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Remote Hpc System Engineer Jobs in Connecticut (NOW HIRING)

GENERAL ENGINEER

New London, CT · On-site +1

$89K - $158K/yr

You will ensure appropriate systems engineering processes are properly applied during In-Service ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Knowledge of distributed NoSQL database systems. * Experience with data engineering, ETL technology ...

Posted today

$139K - $168K/yr

Improve our existing Machine Learning systems using your expertise * Identify new opportunities to ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Improve our existing Machine Learning systems using your expertise * Identify new opportunities to ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Improve our existing Machine Learning systems using your expertise * Identify new opportunities to ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Improve our existing Machine Learning systems using your expertise * Identify new opportunities to ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Improve our existing Machine Learning systems using your expertise * Identify new opportunities to ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Improve our existing Machine Learning systems using your expertise * Identify new opportunities to ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Improve our existing Machine Learning systems using your expertise * Identify new opportunities to ... LI-SS2 LI-REMOTE

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Remote Hpc System Engineer information

Does HPC pay well?

High-Performance Computing (HPC) system engineers typically earn competitive salaries due to their specialized skills in managing complex computing environments, often including knowledge of Linux, scripting, and cluster management. Salaries vary based on experience, location, and industry, but HPC roles generally offer above-average compensation compared to other IT positions.

What are the key skills and qualifications needed to thrive as a Remote HPC System Engineer, and why are they important?

To thrive as a Remote HPC System Engineer, you need expertise in Linux system administration, parallel computing, networking, and a degree in computer science or related field. Familiarity with job schedulers (like Slurm), cluster management tools, scripting languages (such as Python or Bash), and certifications like CompTIA Linux+ or Red Hat Certified Engineer are highly valuable. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These skills ensure the reliable operation, optimization, and scalability of HPC systems in distributed environments.

What are some common challenges faced by Remote HPC System Engineers, and how can they be managed effectively?

Remote HPC System Engineers often encounter challenges such as troubleshooting complex hardware or software issues without physical access, ensuring seamless system performance, and coordinating with geographically dispersed teams. These can be managed by leveraging strong remote monitoring tools, maintaining clear documentation, and establishing effective communication channels with on-site staff. Proactively scheduling regular system health checks and participating in virtual team meetings can also help address problems quickly and maintain high system reliability.

Can a system engineer work from home?

Remote HPC System Engineers can often work from home, especially if their role involves managing and maintaining high-performance computing systems through remote access tools. However, some tasks may require on-site presence for hardware installation, troubleshooting, or collaboration. The ability to work remotely depends on the employer's policies and the specific responsibilities of the position.

What engineer makes $500,000 a year?

Highly experienced remote HPC (High-Performance Computing) System Engineers with specialized skills in cluster management, parallel computing, and advanced hardware can earn salaries approaching or exceeding $500,000 annually, especially in senior or leadership roles at large technology or research organizations. Such compensation often includes bonuses, stock options, and other incentives for expertise in complex systems and high-demand environments.

What engineers make $300,000 a year?

Senior HPC (High-Performance Computing) System Engineers with extensive experience, advanced skills in parallel computing, and certifications in relevant technologies can earn $300,000 or more annually. These roles often require expertise in system architecture, optimization, and managing large-scale computing environments, typically within specialized industries or research institutions.

What is the difference between Remote Hpc System Engineer vs Remote Cloud Infrastructure Engineer?

AspectRemote Hpc System EngineerRemote Cloud Infrastructure Engineer
CredentialsTypically requires Linux certifications, HPC-specific trainingOften requires cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentHigh-performance computing clusters, research labsCloud platforms, data centers, virtualized environments
Industry UsageResearch, scientific computing, academiaTech, finance, enterprise IT
Search/Comparison IntentUnderstanding HPC-specific roles vs cloud rolesComparing on-premise HPC vs cloud infrastructure

The Remote Hpc System Engineer focuses on managing and optimizing high-performance computing clusters, often in research or scientific environments. In contrast, the Remote Cloud Infrastructure Engineer specializes in designing and maintaining cloud-based infrastructure across various industries. While both roles require technical expertise in system management, their environments and certifications differ, catering to distinct operational needs.

What are Remote HPC System Engineers?

Remote HPC (High Performance Computing) System Engineers are IT professionals who design, implement, manage, and troubleshoot HPC systems and clusters from a remote location. They work with advanced computing infrastructure that supports scientific research, complex simulations, and large-scale data processing. Their responsibilities include configuring hardware and software, monitoring system performance, ensuring security, and providing technical support to users, all while working off-site. This role requires strong expertise in HPC technologies, operating systems like Linux, networking, and scripting, as well as effective communication skills for collaborating with distributed teams.
What are the most commonly searched types of Hpc System Engineer jobs in Connecticut? The most popular types of Hpc System Engineer jobs in Connecticut are:
What are popular job titles related to Remote Hpc System Engineer jobs in Connecticut? For Remote Hpc System Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Hpc System Engineer jobs in Connecticut look for? The top searched job categories for Remote Hpc System Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Hpc System Engineer jobs? Cities in Connecticut with the most Remote Hpc System Engineer job openings:
Infographic showing various Remote Hpc System Engineer job openings in Connecticut as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted 20 days ago


Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
Sema4 is seeking a talented, self-motivated Software Engineer II - Bioinformatics R&D to contribute to cutting-edge translational bioinformatics and clinical product development. As a member of the R&D Bioinformatics department, you will act as a critical member of the Sema4 clinical and research ecosystem focused on innovation, reliability, and quality analysis of high-throughput data at an unprecedented scale. You will use advanced cloud computing technologies to do big data analytics. You will be part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data to understand mutations and mutation processes in cancer and reproductive health and to translate that understanding to clinical utility. You will develop systems for integrating novel informatics and genomics tools and methodologies into clinical products and practices.
RESPONSIBILITIES
  • Carry out software design, coding, testing, debugging, and documentation
  • Automate existing analysis workflows, migrate existing workflows to cloud platforms, and develop new workflows and pipelines for clinical and research projects
  • Develop, implement, and follow best practices in software development, code versioning, software testing, and deployment
  • Collaborate closely with scientists, clinicians, and product managers to design, engineer, and implement analytics pipeline solutions in the Amazon AWS cloud environment
  • Deliver high-quality, well-tested software to the production bioinformatics team for use in clinical products
  • Contribute to bioinformatics research analysis
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs
  • Train and provide support for bioinformatics scientists and other team members in internally developed best practices for software development, testing, and software development lifecycle (SDLC) policies

QUALIFICATIONS
  • M.S. in Computer Science, Computer Engineering, Bioinformatics, Computational Biology, or related fields. B.S. plus equivalent experience will be considered
  • 2+ years of post-graduate software development experience
  • Working in a team, self-motivation, ability to manage multiple tasks simultaneously, ability to solve problems independently
  • Possess strong understanding of computer science fundamentals, algorithms, and software engineering best practices
  • Strong coding proficiency in Python and R programming languages or similar. Experience with multiple coding languages such as Java/Scala is preferred.
  • Programming experience in Unix/Linux environment
  • Experience with Docker or similar software container platform
  • Hands-on experience working with NGS and bioinformatics tools will be a plus, especially GATK and WDL and common NGS data formats (VCF, BAM)
  • Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS and DNAnexus
  • Developing codebases using distributed version control tools (especially Git) and software issue tracking systems (especially Jira)
  • Excellent communication and interpersonal skills needed for working in an interdisciplinary team of scientists, engineers, and clinicians
  • Well-versed in the art of effective technical communication, especially graphical communication, about systems design and high-complexity datasets