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

We are hiring for a Remote System Engineer II Direct Hire (USC/GC no 3rd Parties). This role is responsible for escalated hardware/software/infrastructure issues for external clients relying on your ...

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92.40K - $126.40K/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 ...

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$101.60K - $139K/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 ...

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

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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 May 28, 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 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 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 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:

High Performance Computing (HPC) Engineer

GovCIO

Raleigh, NC • Remote

$150K - $190K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


GovCIO rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

111th of 204 rated it services


Job description

United States

No Clearance Needed

Fully remote

IT Infrastructure & Network Engineering & Operations

Overview

GovCIO is currently working on a proposal with HHS and we are looking for a High Performance Computer Engineer. This is for a proposal and will be remote.

The High Performance Computing (HPC) Engineer supports and optimizes HPC environments that enable advanced scientific research, data analytics, and computational modeling. This role works closely with researchers, data scientists, and system administrators to ensure that HPC resources are effectively configured, tuned, and utilized to accelerate research outcomes. The HPC Engineer focuses on improving performance, scalability, and efficiency of compute workloads while helping research teams adapt applications, workflows, and code to take full advantage of HPC architectures including clusters, GPUs, and high-speed storage systems. The position serves as a bridge between infrastructure operations and the research community, ensuring that the HPC environment evolves to support emerging scientific computing needs.

Responsibilities

The HPC Engineer is responsible for supporting and optimizing high performance computing resources used by researchers and data scientists to conduct advanced modeling, simulation, and data analysis. This role works closely with the research community to improve application performance, optimize computational workflows, and ensure efficient use of HPC infrastructure including compute clusters, GPUs, high-speed networks, and storage systems. The position also helps guide researchers in adapting code and tools to leverage parallel computing architectures, ensuring that the HPC environment effectively accelerates scientific discovery and innovation.

  • Collaborate with researchers, data scientists, and engineers to optimize applications and workflows for HPC environments.

  • Analyze computational workloads and provide guidance on parallelization strategies, job scheduling, and resource allocation to maximize performance.

  • Support and tune HPC cluster environments including compute nodes, GPUs, high-speed interconnects, and parallel file systems.

  • Assist researchers with porting, compiling, and optimizing scientific codes using parallel programming models such as MPI, OpenMP, CUDA, and container-based environments.

  • Monitor HPC system utilization and performance metrics to identify opportunities for optimization and improved throughput.

  • Work with system administrators to design and implement improvements to cluster architecture, scheduling policies, and storage performance.

  • Provide user support and technical consulting to research teams using HPC resources.

  • Develop documentation, best practices, and training materials to help users effectively leverage HPC capabilities.

  • Support data-intensive research by optimizing workflows that integrate HPC compute resources with large-scale data storage and analytics platforms.

  • Contribute to continuous improvement of the HPC environment through testing, benchmarking, and adoption of emerging technologies.

Qualifications

Bachelor's with 15+ years (or commensurate experience)

Required Skills and Experience

  • Bachelor's or Master's degree in Bachelor of Science, Information Science & Biology, or a related technical field.

  • Experience working with HPC environments, cluster computing, or large-scale research computing platforms.

  • Experience supporting scientific computing applications, modeling, simulation, or data-intensive research workloads.

  • Understanding of GPU computing, containerization (Docker/Singularity), and modern HPC architectures.

  • Strong analytical and problem-solving skills related to performance tuning and computational optimization.

  • Ability to communicate technical concepts effectively to researchers and interdisciplinary teams.

  • Experience working in collaborative research environments or supporting scientific computing programs is highly desirable.

Posted Salary Range

USD $150,000.00 - USD $190,000.00 /Yr.

Company Overview

GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.

But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer?

What You Can Expect

Interview & Hiring Process

If you are selected to move forward through the process, here's what you can expect:

  • During the Interview Process

  • Virtual video interview conducted via video with the hiring manager and/or team

  • Camera must be on

  • A valid photo ID must be presented during each interview

  • During the Hiring Process

  • Enhanced Biometrics ID verification screening

  • Background check, to include:

  • Criminal history (past 7 years)

  • Verification of your highest level of education

  • Verification of your employment history (past 7 years), based on information provided in your application

Employee Perks

At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including:

  • Employee Assistance Program (EAP)

  • Corporate Discounts

  • Learning & Development platform, to include certification preparation content

  • Training, Education and Certification Assistance*

  • Referral Bonus Program

  • Internal Mobility Program

  • Pet Insurance

  • Flexible Work Environment

*Available to full-time employees

Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets.

Posted Pay Range

The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors.