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Internship High Performance Computing Engineer Jobs in Shelton, CT

Senior Software Engineer [604]

New Haven, CT · On-site

$123K - $162K/yr

QBTS) is a leader in the development and delivery of quantum computing systems, software, and ... You are thoughtful about engineering tradeoffs, passionate about delivering high-quality software ...

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We have more than 70 years of industry experience in designing and manufacturing high-performance ... industrial, quantum computing, radars, railway, space, test and measurement, wireless ...

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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 Sep 12, 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 job categories do people searching Internship High Performance Computing Engineer jobs in Shelton, CT look for?

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

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 Software Engineer [604]

New Haven, CT • On-site

$123K - $162K/yr

Other

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 Leap™ 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 Senior Software Engineer to join our Systems Software Engineering team. In this role, you will design and build core platform infrastructure, backend services, and user-facing features that enable seamless access and reliable operation of our simulators and gate-model quantum computers. You will have the opportunity to help shape our products, contributing to highly visible, impactful projects that advance the future of quantum computing. We are looking for an experienced software engineer who enjoys solving complex technical problems and building automated, scalable, resilient systems. You are thoughtful about engineering tradeoffs, passionate about delivering high-quality software, and motivated to raise technical standards through design leadership, mentorship, and collaboration.

What you'll do
  • Collaborate with product managers, scientists, and applications engineers to translate functional requirements into technical specifications and production solutions
  • Lead the architecture and implementation of reliable, maintainable systems spanning simulators, quantum processor services, and supporting platform infrastructure
  • Design and build the tooling and core software used to develop, operate, and monitor our quantum processors
  • Write clean, well-documented code, and participate in design and code reviews to ensure code quality and maintainability
  • Troubleshoot issues, identify bottlenecks, and implement solutions to optimize performance and improve the user experience
  • Contribute throughout the software lifecycle from requirements and architecture through implementation, deployment, and production support
  • Provide mentorship and guidance to junior engineers
About You
  • BS or higher in computer science, electrical/computer engineering, math, or physics
  • 5+ years of hands-on professional software development experience
  • Strong Python software development experience and proficiency in at least one compiled or systems programming language, such as C++, Go, or Rust
  • Experience with scientific computing libraries such as NumPy
  • Experience contributing to open-source software projects
  • Competence with cloud platforms specifically AWS
  • Proficiency in database systems and SQL
  • Competence with Git version control, build tools, and CI/CD pipelines
  • Proficient with RESTful APIs
  • Use of software testing principles and practices including unit testing, integration testing, and end-to-end testing
  • Strong problem-solving skills, exceptional attention to detail, and the ability to collaborate effectively in a fast‑paced team environment
  • Excellent communication and interpersonal skills with the ability to effectively document and communicate technical concepts
  • Experience with containerization and orchestration technologies (e.g. Docker, Kubernetes)
  • Experience with performance profiling and diagnosing system issues
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 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.

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