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Internship High Performance Computing Engineer Jobs in Arizona

CommonSpirit Health

Solution Architect I

Phoenix, AZ

$59.75 - $78.75/hr

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 ...

Introl

Data Center Technician

Litchfield Park, 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 ...

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Internship High Performance Computing Engineer information

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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Internship High Performance Computing Engineer jobs near you
Process Engineer - H1

Process Engineer - H1

QUANTUM COMPUTING, INC.

Tempe, AZ • On-site

Full-time

Posted 14 hours ago

Job description

Job Title: Senior Process Engineer - H1

Location: Tempe, AZ

Division: Operations

Department: Manufacturing


About Us

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.

Position Description

QCi is seeking a highly motivated senior process engineer to join our team to support several high priority customer projects. In this role, the candidate will work collaboratively with a cross functional team of process engineers, PIC designers, RF designers, and PIC characterization engineers to fabricate non-linear photonic integrated circuits based on thin film lithium niobate. The ideal candidate will have several years of process development experience in etching (chemical etch, plasma etch, ion beam etch), deposition (electron beam evaporation, sputtering), lithography (photolithography, electron beam lithography) and metrology (SEM, AFM, TEM, stylus profilometry, white light interferometry).

Duties and Responsibilities

  • Lead the development and optimization of manufacturing processes of thin film lithium niobate photonic integrated circuits
  • Drive process integration and improvement initiatives to enhance device performance and yield.
  • Work closely with the process team in the cleanroom to optimize associated metrology measurements in the fabrication flow of TFLN chips
  • Collaborate with stakeholders across the manufacturing organization, including the design and measurement teams to deliver high quality photonic integrated circuits.
  • Utilize advanced metrology tools such as CD SEM, AFM, ellipsometry, profilometry, XPS, XRD, and optical interferometry for process characterization and defect analysis.
  • Troubleshoot process deviations, particle contamination, and performance issues and implement corrective actions and continuous improvement strategies.
  • Support high priority customers throughout the design, fabrication and testing phases of their projects

Required Skills and Experience

  • Master’s, or Ph.D. in Materials Science, Electrical Engineering, Physics, or related field.
  • 5+ years of experience in process engineering,
  • Strong background in measurement and / or design of photonic integrated circuits
  • Hands-on experience with metrology tools such as CD SEM, Alignment, Film Thickness Characterization, Particle Measure for process verification and defect analysis.
  • Strong problem-solving skills with experience in data analysis, SPC, and DOE.
  • Ability to work in a cleanroom environment and interface with cross-functional engineering teams.
  • Must have or be able to obtain a US DoD Security Clearance.

Preferred Qualifications

  • Ph.D. in Materials Science, Electrical Engineering, Physics, or related field.
  • Experience and understanding of microfabrication for photonics devices, process integration, photonic materials properties and modification, and the incorporation of MEMS and electronic devices.
  • Experience modeling and measuring photonic integrated circuits
  • Experience with microwave and or RF photonics
  • Experience with heterogeneous bonding between wafers and chips is valued.
  • Experience working with 5S, and 6 Sigma


Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.