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Computational Engineer Jobs (NOW HIRING)

As a Computational Biologist II (Protein Engineering), you will contribute to cutting edge research by applying computational approaches to protein structure prediction, design, and optimization. You ...

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

Position Summary We are seeking a Computational Biologist who is passionate about using data-driven ... Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake ...

Stay up to date with advancements in computational techniques, programming languages, and physical theories to apply state-of-the-art methodologies to projects. * Contribute to academic papers ...

Position Summary We are seeking a Computational Biologist who is passionate about using data-driven ... Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake ...

We are seeking a Computational Multiphysics Engineer with expertise in numerical methods and mathematical simulation to support the design and analysis of advanced antenna systems integrated into ...

... engineering fundamentals and experience working with bioinformatics tools and pipelines • Working knowledge of statistical and machine learning methods applied to biological data (e.g. regression ...

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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 Aug 6, 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.

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.

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 do computational engineers do?

Computational engineers develop and apply mathematical models, algorithms, and simulations to solve complex engineering problems. They often use programming languages and software tools to analyze data, optimize systems, and support design processes across various industries such as aerospace, automotive, and energy.

How much do computational engineers make?

Computational engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in programming, simulation, or data analysis can command higher salaries, especially in high-demand sectors like aerospace, defense, or technology companies.

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 August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Nonlinear Computational Analysis Engineer

LLNL

Livermore, CA • On-site

Full-time

Retirement

Re-posted 6 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
Wehave multiple openings for experienced Nonlinear Computational Analysis Engineers with a strong background in computational mechanics, material failure, high-rate dynamics, and multi-physics analysis. You will support design and assessment efforts for complex mechanical systems and structures using massively parallel, high-performance, nonlinear, hydrostructural analysis codes developed at Lawrence Livermore National Laboratory (LLNL). Your efforts will support a variety of projects aligned with one or more of LLNL's Strategic Deterrence, National Ignition Facility & Photon Science, or Global Security mission areas, including high-priority national security efforts in missile defense, space science and security, and laser applications. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.
These positions will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.
In this role you will
  • Assess and contribute to the response of complex mechanical systems subject to high-rate loading, including laser-matter interaction, blast and hypervelocity impact problems, as part of a multi-disciplinary project team.
  • Work under limited direction to effectively manage concurrent technical tasks in a multi-disciplinary team environment, including the development of large, geometrically complex finite element models.
  • Apply comprehensive technical knowledge to guide the successful completion of project goals, including the assessment of the post-failure response of materials and structures subjected to high-rate loadings.
  • Perform verification analyses to check computational methods against analytical solutions and verify that methods converge properly and participate in technical peer review processes to ensure analytical rigor and quality.
  • Participate and collaborate in training, briefings, or other program-related events, including contributing to meetings with sponsors, other DOE Laboratories, and U.S. government agencies, which will require occasional travel.
  • Ensure appropriate security requirements are met for all levels of classified/unclassified information with limited direction.
  • Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level
  • Work independently to effectively manage concurrent technical tasks in a multi-disciplinary team environment, where commitments and deadlines are critical to project success.
  • Apply advanced technical knowledge and methodologies to guide the successful completion of project and organizational goals and serve as the primary technical contact on tasks and projects.
  • Resolve technical objectives and criteria to satisfy project objectives and execute the appropriate technical approaches with minimal direction.
  • Collaborate with technical area leaders, project leaders, and program management to represent technical capabilities and project results to internal management and external sponsors.

Qualifications
  • Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
  • Master's degree in mechanical engineering, aerospace engineering, structural engineering, structural/applied mechanics or related field, or an equivalent combination of education and related experience.
  • Comprehensive knowledge of computational structural mechanics, with experience in one or more of the following areas: material failure, high-rate system dynamics (e.g., penetration mechanics, hydrodynamics, or shock physics), hypervelocity impact, explosive modeling, or laser-matter interaction.
  • Proficient verbal and written communication skills needed to present and explain technical information, document work, prepare and present high-quality research papers, and provide technical summaries to project leadership.
  • Experience using programming or scripting languages such as Python to facilitate technical analysis.
  • Experience documenting research results in formal reports.
  • Ability to work independently and as a member of a multidisciplinary team.
  • Ability to travel.

Additional qualifications at the SES.3 level
  • Advanced knowledge of computational structural mechanics and state-of-the-art modeling and simulation techniques, with significant experience in one or more of the following areas: material damage and failure mechanisms, high-rate system dynamics, hypervelocity impact, explosive modeling, or laser-matter interaction.
  • Advanced verbal and written communication skills needed to effectively collaborate in a team environment, guide the technical direction of projects, prepare and present successful proposals, and provide advice to management and sponsors.
  • Significant experience using programming or scripting languages such as Python to facilitate complex technical analysis.

Qualifications We Desire
  • PhD in mechanical engineering, aerospace engineering, structural engineering, structural/applied mechanics or a related field.
  • Demonstrated knowledge of advanced constitutive models for the response and equation of state for metals, composites, ceramics, foams, geologic materials, or polymers.
  • Experience in large-scale scientific facilities, experimental programs, or national laboratory environments.
  • Experience with NNSA laboratory codes (ALE3D, ParaDyn, Diablo, Sierra) or NIF-specific simulation codes in production analysis environments.
  • Ability to secure and maintain access to Sensitive Compartmented Information (SCI).

Pay Range
$146,340 - $222,564 Annually
$146,340 - $185,544 Annually for the SES.2 level
$175,530 - $222,564 Annually for the SES.3 level
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Additional Information
#LI-Hybrid
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?
  • Included in 2026Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance.If you are selected, wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
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 useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate 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.
CaliforniaPrivacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob 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 .