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Internship High Performance Computing Engineer Jobs in Connecticut

D-Wave Quantum

Senior Embedded Software Engineer

New Haven, CT · On-site

$124.70K - $163.40K/yr

QBTS) , D-Wave is a leader in the development and delivery of quantum computing systems, software ... Delivering reliable, high-performance embedded systems that integrate cleanly with broader ...

TIMES MICROWAVE SYSTEMS

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Senior Connector Design Engineer

Wallingford, CT · On-site

$104.80K - $143.90K/yr

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 ...

TRUMPF Group

Industrial Engineering Internship

Farmington, CT · On-site

$17.75 - $23/hr

As a family-run, high-tech company with nearly 19,000 employees at 71 locations worldwide, we are ... TRUMPF is seeking candidates for an internship in the Industrial Engineering Department at our ...

LiquidPiston

Senior Design Engineer

Suffield, CT · On-site

... high-performance, compact engines for critical power systems. We are seeking a Senior Design ... Lead and mentor technicians, interns, and junior engineers on design and analysis tasks. * Present ...

LiquidPiston, Inc.

Senior Design Engineer

Suffield, CT · On-site

... high-performance, compact engines for critical power systems. We are seeking a Senior Design ... Lead and mentor technicians, interns, and junior engineers on design and analysis tasks. * Present ...

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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 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 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 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.

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Infographic showing various Internship High Performance Computing Engineer job openings in Connecticut as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Postdoctoral Associate Genetics - Koch Lab

Postdoctoral Associate Genetics - Koch Lab

Yale University

New Haven, CT • On-site

Full-time

Posted 25 days ago

Yale University rating

8.7

Company rating: 8.7 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

37th of 529 rated colleges and universities

Job description

Description
The Koch lab is seeking a postdoctoral scientist with expertise in population genetics and a motivated interest in human genetics. Our lab develops novel methods, theory, and analysis paradigms. We are interested in linking selectional and mutational landscapes to patterns of genetic variation associated with human traits and diseases. We do this by integrating evolutionary models with GWAS, biobank, and functional genomic resources across populations to uncover broadly useful frameworks for interpreting genetic findings in human health.
Appropriate candidates will possess foundational knowledge in population genetics as well as strong quantitative and computational skills. The postdoc will lead projects where they develop and apply new methods for the analysis of human genomic data. Individuals from diverse backgrounds are encouraged to apply.
The Koch lab is located in the Yale School of Medicine which offers an outstanding training environment for postdoctoral scientists, with state-of-the-art research facilities and vast resources to support professional development.
Responsibilities
  • Develop bioinformatics pipelines for the analysis of large genomic datasets
  • Derivation of novel statistical and theoretical models
  • Prepare manuscripts for publication
  • Attend and present at lab meetings, departmental seminars, and conferences
  • Participating in collaborations with other labs and consortia
  • Contribute to the mentoring of students and junior scientists in the lab
  • Application for independent funding and assisting the PI in the preparation of grant proposals

Mentoring & Professional Development
We have a strong emphasis on mentorship and value the opportunity to train future leaders in human genetics. The PI will work with the successful candidate to develop and implement a mentorship plan tailor-made for their goals and interests. Mentorship will be provided for fellowship applications, manuscript writing, presentations, and independence.
The successful candidate will gain access to a range of career development opportunities at Yale. This includes seminars from internationally renowned researchers and 'Meet the Speaker' lunches, and professional development and networking activities including via the Yale Postdoctoral Association and Yale Office for Career Strategy.
Qualifications
Candidates should have or be close to obtaining a PhD in either genetics/genomics, evolutionary biology, computational biology, or a related field.
Experience with the Python programming language and the command line interface is required. Experience with one or more of the following is desired: statistical and theoretical population genetics, high performance computing environments, statistical genetics.
The ideal candidate will also demonstrate:
  • A high level of drive and initiative, and track record of impactful research outcomes
  • Experience writing manuscripts published in peer-reviewed journals
  • Ability to work both independently and as part of a team
  • Eagerness to learn and establish new methods, and good problem-solving skills
  • Excellent communication skills, both written and verbal
  • Desire to contribute to the mentorship of students and junior scientists in the lab

Application Instructions
Please apply with (1) a cover letter summarizing your experiences, research interests, and career goals, and why you are interested in pursuing a postdoc in our lab, (2) your CV, including contact details of three references as well as a representative manuscript, and (3) when you are available to start.
Equal Employment Opportunity Statement
The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives.
Additionally, in accordance with this Policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex; sexual orientation; gender identity or expression; pregnancy, childbirth or related conditions; race; color; national or ethnic origin; religion; age; disability; protected veteran status, or other protected classes as set forth in federal and Connecticut law.
Professional Conduct Review for New Faculty Hires
The final candidate, upon acceptance of a contingent offer of employment/faculty appointment, may be required to disclose whether they are, or have been, the subject of any disciplinary proceeding (investigation, hearing, etc.) at previous institutions or employers, and may also be subject to a background screening. Candidates who materially misrepresent information on their resume or other application materials are ineligible for hire/appointment. Final candidates may also be required to sign a release to allow Yale to solicit information regarding any substantiated conduct violations from current and/or past employers.

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