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Internship High Performance Computing Engineer Jobs in Riverside, CA

Thermal / Mechanical Engineer

Irvine, CA · On-site

$150K - $180K/yr

NLST) is a leading provider of high-performance modular memory subsystems and next-generation ... We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and ...

Thermal / Mechanical Engineer

Irvine, CA · On-site

$150K - $180K/yr

NLST) is a leading provider of high-performance modular memory subsystems and next-generation ... We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and ...

Thermal / Mechanical Engineer

Irvine, CA · On-site

$150K - $180K/yr

NLST) is a leading provider of high-performance modular memory subsystems and next-generation ... We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and ...

Senior Product Manager

Irvine, CA · On-site +1

$110K - $130K/hr

Coordinate cross-functional teams, including application engineers, supply chain, procurement ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Senior Product Manager

Irvine, CA · On-site

$110K - $130K/yr

Coordinate cross-functional teams, including application engineers, supply chain, procurement ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Senior Engineer (C++)

Irvine, CA · On-site

$125K - $200K/yr

The ideal candidate will design, develop, and optimize high-performance, reliable services while ... Good-to-Have Experience working with embedded systems or edge computing environments. Exposure to ...

New

Solution Architect- ArcGIS

Redlands, CA · On-site

$63.50 - $83.50/hr

... integrating high-performance computing, cloud, and edge-native architecture • Knowledge ... • Programming and scripting experience with Python, JavaScript, and/or HTML5 (modern web ...

Solution Architect- ArcGIS

Redlands, CA

$63.50 - $83.50/hr

Experience designing and integrating high-performance computing, cloud, and edge-native ... Programming and scripting experience with Python, JavaScript, and/or HTML5 (modern web frameworks)

... system performance. * Prototype, iterate, and deploy AI-powered tools that improve internal ... Experience with robotics, edge computing, or on-device AI systems is a plus. * Demonstrated ...

Read and follow engineering drawings, assembly diagrams, and Bills of Materials (BOMs) to ensure ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

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Internship High Performance Computing Engineer information

See Riverside, CA salary details

$11

$62

$102

How much do internship high performance computing engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for internship high performance computing engineer in Riverside, CA is $62.71, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $70.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
What job categories do people searching Internship High Performance Computing Engineer jobs in Riverside, CA look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Internship High Performance Computing Engineer jobs? Cities near Riverside, CA with the most Internship High Performance Computing Engineer job openings:
10418 - Sr. Workstation Engineer

10418 - Sr. Workstation Engineer

Hyundai Autoever America

Irvine, CA • On-site

$110K - $125K/yr

Full-time

Re-posted 7 days ago


Job description

10006 - Sr. Workstation Engineer
Location: Irvine, CA (5 days on-site)

Company Overview:
Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and Managed Services Provider support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis.
HAEA offers a truly global and collaborative environment. Here, you'll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group.
At HAEA, we understand that IT is the cornerstone of today's fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai's Global Headquarters and North American operations.
If you're passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that's driving the future of automotive innovation.
Website: http://www.haeaus.com
What you will be doing:
The selected Workstation Engineer will be responsible for designing, deploying, configuring, and maintaining high-performance workstation environments and client computing infrastructure. This role supports end-users who require specialized computing resources for technical, engineering, design, and data-intensive applications. The successful candidate will ensure workstations meet performance requirements, maintain system stability, and provide technical support to maximize user productivity. Selected key roles & responsibilities will include:
Endpoint Management & Deployment
  • Lead the design, deployment, and maintenance of SCCM/MECM infrastructure, including application packaging, OS deployment, patching, and compliance baselines.
  • Manage and optimize Intune for modern device management, including configuration profiles, compliance policies, app deployment, and Autopilot provisioning.
  • Support hybrid SCCM-Intune environments (Co Management) and drive modernization initiatives.

Automation & Scripting
  • Develop advanced PowerShell scripts to automate administrative tasks, deployment workflows, and configuration processes.
  • Maintain scripting standards and ensure secure automation practices.

Policy & Configuration Management
  • Design, implement, and troubleshoot Group Policy Objects (GPOs) to enforce workstation configuration and security baselines.
  • Collaborate with security teams to align GPO and Intune policies with compliance requirements.

Workstation Engineering & Support
  • Build and maintain standardized workstation images using SCCM, MDT, or Autopilot.
  • Provide engineering support for complex workstation, application, and configuration issues.
  • Monitor endpoint performance, reliability, and compliance using analytics and reporting tools.

Security & Compliance
  • Implement and maintain endpoint security configurations, including BitLocker, Defender for Endpoint, and CIS/NIST-aligned baselines.
  • Ensure patching and compliance metrics meet organizational and regulatory standards.

Collaboration & Documentation
  • Work closely with security, networking, cloud, and service desk teams to support enterprise initiatives.
  • Create and maintain detailed documentation for processes, configurations, and architectural designs.
  • Mentor junior engineers and contribute to knowledge-sharing efforts.
What we require from you:
  • 7+ years of experience in workstation engineering or enterprise endpoint management.
  • Expert-level proficiency with SCCM/MECM (OSD, task sequences, patching, packaging).
  • Strong experience with Intune, Autopilot, and modern device management concepts.
  • Advanced PowerShell scripting skills.
  • Deep understanding of Group Policy, Active Directory, and Windows client OS architecture.
  • Strong troubleshooting and analytical skills.
  • Excellent communication and documentation abilities.

Team Culture:
Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value:
  • Passion for Technology:We are enthusiastic about emerging technologies and their potential to transform the automotive industry.
  • Agility:We work in an agile environment, adapting quickly to changes and continuously improving our processes.
  • Teamwork:We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.
  • Growth:We prioritize personal and professional growth, offering opportunities for learning and development.
  • Inclusivity:We maintain an inclusive culture where diverse perspectives are valued and everyone feels welcome.

Base Salary Range: $110,000 - $125,000
Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws.The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.