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Remote Computational Engineering Jobs (NOW HIRING)

Computational Physicist (PhD) Bay Area preferred; exceptional remote candidates considered ... Strong analytical skills paired with practical scientific programming ability * Proficient in C ...

Staff Computational Biologist

Lexington, MA · On-site +1

$195.59K - $230.10K/yr

Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work ... Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 ...

$109.30K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Completion of a MS or MSc in an engineering, IT, or scientific discipline * Experience conducting ...

Computational Chemistry/Physics (MS/BS) Bay Area preferred; exceptional remote candidates ... Strong scientific programming skills in Python and/or C++ * Comfortable working with mathematical ...

Higharc is hiring an Engineering Manager with a strong computational geometry and CAD background to ... The role reports to the Director of Engineering and is remote within the US or Canada. What You'll ...

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... Use best practices in software engineering and ensure appropriate data governance and ...

$80 - $115/hr

About the job Remote | Physics Research Expert - $80-$115/hour We are sharing a specialised ... computational modeling, experimental design, scientific data analysis, scientific programming, and ...

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Remote Computational Engineering information

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$48.5K

$121.5K

$137.5K

How much do remote computational engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computational engineering 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 Remote Computational Engineer, and why are they important?

To thrive as a Remote Computational Engineer, you need strong analytical and mathematical abilities, proficiency in computational modeling, and a degree in engineering, mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or C++), high-performance computing systems, and relevant simulation software is typically required. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in a remote environment. These skills ensure that you can develop accurate models, contribute to complex projects, and maintain productivity while working independently.

How does a remote computational engineer typically collaborate with team members on complex projects?

Remote computational engineers often use collaborative software tools, such as version control systems, cloud-based simulation platforms, and video conferencing, to stay connected with their teams. They regularly participate in virtual meetings, share project updates, and review code or modeling results together. Despite working remotely, strong communication skills are essential to coordinate with multidisciplinary teams, address technical challenges, and ensure alignment on project goals and deadlines.

What is remote computational engineering?

Remote computational engineering involves using computer-based simulations and modeling tools to solve engineering problems from a remote location, rather than working onsite. Professionals in this field apply advanced mathematics, physics, and programming to design, analyze, and optimize systems or products. They often collaborate with teams virtually and use software to perform tasks such as finite element analysis (FEA), computational fluid dynamics (CFD), or algorithm development. This role enables flexibility in work location while contributing to innovative engineering projects across various industries.

What is the difference between Remote Computational Engineering vs Remote Data Scientist?

AspectRemote Computational EngineeringRemote Data Scientist
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; programming skillsBachelor's or higher in statistics, computer science, or related fields; programming and statistical skills
Work EnvironmentCollaborative engineering teams, simulation labs, software developmentData analysis teams, research environments, analytics platforms
Industry UsageEngineering firms, tech companies, manufacturing
Common Search IntentComparing roles in engineering and technical development

Remote Computational Engineering and Remote Data Scientist roles share a focus on programming and analytical skills, often requiring similar educational backgrounds. However, computational engineers typically work on simulations, modeling, and engineering solutions, while data scientists focus on analyzing data to derive insights. Both roles are prevalent in tech-driven industries and often involve remote collaboration, but their core functions differ in application and industry focus.

More about Remote Computational Engineering jobs
What cities are hiring for Remote Computational Engineering jobs? Cities with the most Remote Computational Engineering job openings:
What are the most commonly searched types of Computational Engineering jobs? The most popular types of Computational Engineering jobs are:
What states have the most Remote Computational Engineering jobs? States with the most job openings for Remote Computational Engineering jobs include:
Infographic showing various Remote Computational Engineering job openings in the United States as of May 2026, with employment types broken down into 8% Full Time, and 92% Part Time. Highlights an 7% Physical, 20% Hybrid, and 73% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computational Physicist (PhD)

Azulene Labs

On-site, Remote

Full-time

Posted 10 days ago


Job description

Computational Physicist (PhD)

Bay Area preferred; exceptional remote candidates considered Full-Time

Startup-level salary plus substantial equity

Job Description

We're looking for a computational physicist to develop new physics-based algorithms for molecular and materials simulation, combining deep analytical reasoning with high-performance scientific computing.

What You'll Do

  • Develop and deploy new physics-based models and algorithms for molecular and materials simulations
  • Spend significant time on analytical and mathematical work: deriving methods, testing approximations, and validating theory
  • Write high-performance C++ and Python code, often with parallel or accelerator-based approaches
  • Own projects end-to-end, from concept and theory through prototyping, scaling, and deployment
  • Collaborate closely within a small, highly technical, cross-disciplinary team

Who You Are

  • PhD in chemical physics, applied physics, high-energy physics, mathematics, or a closely related field
  • Deep understanding of quantum mechanics and statistical mechanics
  • Proven experience developing new mathematical or computational models
  • Strong analytical skills paired with practical scientific programming ability
  • Proficient in C++ and/or Python; experience with OpenMP, MPI, CUDA, or Triton is a plus

Why Azulene Labs

  • Fundamental, high-impact scientific problems with real-world consequences
  • Significant equity as an early technical hire
  • Culture that rewards rigor, curiosity, and intellectual ownership