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Remote Process Simulation Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92.40K - $126.40K/yr

... existing systems and enterprise processes. * Design, implement, monitor, and optimize AI ... Experience with simulations for scientific or engineering projects, particularly physical systems ...

Hitachi

Power System Consultant

Raleigh, NC · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The opportunity Kickstart your career in ... Develop and run power system simulation models under guidance * Assist with technical analysis and ...

Hitachi

Senior Power Consultant

Raleigh, NC · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The opportunity At Hitachi Energy , we are ... Design and simulate power systems using advanced modeling tools * Conduct independent research and ...

Hitachi

Research Scientist - Power Systems

Raleigh, NC · On-site +1

Engineering & Science Job Schedule: Full time Remote: No Research Scientist - Power Systems The ... Proficiency in power system simulation platform like PSS/E, Power Factory, PSCAD/Opal-RT, MATLAB

Allucent

Director, Clinical Pharmacology

Cary, NC · Remote

We are looking for a Director, Clinical Pharmacology to join our A-team (office-based*/remote). As ... Simulation unit of Allucent. About the role: As an expert in clinical pharmacology, you will:

Allucent

Director, Clinical Pharmacology

Cary, NC · Remote

We are looking for a Director, Clinical Pharmacology to join our A-team (office-based*/remote). As ... Simulation unit of Allucent. About the role: As an expert in clinical pharmacology, you will:

Allucent

Director, Clinical Pharmacology

Cary, NC · On-site +1

We are looking for a Director, Clinical Pharmacology to join our A-team (office-based*/remote). As ... Simulation unit of Allucent. About the role: As an expert in clinical pharmacology, you will:

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Remote Process Simulation information

See Raleigh, NC salary details

$37.9K

$120K

$185.2K

How much do remote process simulation jobs pay per year?

As of May 30, 2026, the average yearly pay for remote process simulation in Raleigh, NC is $119,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $142,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Process Simulation Engineer, and why are they important?

To thrive as a Remote Process Simulation Engineer, you need a strong background in chemical or process engineering, along with experience in modeling and simulation techniques. Proficiency with simulation software such as Aspen HYSYS, MATLAB, or Simulink, as well as familiarity with remote collaboration tools, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for success in this role. These competencies enable accurate process modeling, effective teamwork, and the ability to troubleshoot and optimize complex systems remotely.

What are some common challenges faced when working as a Remote Process Simulation specialist, and how can they be addressed?

Remote Process Simulation specialists often encounter challenges related to effective collaboration with cross-functional teams and access to real-time data. Since the role involves modeling and optimizing industrial or manufacturing processes remotely, ensuring clear communication and timely feedback with on-site engineers is crucial. Utilizing collaborative software platforms and maintaining regular virtual meetings can help bridge the gap. Additionally, establishing secure and reliable remote connections to process data ensures accurate simulations and results.

What are remote process simulation jobs?

Remote process simulation jobs involve using computer software to model, analyze, and optimize real-world processes, such as manufacturing systems or chemical plants, from a remote location. Professionals in these roles use simulation tools to predict outcomes, test scenarios, and improve efficiency without physically interacting with the system. These jobs often require strong analytical skills, proficiency with simulation software, and the ability to communicate results to stakeholders. Remote process simulation positions are common in industries like engineering, manufacturing, and energy, allowing professionals to collaborate with teams across different locations.

What is the difference between Remote Process Simulation vs Remote Process Engineer?

AspectRemote Process SimulationRemote Process Engineer
Primary FocusCreating digital models to analyze and optimize processes remotelyDesigning, implementing, and improving processes in real-world settings remotely
Required SkillsProcess modeling, simulation software, analytical skillsProcess design, engineering principles, problem-solving
CertificationsProcess simulation certifications, engineering degrees often preferredEngineering licenses, process engineering certifications
Work EnvironmentPrimarily computer-based, remote collaborationRemote or on-site, depending on project needs

Remote Process Simulation involves creating digital models to analyze and optimize processes remotely, focusing on simulation tools and data analysis. Remote Process Engineers design and improve actual processes, often requiring engineering expertise. Both roles may work remotely but differ in their core activities and skill requirements.

What are popular job titles related to Remote Process Simulation jobs in Raleigh, NC? For Remote Process Simulation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Process Simulation jobs in Raleigh, NC look for? The top searched job categories for Remote Process Simulation jobs in Raleigh, NC are:
Remote Process Simulation jobs near you

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92.40K - $126.40K/yr

Full-time

Posted 26 days ago

Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance – Active or Inactive

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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