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Internship High Performance Computing Engineer Jobs in Georgia

Absolics Inc

SPC Data Control Engineer

Covington, GA

$70K - $80K/yr

The company provides scalable solutions tailored for businesses in high-performance computing ... Position: SPC Data Control Engineer Location: COVINGTON, GA JOB SUMMARY DUTIES/RESPONSIBILITIES:

Absolics Inc

SPC Data Control Engineer

Covington, GA

$70K - $80K/yr

The company provides scalable solutions tailored for businesses in high-performance computing ... Position: SPC Data Control Engineer Location: COVINGTON, GA JOB SUMMARY DUTIES/RESPONSIBILITIES:

Absolics Inc

SPC Data Control Engineer

Covington, GA · On-site

$70K - $80K/yr

The company provides scalable solutions tailored for businesses in high-performance computing ... Position: SPC Data Control Engineer Location: COVINGTON, GA JOB SUMMARY DUTIES/RESPONSIBILITIES:

Introl

Data Center Technician

Atlanta, GA · On-site

$22 - $35/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 ...

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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 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 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.
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Internship High Performance Computing Engineer jobs near you

Cryptanalytic Computer Scientist 3

Gormat

Augusta, GA

Full-time

Posted 22 days ago

Job description

We are looking for a Cryptanalytic Computer Scientist who can apply their expertise in computer science, mathematics, and engineering to design, develop, and evaluate algorithms and techniques for solving complex cryptographic and security-related problems. The ideal candidate will create and utilize mathematical models and methods to study cryptographic systems, analyze vulnerabilities, and develop solutions to secure sensitive information. Additionally, you will work on high-performance computing projects to optimize cryptographic processes and address security challenges across diverse computing environments.

The Level 3 Cryptanalytic Computer Scientist shall possess the following capabilities:

  • Design, develop, and evaluate algorithms and techniques for solving complex cryptographic and security-related problems.
  • Create and utilize mathematical models and methods to study cryptographic systems, analyze vulnerabilities, and develop solutions to secure sensitive information.
  • Work on high-performance computing projects to optimize cryptographic processes and address security challenges across diverse computing environments.
  • Support for JCPG; Prior CNO tools and CNE experience required, and proficiency and experience working malicious cyber actors is strongly preferred. Proficiency with Jupyter Notebooks using Python is required.

Qualifications:

  • Doctoral degree plus 4 years of relevant experience
  • Master's degree with 6 years of relevant experience
  • Bachelor's Degree with 8 years of relevant experience

  • Associates degree with 10 years of relevant experience


TS/SCI with polygraph is required.

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