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Remote Hpc System Engineer Jobs (NOW HIRING)

ThisWay

Distributed Systems Engineer

The work emphasizes systems programming, distributed architecture, fault tolerance, and HPC-grade reliability. Location: Remote - United States Department: Engineering Employment Type: Full-Time, ...

Runpod, Inc.

Manager, HPC Storage Engineer

Founded in 2022, we are a rapidly growing, well-funded, remote-first company with a global team ... Manage and grow a team of storage and systems engineers. Set clear ownership, technical direction ...

Morson Talent

System Engineer III

Wilmington, NC · Remote

$90 - $100/hr

Fully remote, limited travel Travel: Potential Vendor or Customer site, GEV office - Customer will ... The System Engineer designs and manages complex Instrumenation and Control systems for the BWRX ...

Booz Allen Hamilton

Ground System Engineer

Aurora, CO · On-site +1

$99K - $225K/yr

If this sounds like you, come join Booz Allen's new Remote Sensing Systems Engineering and Integration (SE&I) team to work on the military's space programs. As a Ground Systems Engineer on our team ...

NetX

System Engineer

Portland, OR · On-site +1

The Role NetX is seeking a Systems Engineer to help maintain, improve, and scale our SaaS ... Remote and/or office-based work environment * No travel required * Must be authorized to work in ...

Transimpact LLC

System Engineer

Otherwise, fully remote from one of the states we are registered in - East Coast states are ... About the Role As a Systems Engineer, you will be part of a team focused on the development and ...

Endsight

System Engineer [Remote OR Hybrid]

Napa, CA · On-site +1

$38.46 - $62.50/hr

System Engineer [Remote OR Hybrid] Department: Professional Services Employment Type: Full Time Location: Napa Compensation: $38.46 - $62.50 / hour Description Location: Remote OR Hybrid You're the ...

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Remote Hpc System Engineer information

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$53.5K

$127.2K

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

As of Jun 15, 2026, the average yearly pay for remote hpc system engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 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.
More about Remote Hpc System Engineer jobs
What cities are hiring for Remote Hpc System Engineer jobs? Cities with the most Remote Hpc System Engineer job openings:
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Remote Hpc System Engineer jobs near you
Infographic showing various Remote Hpc System Engineer job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 89% Full Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Distributed Systems Engineer

Distributed Systems Engineer

ThisWay

Remote

Full-time

Posted 4 days ago

Job description

ThisWay Global is looking for a Distributed Systems Engineer in a remote role within the United States.
ThisWay Global, Inc. is an AI-first technology company headquartered in Texas, operating at the intersection of artificial intelligence, data center infrastructure, and workforce solutions.
The company operates across three primary business areas:
  • ADCAP - AI & Data Center Acceleration Platform: A data center development and operations platform supporting accelerated deployment timelines and NVIDIA NVL72/GB300 GPU clusters.
  • Amalgamy.ai - AI Orchestration Software: An enterprise AI orchestration platform focused on GPU and compute utilization across AI environments.
  • Staffing & Workforce Solutions: AI-powered talent matching solutions connecting employers with candidates at scale.

This role focuses on building foundational distributed systems and operational infrastructure that support AI and exascale computing environments. The work emphasizes systems programming, distributed architecture, fault tolerance, and HPC-grade reliability.
Location: Remote - United States
Department: Engineering
Employment Type: Full-Time, Exempt
Responsibilities
  • Design and build distributed systems that tolerate latency, bandwidth constraints, and intermittent connectivity.
  • Implement fault-tolerant communication strategies, retry logic, backpressure, caching, and eventual consistency patterns.
  • Write maintainable, resilient, and tested code following development standards and methodologies.
  • Debug and improve system behavior, including networking and distributed coordination issues.
  • Contribute to systems written primarily in Rust.
  • Work with system-level concerns including scheduling, memory management, I/O optimization, storage hierarchy management, and system reliability.
  • Optimize performance and memory usage in resource-constrained environments.
  • Debug concurrency issues and distributed coordination challenges.
  • Design and maintain APIs and communication layers between distributed components.
  • Identify and reduce tight coupling across services and systems.
  • Diagnose and resolve cross-system failures in production environments.
  • Design and implement secure, reliable solutions aligned with engineering standards.
  • Collaborate with engineers and computer scientists on operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems.
  • Contribute to resolving architectural and systemic issues.
  • Continue developing expertise in distributed systems, HPC infrastructure, and related tooling.

Requirements
  • Experience building distributed systems in environments with low bandwidth, high latency, or unreliable communication links.
  • Production experience developing systems in Rust or Go.
  • Understanding of distributed systems failure modes and mitigation strategies.
  • Knowledge of consistency models, coordination strategies, and state replication.
  • Experience designing APIs and communication layers between distributed components.
  • Experience working within established architectures and delivering production-quality components.
  • Understanding of systems-level concepts including durability, reliability, and operational behavior.
  • Ability to work independently while collaborating with technical leadership.
Preferred Qualifications
  • Experience with HPC environments, exascale computing, or AI/ML infrastructure.
  • Exposure to operating systems internals, compiler design, or language runtimes.
  • Experience with edge computing or constrained network environments.
  • Familiarity with message queues, event-driven systems, or streaming architectures.
  • Exposure to consensus algorithms or distributed coordination primitives.
  • Experience with concurrency, memory management, or performance optimization in production systems.
  • Experience contributing to developer tooling, internal platforms, or infrastructure-layer components.

Benefits
  • Remote work within the United States.
  • Opportunity to work on distributed systems supporting AI and exascale workloads.
  • Collaboration with engineers experienced in operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems.
  • Exposure to AI infrastructure, HPC, and large-scale distributed computing environments.

Apply