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Remote Computational Engineering Jobs (NOW HIRING)

Familiarity with engineering simulation, FEA, or computational fluid dynamics workflows Why Join Us * Work on genuinely cutting-edge AI projects alongside top research labs * Fully remote and ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... This effort aims to strengthen the University's leadership in computational and data-driven ...

Senior Mechanical Engineer (USA)

$107K - $141.30K/yr

United States (Remote or In-Office) Ehvert Inc., a wholly owned subsidiary of Salas O'Brien has an ... and other relevant engineering software (Computational Fluid Dynamics software). * Strong ...

$201.80K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Stay up to date with advancements in software engineering and computational research technologies ...

Design Engineer

Gorham, ME ยท On-site +1

... computational modeling, and digital design activities. This position ensures engineering decisions ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

Design Engineer

Meridian, ID ยท On-site +1

... computational modeling, and digital design activities. This position ensures engineering decisions ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

Design Engineer

Rowley, MA ยท On-site +1

... computational modeling, and digital design activities. This position ensures engineering decisions ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

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Remote Computational Engineering information

See salary details

$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.

Remote Engineering Manager: Protocol Optimization - Gauntlet

Blockchain Works

Manhattan, NY โ€ข Remote

$200K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Gauntlet is a leader in quantitative research and DeFi economics optimization, specializing in risk management, growth facilitation, and ensuring the economic robustness of key DeFi protocols. Managing over $13 billion in customer TVL as of January 2024, our efforts are vital to the industry's leading protocols. We are known for our significant research contributions, paralleling the impact of top academic institutions in DeFi.

As a Series B company with a 60-member team, we operate on a remote-first basis from New York City. Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization.

Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation. Responsibilities Lead a team of data scientists and software engineers to create impactful products. Apply robust mathematical and theoretical principles to inform practical, effective product development decisions.

Maintain the highest quality standards across all data science and engineering initiatives. Articulate and execute against clear product vision that aligns team goals and the broader objectives of the company. Promote team growth and individual development, fostering an environment of collaboration and continuous improvement.

Qualifications 5+ years of technical modeling or analysis experience, ideally developing or interfacing directly with production systems; 1+ years of direct management experience Proven ability to mentor and coach junior engineers Ability to balance long-term thinking and planning with short-term execution on tactical goals High standard for engineering excellence and experience creating processes and an environment where team members can do their best work Strong written and verbal communication skills Our Ideal Candidate Has leadership experience in data science or software engineering, preferably with knowledge in optimization theory, mechanism design, or computational economics. Possesses a solid mathematical and theoretical background, applicable in practical settings. Can simplify complex concepts into understandable ideas.

Is effective at communicating clear goals and strategies, rallying the team, partners, and customers around shared objectives. Is dedicated to mentoring and supporting team development. Prioritizes impact and quality, aiming to make significant contributions to the DeFi landscape.

Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application. The national pay range for this role is $200,000 plus additional On Target Earnings potential by level and equity in the company.

Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company. #J-18808-Ljbffr