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Internship Hpc System Engineer Jobs (NOW HIRING)

AI/HPC System Engineer

San Jose, CA · On-site

$80 - $90/hr

AI/HPC System Engineer Position Description : Protingent Staffing has an exciting contract AI/HPC System Engineer with our client located in San Jose, CA. * We are hiring an AI/HPC System Engineer to ...

AI/HPC System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK hynix America At SK hynix America, we're at the forefront of semiconductor innovation, developing ...

AI/HPC System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK hynix America At SK hynix America, we're at the forefront of semiconductor innovation, developing ...

The AI/HPC System Engineer will design, develop, and optimize next-generation memory solutions and system software for energy-efficient AI computing platforms, collaborating closely with hardware and ...

Transforming the Future with the Convergence of Simulation and Data Systems Engineer - HPC Do you like a challenge, are you a complex thinker who likes to solve problems? If so, then you might be the ...

As an AI/HPC System Performance Engineer on the Network Infrastructure Engineering team, you will drive end-to-end performance characterization, bottleneck analysis, and optimization of large-scale ...

CAE HPC System Administrator Location: Saline, MI - Local Candidates Only Rate: $55-$60/hr Type ... Bachelor's degree in Engineering, Computer Science, or related field, or equivalent experience Nice ...

As an AI/HPC System Performance Engineer on the Network Infrastructure Engineering team, you will drive end-to-end performance characterization, bottleneck analysis, and optimization of large-scale ...

The HPC Systems Engineer will be involved in various aspects of designing and engineering our HPC ... Monitor overall system performance and health and partner with 3rd parties on hardware support as ...

The HPC Systems Engineer will be involved in various aspects of designing and engineering our HPC ... Monitor overall system performance and health and partner with 3rd parties on hardware support as ...

The HPC Systems Engineer will be involved in various aspects of designing and engineering our HPC ... Monitor overall system performance and health and partner with 3rd parties on hardware support as ...

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Internship Hpc System Engineer information

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How much do internship hpc system engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship hpc system engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an internship HPC system engineer?

Internship HPC (High Performance Computing) System Engineers are students or recent graduates who assist with the design, implementation, and maintenance of HPC systems, such as supercomputers or computational clusters. They work alongside experienced engineers to support scientific computing, data analysis, and system performance optimization. Their responsibilities often include configuring hardware, troubleshooting software issues, and ensuring the efficient operation of large-scale computing resources. This role provides hands-on experience in a specialized area of IT, preparing interns for future careers in HPC or related fields.

What does an internship HPC system engineer do?

As an HPC System Engineer Intern, you will typically assist with configuring, testing, and maintaining high-performance computing clusters. Common tasks include deploying operating systems, monitoring system health, troubleshooting hardware or software issues, and supporting users with job scheduling and resource management. You may also work on documentation, automation scripts, or performance benchmarking. Interns often collaborate closely with senior engineers and researchers, providing a valuable opportunity to learn industry-standard practices and tools in a supportive team environment.

What are the key skills and qualifications needed to thrive as an internship HPC system engineer?

To thrive as an Internship HPC System Engineer, you need a solid understanding of computer science fundamentals, Linux/Unix operating systems, and basic networking, often supported by coursework or relevant projects. Familiarity with scripting languages (such as Bash or Python), cluster management tools, and version control systems like Git is typically required. Strong problem-solving skills, eagerness to learn, and effective teamwork are essential soft skills for this role. These abilities are crucial for efficiently supporting high-performance computing environments, troubleshooting technical issues, and contributing to collaborative research and development projects.

What is the difference between Internship Hpc System Engineer vs Hpc System Engineer?

AspectInternship Hpc System EngineerHpc System Engineer
CredentialsTypically pursuing or recently completed relevant degreeRelevant degree and possibly certifications in HPC or systems engineering
Work EnvironmentInternship setting, supervised, learning-focusedFull-time professional environment, responsible for system management
ResponsibilitiesAssisting with HPC system setup, maintenance, and learning tasksDesigning, implementing, and maintaining HPC systems independently

The main difference lies in experience and responsibility: an Internship Hpc System Engineer is a learning role with supervision, while an Hpc System Engineer is a full-time professional responsible for managing HPC systems independently.

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Infographic showing various Internship Hpc System Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

AI/HPC System Engineer

Xoriant Corporation

San Jose, CA • On-site

Other

Posted 8 days ago


Job description

Position Title: AI/HPC System Engineer

Location: San Jose, CA (Onsite)

Description

We are hiring an AI/HPC System Engineer to build and operate the compute infrastructure supporting our HPC and AI development workloads. This role deploys, automates, and maintains GPU clusters across on-premise and cloud environments, delivering reliable, scalable, and cost-efficient compute for engineering and R&D teams.

Responsibilities:

• GPU/HPC infrastructure: Build, configure, and operate GPU and HPC clusters across compute, storage, and networking; support capacity planning, performance tuning, and optimization for AI training, inference, and compute-intensive workloads

• Hybrid cloud infrastructure: Deploy and maintain compute environments spanning on-premise and public cloud, and contribute to modernization and scaling initiatives for HPC/AI infrastructure

• Automation and observability: Implement infrastructure-as-code, provisioning automation, monitoring, and alerting, and drive improvements in resource utilization and efficiency

• AI platform support: Deploy, integrate, and support LLM APIs, coding assistants, and AI/agent platforms used by internal engineering teams

• Operations and collaboration: Troubleshoot and resolve infrastructure issues, document standards and runbooks, and work with relevant stakeholders to support day-to-day IT operations

Qualifications:

• Bachelor''s degree in Computer Science, Engineering, or a related technical field

• 3+ years of hands-on experience in IT infrastructure, cloud, platform engineering, or HPC

• Hands-on experience with Linux-based infrastructure and public cloud environments such as AWS, Azure, or Google Cloud Platform

• Experience deploying or operating GPU/HPC environments, including workload scheduling or orchestration platforms such as Kubernetes or Slurm

• Experience with infrastructure automation, monitoring, troubleshooting, and performance optimization

• Solid understanding of compute, storage, networking, and container technologies; experience with AI/ML infrastructure or workloads is a plus

• Strong collaboration and communication skills, with the ability to work across engineering and IT teams