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Computational Engineer Jobs (NOW HIRING)

Computational Imaging Engineer

Los Angeles, CA · On-site

$120.10K - $141.70K/yr

Mango is seeking an Computational Imaging Engineer to take technical ownership of our optical systems and imaging pipeline, working closely with the software, microbiology, and hardware teams. This ...

Collaborate with AI/ML, data science, and data engineering teams to build scalable analytical ... PhD in Computational Biology or a related discipline, plus 10+ track record of scientific ...

Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a ... We are seeking highly motivated Computational Plasma Physicists to join our team, focusing on ...

PhD in computational physics, applied mathematics, computational engineering, or a closely related field * Deep expertise in numerical PDE methods: FEM, FVM, or BEM -- weak formulations, quadrature ...

Computational Plasma Physicist

Kearny, NJ · On-site

$120K - $140K/yr

Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a ... We are seeking highly motivated Computational Plasma Physicists to join our team, focusing on ...

URUS is seeking a Computational Biologist to join our Innovation group as part of the team focused ... Principles of programming, data structures, algorithms, high-performance computing (HPC), and ...

You will work closely with Engineers and Scientists and will also be responsible for: * Developing ... PhD in Plasma Physics, Computational Physics, Nuclear Engineering, or a related field * Strong ...

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Computational Engineer information

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$48.5K

$121.5K

$137.5K

How much do computational engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computational engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Computational Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency in programming languages (such as Python, C++, or MATLAB), experience with simulation software (like ANSYS or COMSOL), and familiarity with high-performance computing environments are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help set top performers apart in this field. These skills are crucial for developing accurate models, optimizing complex systems, and effectively collaborating in multidisciplinary teams.

How does a Computational Engineer typically collaborate with multidisciplinary teams on complex projects?

Computational Engineers frequently work alongside professionals from various disciplines such as mechanical engineers, data scientists, and software developers. Effective collaboration often involves translating engineering problems into computational models, communicating technical requirements, and integrating simulation results into broader project workflows. Regular meetings, shared documentation, and collaborative software tools are commonly used to ensure alignment and progress. This team-based approach helps deliver accurate and actionable insights for product design, optimization, or research objectives.

What is a computational engineer?

A computational engineer is a professional who uses advanced computing techniques and mathematical models to solve complex engineering problems. They develop simulations, algorithms, and software to analyze and optimize systems in fields such as aerospace, automotive, civil engineering, and more. Their work often involves programming, data analysis, and applying principles from physics and mathematics to create efficient solutions. Computational engineers bridge the gap between traditional engineering and computer science, enabling innovation through technology.

What is the difference between Computational Engineer vs Software Engineer?

AspectComputational EngineerSoftware Engineer
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; knowledge of programming and numerical methodsBachelor's or Master's in Computer Science, Software Engineering, or related fields; strong programming skills
Work EnvironmentResearch labs, engineering firms, tech companies; often involves simulation and modelingTech companies, startups, software firms; focuses on application development and system design
Industry UsageEngineering, aerospace, automotive, scientific researchIT, software development, technology services

Computational Engineers and Software Engineers share programming skills and work in tech-related environments. However, Computational Engineers focus more on applying computational methods to engineering problems, simulations, and modeling, while Software Engineers primarily develop software applications and systems. Both roles require strong technical backgrounds but serve different industry needs.

More about Computational Engineer jobs
What cities are hiring for Computational Engineer jobs? Cities with the most Computational Engineer job openings:
What states have the most Computational Engineer jobs? States with the most job openings for Computational Engineer jobs include:
Infographic showing various Computational Engineer 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 $121,515 per year, or $58.4 per hour.
Computational Engineering Division Undergraduate Intern

Computational Engineering Division Undergraduate Intern

LLNL

Livermore, CA

$23.26 - $31.62/hr

Other

Retirement

Posted 9 days ago


Job description

Company Description

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. 

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job Description

Computational Engineering Division (CED) offers continuing undergraduate students the opportunity to engage in practical research experience to further their educational goals. Opportunities include technical and/or research support to projects in the areas of Electrical Engineering, Mechanical Engineering, Computational Engineering, or other related fields.

This position requires full-time on-site presence due to the nature of the work.

In this role you will 

  • Provide technical and/or research support for projects involving material strength characterization, additively manufactured metals, computational modeling, and AI/ML-enabled surrogate modeling.
  • Perform hands-on experimental work to determine material properties such as strength and stress-strain behavior using mechanical testing systems.
  • Support integration of stress-strain and related material data into a software workflow.
  • Assist in developing, training, and evaluating surrogate models using AI/ML methods for constitutive model emulation.
  • Prepare summaries, figures, presentations, or technical briefings to communicate research findings.
  • Attend relevant seminars.
  • Perform other duties as assigned.
Qualifications
  • Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
  • Must be a college or university student in good academic standing enrolled in an accredited institution pursuing an associates or bachelor's degree, or has completed their associate's degree in engineering, physics, computer science or a related field.
  • A sustained record of outstanding academic performance.
  • Ability to work full time for six months from July 2026 - December 2026.
  • Ability to apply basic engineering or scientific principles to solve technical problems.
  • Communication skills necessary to communicate research project(s), document work and give a technical talk/presentation.
  • Ability to present and communicate concepts and ideas.
  • Effective interpersonal skills with the ability to work in a team environment.
  • Familiarity with one or more of the following technical computing packages common in your discipline area, such as Matlab, R, or Python.
  • Experience working with computers and familiarity with Microsoft Word, Excel and PowerPoint.

Pay Range

$23.26  - $31.62  Hourly 
This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year. 

Additional Information

Why Lawrence Livermore National Laboratory?

  • Included in 2026 Best Places to Work by Glassdoor!
  • Holiday Pay
  • Sick leave accrual
  • Individual 401(k) contributions
  • Our values - visit https://www.llnl.gov/inclusion/our-values 

Security Clearance

None required.  However, this position involves U.S. Export Control; this work must be performed by a U.S. person (U.S. citizen, U.S. lawful permanent resident, U.S. national, or U.S. protected individual (e.g., refugee, asylee)).

If your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process.  This process includes completing an online background investigation form and receiving approval of the background check.  (This process does not apply to foreign nationals.)

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.  

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.