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High Performance Computing Jobs in Connecticut (NOW HIRING)

US IT Solutions Inc

Project Coordinator

Groton, CT · On-site

... Cloud computing . We work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirements. Reports to a Project Manager I or Project Manager II and ...

360 IT Professionals

QA Manager

Danbury, CT

... Cloud computing and IT staffing. Merging Information Technology skills in all its services and ... to deliver high-performance results, based exclusively on the one of a kind requirement. Our ...

Eurotech Inc.

Regional Sales Manager

Hartford, CT · On-site

Technical knowledge of Embedded Computing market and technologies, including SBC's, Ethernet Switches, Multi-processors, I/O, Video/Graphics, High-Performance Embedded Solutions & Systems.

Eurotech Inc.

Regional Sales Manager

Hartford, CT · On-site

Technical knowledge of Embedded Computing market and technologies, including SBC's, Ethernet Switches, Multi-processors, I/O, Video/Graphics, High-Performance Embedded Solutions & Systems.

Eurotech Inc.

Regional Sales Manager

Hartford, CT

Technical knowledge of Embedded Computing market and technologies, including SBC's, Ethernet Switches, Multi-processors, I/O, Video/Graphics, High-Performance Embedded Solutions & Systems.

Citadel

Software Engineer - Intern (US)

Greenwich, CT · On-site

$4.5K - $5.8K/wk

... computing, natural language processing, machine learning and more. As an intern, you'll get to ... Develop high-performance, large data research platforms * Work in small teams to build the future ...

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High Performance Computing information

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$38.1K

$94.7K

$146K

How much do high performance computing jobs pay per year?

As of Aug 19, 2026, the average yearly pay for high performance computing in Connecticut is $94,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $119,900.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are popular job titles related to High Performance Computing jobs in Connecticut?

For High Performance Computing jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching High Performance Computing jobs in Connecticut look for?

The top searched job categories for High Performance Computing jobs in Connecticut are:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,679 per year, or $45.5 per hour.

Postdoctoral Associate | Beck Lab

The Jackson Laboratory

Farmington, CT • On-site

$75K/yr

Full-time

Re-posted 29 days ago

The Jackson Laboratory rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 120 rated laboratories

Job description

The Beck Lab is seeking an enthusiastic, independent, and highly motivated postdoctoral fellow to join our innovative research group at the Jackson Laboratory for Genomic Medicine and University of Connecticut Health Center in Farmington, CT. The Beck lab uses and develops genomic and transcriptomic techniques to identify variation within repetitive and complex regions of mammalian genomes. As a postdoctoral fellow in the Beck lab, you would lead projects examining the mechanisms and consequences of structural variants across human and mammalian organisms.
To accomplish these goals, the fellow will analyze existing genomic and transcriptomic data with computational tools to identify novel loci of interest, and will execute laboratory experiments to test the consequences of genomic variation. Fluency with multiple experimental techniques coupled with ability or a willingness to learn Python or R and common bioinformatics tools is required to carry out analyses and prepare results for publication. Experience with cell culture, and in particular iPSCs, will be beneficial for these projects.
Key Responsibilities:
  • Conduct cell culture, molecular biology and biochemistry experiments
  • Maintain lab equipment, reagents, and follow safety protocols
  • Author manuscripts and grant applications
  • Present results at lectures and conferences
  • Use bioinformatics tools to analyze genomic and transcriptomic data from human and mouse samples
  • Interpret variation, variant mechanisms, and the effect of variants on transcription
  • Contribute to project planning and implementation
  • Perform data curation and maintain documentation
  • Generate reproducible analysis and properly use statistics to support observations
  • Collaborate with a multidisciplinary team of researchers who perform bench and computational experiments

Preferred/bonus skills:
  • Experience with iPSC culture and differentiation
  • Knowledge of structural variation and variant mechanisms
  • Experience using computational libraries for tabular data and statistical analysis
  • Experience executing jobs and pipelines in a high-performance computing cluster
  • Experience working in a Linux command-line environment

Qualifications:
  • PhD in Physiology, Molecular Biology, Genetics, Biomedical Engineering, or a related field
  • Strong publication record in peer-reviewed journals
  • Excellent communication and teamwork skills, with the ability to work independently and collaboratively
  • Experience using statistical inference to support results

Application Instructions: Please submit your current CV, at least 2 letters of reference, and a 1-page (maximum) statement
JAX Salary:
Year 0 - 1: $65,589
Year 1 - 2: $67,318
Year 2 - 3: $69,095
Year 3 - 4: $70,521
Year 4 - 5: $72,877
Year 5 - 6: $75,569
Based on years of experience as Postdoc
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit www.jax.org.
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

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