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Internship High Performance Computing Engineer Jobs in Shelton, CT

Elite level sports experience is working in a high-tempo, integrated, and interdisciplinary medical ... Extensive knowledge and experience in the implementation of strength and conditioning programming ...

Elite level sports experience is working in a high-tempo, integrated, and interdisciplinary medical ... Extensive knowledge and experience in the implementation of strength and conditioning programming ...

Principal Software Engineer

Danbury, CT ยท On-site

$137K - $184K/yr

We are seeking a Software Engineer to join our highly dynamic team developing machine control solutions for our high-performance mailing solutions. We are looking for high energy team players with ...

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Internship High Performance Computing Engineer information

See Shelton, CT salary details

$11

$60

$98

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

As of Aug 20, 2026, the average hourly pay for internship high performance computing engineer in Shelton, CT is $60.29, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.22 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 cities near Shelton, CT are hiring for Internship High Performance Computing Engineer jobs?

Cities near Shelton, CT with the most Internship High Performance Computing Engineer job openings:

Infographic showing various Internship High Performance Computing Engineer job openings in Shelton, CT as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $125,401 per year, or $60.3 per hour.

Senior Quantum Software Engineer [514]

D-Wave Quantum

New Haven, CT โ€ข On-site

$123K - $162K/yr

Full-time

Re-posted 11 days ago


Job description

D-Wave Quantum Inc. (NASDAQ: QBTS) is a leader in the development and delivery of quantum computing systems, software, and services. It is the world's first commercial supplier of quantum computers, and the first and only to offer dual-platform quantum computing products and services, spanning both annealing and gate-model quantum computing technologies. D-Wave's mission is to help customers realize the value of quantum today through enterprise-grade systems available on-premises and via its Leapโ„ข quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations across commercial, government, and research sectors trust D-Wave to address complex computational challenges using quantum computing. Learn more about realizing the value of quantum computing today and how D-Wave is shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com.
About the role
D-Wave is seeking a Quantum Software Engineer to work on our core software, calibration systems, and tooling for our quantum computers within the Systems Software Engineering department. This team works very closely with our physicists and acts as a bridge between the core software team and our physicists. You will be enabling our physicists in their design and implementation of protocols and then integrate them into our core software platform and quantum computer systems automation.
What you'll do
  • Collaborate with product managers, scientists, and other engineers to translate functional requirements into technical specifications and deliverables
  • Architect and build efficient, reliable, and maintainable back-end systems
  • Design and build tooling and core software needed for calibration, protocol development, experimentation, and automation of our quantum processor operations
  • Write clean, well-documented code, and conduct thorough code reviews to ensure code quality and maintainability
  • Troubleshoot and debug issues, identify bottlenecks, and implement solutions to optimize performance and improve the user experience
  • Provide mentorship and guidance to junior quantum software engineers

About You
  • BS or higher in computer science, electrical/computer engineering, math, physics, or chemistry
  • 5+ years of hands-on software development experience
  • Strong Python experience
  • Experience troubleshooting and debugging using profilers and other tools
  • Experience in scientific computing, data analytics, quantum physics, or quantum computing
  • Competence with Git version control
  • Use of software testing principles and practices (unit testing, integration testing, and end-to-end testing)
  • Strong problem-solving skills, attention to detail, and the ability to work in a collaborative team environment
  • Excellent communication and interpersonal skills with the ability to effectively communicate and document technical concepts

A D-Waver's DNA
  • We look at the future and say "why not"; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
  • We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
  • We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
  • As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.

Our Compensation Philosophy is Simple but Powerful:
We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they've got - not because they're simply making money, but because they've fallen in love with our vision, mission, values, and team.
During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.
Inclusion:
We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.
The Fine Print:
No 3rd party candidates will be accepted
It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.
The base pay range for this role is:
$124,360 - 186,540 USD (New Haven)