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Remote Computational Engineering Jobs in Raleigh, NC

Contemporaries

Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for ... programming environment * Improve computational performance, reduce package dependencies, and ...

RTI International

Director, Epidemiology

Durham, NC · On-site +1

... engineering, and other technical disciplines to solve the world's most challenging problems. We ... Remote work options within the US are available with a strong preference towards NC, MA, and NJ. At ...

RTI International

Director, Epidemiology

Raleigh, NC · On-site +1

... engineering, and other technical disciplines to solve the world's most challenging problems. We ... Remote work options within the US are available with a strong preference towards NC, MA, and NJ. At ...

RTI International

Director, Epidemiology

Raleigh, NC · On-site +1

... engineering, and other technical disciplines to solve the world's most challenging problems. We ... Remote work options within the US are available with a strong preference towards NC, MA, and NJ. At ...

RTI International

Director, Epidemiology

Durham, NC · On-site +1

... engineering, and other technical disciplines to solve the world's most challenging problems. We ... Remote work options within the US are available with a strong preference towards NC, MA, and NJ. At ...

All JobsComputational Engineering JobsRemote Computational Engineering JobsRemote Computational Engineering Jobs in Raleigh, NC

Remote Computational Engineering information

See Raleigh, NC salary details

$47.1K

$118.1K

$133.7K

How much do remote computational engineering jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote computational engineering in Raleigh, NC is $118,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $127,800.00 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.

What are popular job titles related to Remote Computational Engineering jobs in Raleigh, NC? For Remote Computational Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Computational Engineering jobs in Raleigh, NC look for? The top searched job categories for Remote Computational Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Computational Engineering jobs? Cities near Raleigh, NC with the most Remote Computational Engineering job openings:
Remote Computational Engineering jobs near you
Infographic showing various Remote Computational Engineering job openings in Raleigh, NC as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 17% In-person, 17% Hybrid, and 66% Remote job distribution, with an average salary of $118,123 per year, or $56.8 per hour.

Staff ML Scientist - Neuromorphic Computing & Spiking Neural Networks

Triangle Workforce

Durham, NC • Remote

Full-time

Posted 6 days ago

Job description

We are hiring a Staff ML Scientist to lead research and development of spiking neural network (SNN) architectures for ultra-low-power, real-time edge inference. This rare role sits at the convergence of computational neuroscience and production machine learning, requiring expertise in neuromorphic hardware platforms (Intel Loihi 2, BrainChip Akida, SynSense), temporal coding schemes, and spike-timing-dependent plasticity (STDP) learning rules.


You will design brain-inspired ML models that achieve orders-of-magnitude improvements in energy efficiency over traditional deep learning for time-series, sensor fusion, and event-driven vision applications.


Candidates must have hands-on experience training and deploying SNNs, deep familiarity with frameworks like Norse, snnTorch, or Lava, and ideally published work in neuromorphic engineering or computational neuroscience. PhD required. Experience bridging the gap between neuromorphic research prototypes and production-ready inference systems is critical.


Key Skills: Spiking Neural Networks, Neuromorphic Computing, Intel Loihi, snnTorch, Norse, Lava, Edge ML, Sensor Fusion, PyTorch, STDP


This is a remote-first position based in North Carolina.