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Remote Hpc System Engineer Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Assess and implement system enhancements to improve performance, scalability, reliability, and cost ... Experience with GPU-based systems or running AI models in HPC environments. * Experience writing ...

Grantek

Systems Engineer

Raleigh, NC · On-site +1

System programming, debugging, and testing. * Creating documentation, including project engineering ... Experience in DeviceNet, ControlNet, DH+, Remote IO, Modbus, etc is preferred but not necessary.

Wood Plc

Distribution Engineer (remote)

Raleigh, NC · On-site +1

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... systems design and the use of PLS-CADD- Knowledge of interconnecting DER's and modeling ...

Wood Plc

Distribution Engineer (remote)

Raleigh, NC · On-site +1

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... systems design and the use of PLS-CADD- Knowledge of interconnecting DER's and modeling ...

Wood Plc

Distribution Engineer (remote)

Raleigh, NC · On-site +1

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... systems design and the use of PLS-CADD- Knowledge of interconnecting DER's and modeling ...

Wood Plc

Distribution Engineer (remote)

Raleigh, NC · On-site +1

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... systems design and the use of PLS-CADD- Knowledge of interconnecting DER's and modeling ...

Wood Plc

Distribution Engineer (remote)

Raleigh, NC · On-site +1

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... systems design and the use of PLS-CADD- Knowledge of interconnecting DER's and modeling ...

Wood Plc

Distribution Engineer (remote)

Raleigh, NC · On-site +1

Engineering of distribution electrical projects through the entire project lifecycle: from ... systems design and the use of PLS-CADD- Knowledge of interconnecting DER's and modeling ...

Wood Plc

Distribution Engineer (remote)

Raleigh, NC · On-site +1

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... systems design and the use of PLS-CADD- Knowledge of interconnecting DER's and modeling ...

Wood Plc

Distribution Engineer (remote)

Raleigh, NC · On-site +1

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... systems design and the use of PLS-CADD- Knowledge of interconnecting DER's and modeling ...

Wood Plc

Distribution Engineer (remote)

Raleigh, NC · On-site +1

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... systems design and the use of PLS-CADD- Knowledge of interconnecting DER's and modeling ...

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All JobsRemote Hpc System Engineer JobsRemote Hpc System Engineer Jobs in Raleigh, NC

Remote Hpc System Engineer information

See Raleigh, NC salary details

$52K

$123.7K

$162.3K

How much do remote hpc system engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote hpc system engineer in Raleigh, NC is $123,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $152,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote HPC System Engineer, you need expertise in Linux system administration, parallel computing, networking, and a degree in computer science or related field. Familiarity with job schedulers (like Slurm), cluster management tools, scripting languages (such as Python or Bash), and certifications like CompTIA Linux+ or Red Hat Certified Engineer are highly valuable. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These skills ensure the reliable operation, optimization, and scalability of HPC systems in distributed environments.

What are some common challenges faced by Remote HPC System Engineers, and how can they be managed effectively?

Remote HPC System Engineers often encounter challenges such as troubleshooting complex hardware or software issues without physical access, ensuring seamless system performance, and coordinating with geographically dispersed teams. These can be managed by leveraging strong remote monitoring tools, maintaining clear documentation, and establishing effective communication channels with on-site staff. Proactively scheduling regular system health checks and participating in virtual team meetings can also help address problems quickly and maintain high system reliability.

What is the difference between Remote Hpc System Engineer vs Remote Cloud Infrastructure Engineer?

AspectRemote Hpc System EngineerRemote Cloud Infrastructure Engineer
CredentialsTypically requires Linux certifications, HPC-specific trainingOften requires cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentHigh-performance computing clusters, research labsCloud platforms, data centers, virtualized environments
Industry UsageResearch, scientific computing, academiaTech, finance, enterprise IT
Search/Comparison IntentUnderstanding HPC-specific roles vs cloud rolesComparing on-premise HPC vs cloud infrastructure

The Remote Hpc System Engineer focuses on managing and optimizing high-performance computing clusters, often in research or scientific environments. In contrast, the Remote Cloud Infrastructure Engineer specializes in designing and maintaining cloud-based infrastructure across various industries. While both roles require technical expertise in system management, their environments and certifications differ, catering to distinct operational needs.

What are Remote HPC System Engineers?

Remote HPC (High Performance Computing) System Engineers are IT professionals who design, implement, manage, and troubleshoot HPC systems and clusters from a remote location. They work with advanced computing infrastructure that supports scientific research, complex simulations, and large-scale data processing. Their responsibilities include configuring hardware and software, monitoring system performance, ensuring security, and providing technical support to users, all while working off-site. This role requires strong expertise in HPC technologies, operating systems like Linux, networking, and scripting, as well as effective communication skills for collaborating with distributed teams.
What are popular job titles related to Remote Hpc System Engineer jobs in Raleigh, NC? For Remote Hpc System Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Hpc System Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Hpc System Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Hpc System Engineer jobs? Cities near Raleigh, NC with the most Remote Hpc System Engineer job openings:
Remote Hpc System Engineer jobs near you

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Posted 15 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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