?

To thrive as a Computational Engineer, a strong background in mathematics, computer science, and engineering fundamentals is essential, generally supported by a degree in computational engineering or a related field. Familiarity with programming languages like Python, MATLAB, or C++, as well as experience using simulation software and high-performance computing systems, is typically required. Analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaboration and innovation. These competencies enable Computational Engineers to develop accurate models, optimize complex systems, and deliver efficient solutions in multidisciplinary environments.

What are some common challenges computational engineers face in their work?

Computational Engineers often encounter complex, large-scale problems that require developing accurate and efficient computational models, which can be challenging due to intricacies in physical systems or computational resource limitations. Managing tight project deadlines while ensuring high-quality results and adapting to rapidly evolving technology are also common aspects of the role. Collaboration across multidisciplinary teams—often with scientists, designers, or other engineers—requires strong communication and adaptability. Embracing these challenges can help Computational Engineers expand their expertise and positively impact project outcomes.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, as it involves using advanced modeling, simulation, and programming skills to solve complex engineering problems. The field offers strong job growth prospects, especially for those proficient in programming languages, numerical methods, and software tools like MATLAB or Python.

What does a computational engineer do?

A computational engineer develops and applies mathematical models, algorithms, and simulations to solve complex engineering problems. They often use programming languages and software tools to analyze data, optimize systems, and improve designs across various engineering disciplines.

What are the most commonly searched types of Computational Engineering jobs in Atlanta, GA?

The most popular types of Computational Engineering jobs in Atlanta, GA are:

What are popular job titles related to Computational Engineering jobs in Atlanta, GA?

For Computational Engineering jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Computational Engineering jobs in Atlanta, GA look for?

The top searched job categories for Computational Engineering jobs in Atlanta, GA are:

Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in Atlanta, GA as of August 2026, with employment types broken down into 6% Internship, 68% Full Time, 8% Part Time, 11% Temporary, and 7% Contract. Highlights an 85% In-person, 7% Hybrid, and 8% Remote job distribution, with an average salary of $116,856 per year, or $56.2 per hour.

Computational Physics Expert - Remote

Atlanta, GA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 4 days ago

Job description

Job Title: Computational Physics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Computational Physics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide real-world examples of computational physics problem-solving and demonstrate how modern AI coding agents can be applied to sophisticated technical workflows.

The ideal candidate is a STEM professional with hands-on experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork as active tools in computational and technical work.

No prior experience in AI training is required—your computational physics expertise, technical judgment, and ability to apply agentic tools to complex problems are what matter most.

Scope of Work
  • Provide detailed, real-world walkthroughs of computational physics problem-solving using AI coding agents in complex technical environments.
  • Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical workflows.
  • Document how AI agents are used for tasks such as navigating large codebases, debugging complex issues, developing sophisticated features, and automating multi-step workflows.
  • Clearly describe the approaches, technical decisions, methodologies, and agent-generated sequences used to solve computational problems.
  • Evaluate workflows in which AI agents contribute to architectural changes, codebase modifications, debugging, and ambiguous computational challenges.
  • Develop high-quality technical examples, evaluations, and feedback to support AI training and model improvement.
  • Analyze the accuracy, effectiveness, and limitations of AI-generated solutions in computational physics contexts.
  • Communicate technical findings and insights through clear written and verbal documentation.
  • Collaborate with project stakeholders to refine technical examples, workflows, and evaluation criteria.
Required Skills
  • Computational Physics
  • Python
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • Debugging
  • Technical Documentation
  • Architectural Change Management
  • Problem-Solving
  • Technical Communication
Preferred Qualifications
  • Advanced hands-on experience in computational physics, scientific computing, numerical methods, simulation, or related technical fields.
  • Demonstrated experience using Codex, Claude Science, Claude Code, and Claude Cowork in real-world technical workflows.
  • Current or recent experience as a STEM professional applying AI coding agents to complex technical problems beyond basic coding assistance.
  • Strong Python programming skills and experience working with scientific or computational codebases.
  • Ability to clearly explain complex, end-to-end technical solutions and the role AI agents played throughout the workflow.
  • Experience generating and evaluating agent-driven sequences and multi-step workflows, rather than relying primarily on conversational AI interactions.
  • Experience debugging complex systems and identifying subtle technical issues with the assistance of AI coding agents.
  • Familiarity with architectural change management, refactoring, and development within large or complex codebases.
  • Strong written and verbal communication skills, with the ability to produce detailed and technically accurate documentation.
  • Strong analytical thinking and the ability to evaluate AI-generated technical solutions critically.