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Internship High Performance Computing Engineer Jobs in Connecticut

Staff Engineer, Sr. Manager

Groton, CT · Hybrid

$124.40K - $207.40K/yr

Translate stakeholder input into robust, high-performance, scalable, cost effective computing platforms. * Partner with HPC specialists (engineers, administrators, and users) to capture institutional ...

New

HPC AI Solution Architect (S2S)

Hartford, CT · On-site

$63.50 - $83.75/hr

... Engineer on their Silicon2Service team. The role involves designing and deploying integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure ...

HPC AI Solution Architect (S2S)

Stamford, CT · On-site

$67.25 - $88.50/hr

... Engineer on their Silicon2Service team. The role involves designing and deploying integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure ...

... Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with ...

... Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with ...

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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.

What are popular job titles related to Internship High Performance Computing Engineer jobs in Connecticut? For Internship High Performance Computing Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Connecticut look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Internship High Performance Computing Engineer jobs? Cities in Connecticut with the most Internship High Performance Computing Engineer job openings:
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.
Staff Engineer, Sr. Manager

Staff Engineer, Sr. Manager

Pfizer

Groton, CT • Hybrid

$124.40K - $207.40K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 hours ago


Pfizer rating

8.3

Company rating: 8.3 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

23rd of 70 rated pharmaceutical


Job description

ROLE SUMMARY

Pfizer's committed to the application of computational science in the areas of drug discovery and development. As part of this mission, we have recently embarked on a large-scale migration of our computational infrastructure to cloud.

This role leverages extensive experience in cloud engineering and DevOps and requires a hands-on approach to designing and delivering robust High Performance Computing (HPC) solutions supporting computational workloads across the organization.

We are seeking an experienced individual to drive architecture, infrastructure automation, migration and operational excellence. You will collaborate with HPC engineers and scientific computing specialists to develop scalable cloud native infrastructure that underpins modernization of the scientific computing platform.

ROLE RESPONSIBILITIES


Platform Architecture and Engineering

  • In this role you will design, implement, operate, and own robust and dependable infrastructure for HPC and ML/AI workloads in a cloud environment (AWS/GCP).

  • Lead containerization, deployment, and operation of user- and admin-facing HPC platforms (Slurm, Open On Demand, Prometheus/Grafana, batch and distributed computing platforms) across cloud environments.

  • Translate stakeholder input into robust, high-performance, scalable, cost effective computing platforms.

  • Partner with HPC specialists (engineers, administrators, and users) to capture institutional knowledge and manual processes in IaC workflows, transforming ad-hoc deployment practices into reproducible, version-controlled, automated procedures.

Automation and DevOps

  • Develop and maintain infrastructure automation using IaC tools like Terraform and CloudFormation to ensure repeatable environment provisioning and scaling.

  • Create reusable Terraform modules. Develop and enforce standards. Be a driver for implementing and maintaining all cloud infrastructure using IaC tools.

  • Operationalize containerized solutions using Docker and Kubernetes.

  • Own the full lifecycle of infrastructure management, from provisioning to operations, support, updating, and teardown of production computing platforms.

  • Perform troubleshooting, system analysis, and benchmarking to resolve issues and maintain a high-performance environment.

Monitoring and Reliability

  • Develop and maintain monitoring, logging, and alerting for the infrastructure (e.g., CloudWatch, Prometheus/Grafana).

  • Design new dashboards, workflows, and utilities to improve observability, cost monitoring, workload efficiency, user, or administration experience.

  • Document architecture, deployment processes, and operational procedures.

  • Partner closely with team members to support delivery of scientific computing services including user support, Linux administration, operations, job scheduling, application management, and resource optimization.

BASIC QUALIFICATIONS

  • B.S. in computer science, life science, data science or similar fields.

  • 6+ years of experience in cloud infrastructure engineering with a proven track record of developing and supporting robust IaC deployments.

  • Experience managing scientific computing workloads in an enterprise environment.

  • Advanced experience with at least one of AWS and GCP, including knowledge of core compute and storage services relevant to HPC.

  • Solid understanding of cloud networking, identity, and security controls.

PREFERRED QUALIFICATIONS

  • Prior experience with HPC deployment utilities including AWS ParallelCluster, AWS Parallel Computing Services, and Google Cloud Cluster Toolkit.

  • Proficiency with distributed computing environments, especially EKS/GKE/Kubernetes.

  • Familiarity with HPC environments, job schedulers (Slurm), HPC application containers (Docker, Singularity, Apptainer) and NVIDIA GPU computing.


Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Occasional international travel for team meetings and conferences.

OTHER JOB DETAILS:

  • Last Date to Apply for Job: April 14th, 2026

  • Work Location Assignment:Hybrid. Must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business

The annual base salary for this position ranges from $124,400.00 to $207,400.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.

Pfizer endeavors to makewww.pfizer.com/careersaccessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please emaildisabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.

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About Pfizer

Sourced by ZipRecruiter

All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives. Our Health and Science System Specialists Team provides leadership across patient care settings in the complex Hospital, Health System, and Key Medical Group environment to bring value to our customers and patients in this dynamic ecosystem.

Industry

Pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1849