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Internship High Performance Computing Engineer Jobs in Phoenix, AZ

Data Center Technician

Phoenix, AZ · On-site

$22 - $35/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

Every day, you will be responsible for specific application, database, network, infrastructure, and/or engineering portfolios/platforms, and will support high-performance computing architecture. This ...

Senior Process Engineer - H1 Location: Tempe, AZ Department: Operations Reports to: Director of ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

Senior Engineer, Chips About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

... high-performance computing, artificial intelligence, cyber security as well as remote sensing ... engineering and fabrication teams in Tempe. This is a hands-on role supporting both end users and ...

... high-performance computing, artificial intelligence, cyber security as well as remote sensing ... engineering and fabrication teams in Tempe. This is a hands-on role supporting both end users and ...

Senior Industrial Engineer-Automation

Tempe, AZ · On-site

$41 - $56/hr

... high-performance computing, artificial intelligence, cyber security as well as remote sensing ... Apply industrial engineering methodologies such as Lean, Six Sigma, and simulation modeling to ...

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

... high performance computing, mobile, automotive electronics, and the Internet of Things (IoT). If ... As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ...

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

... high performance computing, mobile, automotive electronics, and the Internet of Things (IoT). If ... As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ...

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Internship High Performance Computing Engineer information

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$10

$59

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

As of Jun 12, 2026, the average hourly pay for internship high performance computing engineer in Phoenix, AZ is $59.68, according to ZipRecruiter salary data. Most workers in this role earn between $48.94 and $67.55 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.
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What cities near Phoenix, AZ are hiring for Internship High Performance Computing Engineer jobs? Cities near Phoenix, AZ with the most Internship High Performance Computing Engineer job openings:
Engineer II - CAD (Grid Engineer)

Engineer II - CAD (Grid Engineer)

Microchip Technology Inc.

Chandler, AZ • On-site

Full-time

Posted 23 days ago


Microchip Technology rating

8.1

Company rating: 8.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

40th of 139 rated electronics manufacturers


Job description

Job Summary:
Microchip Technology Inc. is a global organization that designs technology powering the world. They are seeking a Grid Engineer to design, develop, and support grid infrastructure and workflows, ensuring the reliability and performance of systems that support Electronic Design Automation (EDA) workloads.
Responsibilities:
• Evaluate the effectiveness and efficiency of existing clustered compute systems and develop strategies to enhance performance, scalability, and utilization.
• Serve as a primary technical contact for end users, providing guidance on running simulations and promoting best practices across the user community.
• Design, write, and maintain software to drive, tune, and monitor EDA workloads within the compute grid.
• Create and maintain clear, comprehensive documentation related to compute grid infrastructure and EDA workflows.
• Research emerging software and systems technologies to support recommendations and purchasing decisions.
• Collaborate with cross-functional engineering teams to ensure secure, stable, and optimized grid operations.
Qualifications:
Required:
• Minimum of 2.5 years of experience in Electrical Engineering, Computer Science, or High-Performance Computing role.
• Hands-on experience with job schedulers such as LSF, SGE, RTDA, SLURM or similar.
• Strong proficiency with Unix/Linux operating systems and file systems.
• Fundamental programming and scripting skills using csh, Bash, Perl, Python, Tcl, and/or C/C++.
• Strong problem-solving skills with the ability to independently identify and resolve compute grid issues.
• Ability to define and implement processes that maintain system performance and promote best practices.
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
• Proven ability to build positive working relationships and collaborate effectively with team members.
• Strong organizational skills and attention to detail.
Preferred:
• DevOps or GIT/Jenkins workflow experience a plus
• Experience with Electronic Design Automation (EDA) tools and suites from Cadence, Synopsys, and Siemens.
• Familiarity with Machine Learning and Artificial Intelligence frameworks (e.g.,LLM, TensorFlow) is a plus.
Company:
Microchip Technology Inc. is a leading semiconductor supplier of smart, connected and secure embedded control solutions. Founded in 1989, the company is headquartered in Chandler, USA, with a team of 10001+ employees. The company is currently Late Stage.

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