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Hpc System Engineer Jobs (NOW HIRING)

Protingent

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 ...

SK hynix America

AI/HPC System Engineer

San Jose, CA · On-site

AI/HPC System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite Job Summary: * This role will be responsible for assuring SK hynix emerging technology leadership to be ...

SK hynix America

AI/HPC System Engineer

San Jose, CA · On-site

$175K - $230K/yr

AI/HPC System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite Job Summary: * This role will be responsible for assuring SK hynix emerging technology leadership to be ...

SK hynix America

AI/HPC System Engineer

San Jose, CA · On-site

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 ...

Altair Engineering

System Engineer - HPC

Troy, MI · On-site

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 ...

Altair Engineering, Inc.

System Engineer - HPC

Troy, MI · On-site

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 ...

Meta

AI/HPC System Performance Engineer

Menlo Park, CA

$154K/yr

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 ...

Meta

AI/HPC System Performance Engineer

Menlo Park, CA · On-site

$154K - $217K/yr

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 ...

SK hynix America

AI/HPC System Architect

San Jose, CA · On-site

$284K/yr

As an AI/HPC System Architect, your primary responsibility will be to conceptualize the ... D in Electrical and Computer Engineering, or related field with 15+ years of experience in system ...

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Hpc System Engineer information

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$53.5K

$127.2K

$167K

How much do hpc system engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for 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 is an HPC system engineer?

An HPC (High-Performance Computing) System Engineer designs, deploys, and manages supercomputing environments used for complex computations. They optimize hardware and software components, ensuring system performance, scalability, and reliability. Responsibilities include configuring clusters, troubleshooting performance issues, and maintaining parallel file systems. They work with researchers and developers to optimize code for maximum efficiency. Strong knowledge of Linux, networking, and parallel computing is essential for this role.

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

Excelling as an HPC System Engineer requires strong expertise in Linux systems administration, parallel computing, and networking, often supported by a degree in computer science or a related field. Familiarity with HPC resource managers (such as Slurm or PBS), file systems like Lustre or GPFS, and certifications like CompTIA Linux+ or RHCE are highly valuable. Effective problem-solving, teamwork, and communication skills help engineers address complex technical issues and interact with diverse research and engineering teams. These competencies are essential to ensure optimized system performance and support for high-demand computational workloads.

What are some common challenges faced by HPC system engineers?

HPC System Engineers often encounter challenges related to managing large-scale clusters, troubleshooting performance bottlenecks, and ensuring system reliability under demanding workloads. Keeping up with evolving hardware, software updates, and security requirements is also a key part of the job. The role frequently involves responding to urgent issues, supporting a variety of users with different computational needs, and balancing maintenance with ongoing project deadlines. Successfully navigating these challenges requires both strong technical troubleshooting skills and the ability to communicate solutions effectively with researchers and IT peers.

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Hpc System Engineer jobs near you
Infographic showing various Hpc System Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

AI/HPC System Engineer

San Jose, CA • On-site

Xoriant Corporation
IT Services • 1 - 5K employees
Learn more about Xoriant Corporationexternal

Other

Posted 16 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

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