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Internship High Performance Computing Engineer Jobs in Collierville, TN

Introl

Data Center Technician

Memphis, TN · On-site

$30 - $36/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

SpaceXAI

Site Reliability Engineer - Data Center

Memphis, TN

$55.25 - $73.50/hr

... high-performance computing or data center environments. * Proven expertise in firmware analysis ... Certifications in hardware engineering or reliability (e.g., CRE, CompTIA Server+). * Prior work in ...

SpaceXAI

Site Reliability Engineer - Data Center

Southaven, MS

$53.50 - $71.25/hr

... high-performance computing or data center environments. * Proven expertise in firmware analysis ... Certifications in hardware engineering or reliability (e.g., CRE, CompTIA Server+). * Prior work in ...

Posted today

SpaceXAI

Site Reliability Engineer - Data Center

Memphis, TN · On-site

$55.25 - $73.50/hr

... high-performance computing or data center environments. * Proven expertise in firmware analysis ... Certifications in hardware engineering or reliability (e.g., CRE, CompTIA Server+). * Prior work in ...

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Internship High Performance Computing Engineer information

See Collierville, TN salary details

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$53

$86

How much do internship high performance computing engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship high performance computing engineer in Collierville, TN is $53.15, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $60.14 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 cities near Collierville, TN are hiring for Internship High Performance Computing Engineer jobs?

Cities near Collierville, TN with the most Internship High Performance Computing Engineer job openings:

Internship High Performance Computing Engineer jobs near you

Principal Computational Engineer

St. Jude Childrens Research Hospital

Memphis, TN • On-site

Other

Posted 15 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,060 rated hospitals

Job description

St. Jude Children's Research Hospital is seeking a Principal Computational Engineer to provide technical leadership and strategic vision for the advanced computing environments and software ecosystems leveraged by researchers to further the St. Jude mission. This role serves as a senior technical leader within High Performance Research Computing (HPRC), partnering closely with researchers, data scientists, software engineers, and institutional stakeholders to define and execute institutional research computing strategy.
The Principal Computational Engineer will lead the design, evaluation, and implementation of scalable scientific computing solutions spanning high-performance computing (HPC), cloud computing, research software engineering, data-intensive workflows, artificial intelligence and machine learning platforms, and advanced data management systems. The successful candidate will possess a strong understanding of the computational challenges associated with modern life science research and ideally have experience supporting research environments that facilitate bioinformatics, genomics, imaging, structural biology, computational biology, or other data-intensive scientific workflows.
As a trusted technical advisor, this individual will help research programs leverage advanced computational technologies while ensuring solutions are sustainable, secure, scalable, and aligned with institutional objectives. The role requires a unique combination of expertise in computational science, software development, research computing infrastructure, and collaborative engagement with multidisciplinary teams. The Principal Computational Engineer will guide architectural decisions, evaluate emerging technologies, mentor engineering team members, and translate complex scientific requirements into robust computational capabilities that support research across St. Jude.
Job Responsibilities:
  • Provide long-term, sustainable, and scalable technical vision and strategy for ongoing IS efforts to support basic science and translational research.
  • Oversee definition and execution of IS technology strategy in line with research needs.
  • Provide inputs for effective planning, analysis, and implementation of technology solutions to support basic science research.
  • Lead feasibility studies, time and cost estimates, and development and implementation of new or revised computational applications and systems.
  • Oversee implementation of security, and performance monitoring of computational software applications.
  • Provide project management guidance to teams for delivery of projects and tasks within timelines and budget, and in accordance with design specifications.
  • Guide technical management of computational and data processing applications and systems including software installation, configuration, testing, and file management.
  • Conduct continuous research and assessment of new resources and technologies available for application development in RIS and deployment.
  • Engage with the Institutional Review Board, Compliance, Internal Audit, Legal, and other regulatory entities to ensure proper protection of patient data.
  • Develop team members through formal training and mentoring activities and ensure cross-training of mid and senior members across areas of expertise/ key skill sets.
  • Perform other duties as assigned to meet the goals and objectives of the department and institution.
  • Maintains regular and predictable attendance.
  • Consistently meet job expectations, adhere to policies, and deliver quality work while applying. St. Jude values and principles. Managers evaluate employee performance throughout the year-specifically through the spring and fall Check-In milestones and the Annual Performance Review. All employees are encouraged to actively participate in these performance management processes.

Minimum Education and/or Training:
  • Master's degree in computer science, data science, information science, mathematics, or a related field of study required.
  • PHD preferred.

Minimum Experience:
  • Minimum Experience: 8+ years of progressive experience developing, optimizing, or maintaining scientific or computational applications.
  • Demonstrated history of successfully delivering complex projects.
  • Demonstrated contribution and impact on the domain of specialty.
  • Proven success collaborating across disciplines.
  • Demonstrated ability to lead projects and guide team members.
  • Recognized expertise with algorithms, pipelines, or systems development.

Desired/Highly Preferred Experience:
  • Demonstrated history of supporting Research Computing Environments.
  • Experience with Bioinformatics, Bioimage, or related Life Science pieplines.
  • Experience with HPC schedulers like Slurm, LSF, and Kubernetes.

Special Skills, Knowledge and Abilities:
  • Shows strong skills in thinking critically with a systemic view.
  • Shows expertise in taking a structured approach to analyze and resolve issues.
  • Able to distinguish between different sets of issues, set priorities, and make decisions.
  • Can present/facilitate independently in senior-level meetings. Presents information as a structured story and anticipates questions well.
  • Addresses difficult questions and challenges effectively.
  • Able to effectively influence others using facts and logic.
  • Keeps teams energized and focused on high-quality results.
  • Thinks long-term in building and executing metrics-driven plans and stretch goals for St. Jude.
  • Builds structures and processes with clear lines of authority and accountability so teams know what they are empowered and accountable to do.
  • Is an organizational expert in parallel programming and high-performance computing using OpenMP, MPI, and Pthreads.
  • Highly skilled in UNIX/Linux scripting languages and other high-level programming languages.
  • Leverages expertise in computational algorithms and systems, HPC applications and data processing, design principles, and computational scalability and reliability, to analyze complex research needs and design/implement/adopt new algorithms/processes.
  • Provides inputs to overall strategy in identification of critical computational tools, hardware, and resources for business/research teams.
  • Proactively engages with customers to seek feedback and suggestions to deliver high quality service within own area.
  • Executes new approaches to improve customer systems and processes.
  • Independently seeks out and addresses complex customer needs.
  • Thinks holistically and plans for interdependencies and impact of work and processes with other teams within and outside of IT.
  • Always focused on quality, costs, sustainability from a complete ownership mindset and approach.
  • Demonstrates a strong collaborative style with emotional empathy and is able to work/ negotiate through challenging situation

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $114,400 - $216,320 per year for the role of Principal Computational Engineer.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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