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Computational Engineer Jobs (NOW HIRING)

Voltai

Computational Scientist

Palo Alto, CA · On-site

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 ...

Thea Energy

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 ...

Type One Energy

Computational Physicist

Madison, WI · On-site

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 ...

Transcripta Bio

Computational Biologist

Palo Alto, CA · On-site

PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of ... Strong programming proficiency in Python and/or R is a plus * Experience building and running ...

Trans Ova Genetics

Computational Biologist

Madison, WI · On-site

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 ...

Cloudera

Design and run computational engineering pipelines for prototyping AI solutions that clients target for production implementation * Turn promising and practical results into customer solutions to ...

Thea Energy

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 Group LP

Computational Biologist

Madison, WI · On-site

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 ...

Farm Systems

Computational Biologist

Madison, WI · On-site

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 ...

AgSource

Computational Biologist

Madison, WI · On-site

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 ...

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All JobsComputational Engineer Jobs

Computational Engineer information

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$48.5K

$121.5K

$137.5K

How much do computational engineer jobs pay per year?

As of Jun 26, 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.

Can computer engineers make $500,000?

Computer engineers can potentially earn $500,000 or more annually, especially with advanced skills in areas like software development, hardware design, or cybersecurity, and in senior or executive roles. Achieving this level often requires extensive experience, specialized expertise, and working in high-paying industries or companies, sometimes with additional bonuses or stock options.

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.

Are computational engineers in demand?

Computational engineers are in high demand across industries such as aerospace, automotive, and technology due to their expertise in modeling, simulation, and programming. The growing reliance on advanced software tools and high-performance computing systems continues to drive job opportunities for professionals with skills in programming languages like Python and C++, as well as experience with simulation software. Employment prospects are strong, especially for those with specialized knowledge in areas like data analysis, machine learning, and systems engineering.

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 improve designs across various industries such as aerospace, automotive, and energy.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

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:
What job categories do people searching Computational Engineer jobs look for? The top searched job categories for Computational Engineer jobs are:
Computational Engineer jobs near you
Infographic showing various Computational Engineer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computational Scientist

Voltai

Palo Alto, CA • On-site

Full-time

Posted 6 days ago

Job description

About Voltai
Voltai is developing world models, and agents to learn, evaluate, plan, experiment, and interact with the physical world. We are starting out with understanding and building hardware; electronics systems and semiconductors where AI can design and create beyond human cognitive limits.

About the Team

Backed by Silicon Valley’s top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents.

What You'll Work On

  • Develop and scale MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field problems on complex 3D IC geometries across multi-node GPU clusters

  • Tune and extend AMG preconditioners, Krylov solvers, and mesh pipelines for performance and correctness at scale

  • Build and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers

  • Design simulation pipelines that generate training data for neural operator models — including sampling strategies, mesh handling, and physical consistency checks

  • Validate everything: analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates

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 formulations, quadrature, convergence, error analysis

  • Strong C++ and CUDA — writing and optimizing kernels, memory hierarchy, multi-GPU programming

  • Multi-node HPC: MPI, domain decomposition, collective communication, strong/weak scaling

  • Sparse linear algebra at depth: Krylov methods, algebraic multigrid, preconditioning strategies

  • Hands-on experience with neural operators (FNO, DeepONet, or equivalent) — training, architecture design, and evaluation on PDE datasets

  • Solid understanding of AI for Science methodology: how to design datasets from simulations, handle out-of-distribution generalization, and ensure physical consistency of learned models

Strongly Preferred

  • Experience with HYPRE, PETSc, and Trilinos

  • Familiarity with multi-node GPU clusters: NCCL, CUDA-aware MPI, NVLink topologies

  • Published work in neural operators, physics-informed ML, or scientific HPC

  • IC design domain knowledge: device physics, semiconductor materials, layout data formats