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Internship High Performance Computing Engineer Jobs in Frisco, TX

Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that ... Its engineers build critical infrastructure to eliminate friction in scientific research ...

... computing, and high-performance systems. Our team is growing, and we're looking for skilled ... Internship, co-op, or early-career experience in an R&D or product development environment Why Join ...

AI and High-Density Computing Infrastructure Support * Lead engineering efforts supporting NVIDIA GPU clusters, AI training environments, machine learning infrastructure, high-performance computing ...

Senior Kubernetes Engineer

Dallas, TX · On-site

$107K - $145K/yr

Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that ... Its engineers build critical infrastructure to eliminate friction in scientific research ...

Senior Kubernetes Engineer

Dallas, TX · On-site

$107K - $145K/yr

Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that ... Its engineers build critical infrastructure to eliminate friction in scientific research ...

Emerging Network Architect

Dallas, TX · On-site

$64 - $85.75/hr

... high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers ...

Emerging Network Architect

Dallas, TX · On-site

$64 - $85.75/hr

... high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers ...

Showing results 41-60

Internship High Performance Computing Engineer information

See Frisco, TX salary details

$10

$56

$91

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

As of Aug 22, 2026, the average hourly pay for internship high performance computing engineer in Frisco, TX is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.11 and $63.65 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an internship high performance computing engineer?

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 job categories do people searching Internship High Performance Computing Engineer jobs in Frisco, TX look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Internship High Performance Computing Engineer jobs?

Cities near Frisco, TX with the most Internship High Performance Computing Engineer job openings:

Sr Lead Enterprise Architecture

Globalfoundries

Richardson, TX

Full-time

Re-posted 27 days ago


GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

67th of 544 rated manufacturers


Job description

GlobalFoundries is seeking a Senior Lead, Enterprise Architecture to lead the design, deployment, and operation of large-scale NAS and high-performance computing (HPC) storage environments supporting semiconductor design and engineering workloads. This role is responsible for architecting resilient, secure, and high-performing storage platforms at global scale, partnering closely with engineering, infrastructure, security, and vendor teams to ensure availability, performance, and long-term scalability.
The ideal candidate brings deep expertise in enterprise NAS platforms, HPC storage architectures, data migration, disaster recovery, and storage security within complex semiconductor or R&D environments.

About GlobalFoundries
GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Job Summary
GlobalFoundries is seeking a Senior Lead, Enterprise Architecture to lead the design, deployment, and operation of large-scale Network Attached Storage (NAS) and high-performance computing (HPC) storage environments supporting semiconductor design and engineering workloads. This role is responsible for architecting resilient, secure, and high-performing storage platforms at global scale, partnering closely with engineering, infrastructure, security, and vendor teams to ensure availability, performance, and long-term scalability.

The ideal candidate brings deep expertise in enterprise NAS platforms, HPC storage architectures, data migration, disaster recovery, and storage security within complex semiconductor or R&D environments.

Essential Responsibilities
Design, architect, and support large-scale NAS and NFS-based storage environments supporting HPC and semiconductor design workloads
Lead global storage platforms spanning multiple data centers, supporting thousands of engineers and mission-critical design systems
Own capacity planning, performance optimization, availability, and lifecycle management for enterprise storage infrastructure
Architect and lead large-scale storage migrations and technology refresh initiatives with zero or minimal downtime
Define and implement data protection, replication, and disaster recovery strategies for critical engineering data
Lead storage security initiatives including ransomware protection, protocol auditing, and perimeter hardening
Partner with network, security, compute, and application teams to ensure end-to-end performance and reliability
Serve as technical lead for major vendor relationships, including architecture reviews, upgrades, and roadmap planning
Develop storage standards, operational best practices, and automation strategies to improve efficiency and reduce risk
Provide technical leadership and mentoring to junior engineers and regional support teams
Support incident response, root cause analysis, and continuous improvement initiatives across global environments

Other Responsibilities
Evaluate emerging storage technologies and recommend solutions aligned with GlobalFoundries' long-term strategy
Support chargeback, reporting, and data lifecycle management initiatives
Contribute to documentation, architecture diagrams, and operational runbooks
Participate in on-call and escalation support for critical infrastructure services as needed

Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
10+ years of progressive experience in enterprise storage architecture and operations
Extensive hands-on experience with large-scale NAS platforms such as Isilon, PowerScale, NetApp, or equivalent
Strong expertise in NFS, SMB, Linux, and UNIX-based environments
Proven experience supporting HPC or semiconductor design workloads at scale
Demonstrated success leading large data migrations, platform refreshes, and global infrastructure initiatives
Strong understanding of storage security, replication, backup alternatives, and disaster recovery strategies
Ability to lead complex cross-functional projects in a global enterprise environment
Excellent troubleshooting, analytical, and communication skills

Preferred Qualifications
Experience supporting semiconductor EDA or R&D environments
Familiarity with HPC schedulers, data-intensive workloads, and performance tuning
Experience with ransomware detection, NFS auditing, and storage security tooling
Scripting or automation experience (Shell, Perl, or similar)
Experience operating in highly regulated or high-availability environments
Prior experience serving as a technical lead or architect within a large enterprise organization

If you want, I can also align the title exactly to GF leveling (Senior Lead vs Principal), tighten this for an external posting, or adjust language for Workday character limits.

Expected Salary Range

$57,800.00 - $97,000.00

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law


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