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High Performance Computing Hpc Jobs in Indiana (NOW HIRING)

ManTech

Senior Software Engineer

Crane, IN

$122K - $161K/yr

Experience with high-performance computing or resource-intensive system design * Advanced knowledge of container orchestration (e.g., Kubernetes, Docker Swarm, or Podman) * Strategic thinking and ...

ManTech International

Senior Software Engineer

Crane, IN · On-site

$122K - $161K/yr

Experience with high-performance computing or resource-intensive system design * Advanced knowledge of container orchestration (e.g., Kubernetes, Docker Swarm, or Podman) * Strategic thinking and ...

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High Performance Computing Hpc information

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$30.9K

$64.9K

$106.6K

How much do high performance computing hpc jobs pay per year?

As of Jun 20, 2026, the average yearly pay for high performance computing hpc in Indiana is $64,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $79,000.00 per year, depending on experience, location, and employer.

What is the difference between High Performance Computing Hpc vs Data Scientist?

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are some common challenges faced by professionals working in High Performance Computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is High Performance Computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a High Performance Computing (HPC) specialist, and why are they important?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.
What are popular job titles related to High Performance Computing Hpc jobs in Indiana? For High Performance Computing Hpc jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching High Performance Computing Hpc jobs in Indiana look for? The top searched job categories for High Performance Computing Hpc jobs in Indiana are:
High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Indiana as of June 2026, with employment types broken down into 4% Internship, 16% As Needed, 45% Full Time, 7% Part Time, 24% Temporary, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $64,943 per year, or $31.2 per hour.

Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visi...

Indiana University Academic Positions

Bloomington, IN

$56K/yr

Other

Posted 29 days ago

Job description

Position Details
Title Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visiting Research Fellow Appointment Status Non-Tenure Track Department IU Bloomington Jewish Studies Location Bloomington Position Summary

Visiting Research Fellow

Position Details
Department: Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program
Location: Indiana University Bloomington
Appointment: Non-Tenure Track, 1-year initial appointment (renewable for 2nd year, depending on funding and performance)
Compensation: $56,000 plus benefits
Start Date:April 2026
Position Summary
ISCA seeks a visiting research fellow to advance understanding of contemporary antisemitism through computational analysis of social media platforms. This position focuses on digital humanities and social media analytics under Dr. Gunther Jikeli's supervision, with particular emphasis on analyzing Instagram activities and rhetoric patterns.
Key Responsibilities
Manage Research Lab Social Media & Hate operations, including coordinating with students and managing computing infrastructure
Lead and expand Instagram analysis project examining campus groups
Develop new computational research projects on contemporary antisemitism
Build computational pipelines for social media data collection and analysis
Supervise graduate and undergraduate research assistants
Write scientific publications and present findings
Required Qualifications
MA in computational social science, digital humanities, computer science, or related field
Python proficiency for data analysis and social media data collection
Demonstrated experience leading computational research projects with social media analysis
Strong organizational skills and ability to work as team leader
Excellent written and oral communication skills
Preferred Qualifications
Background in antisemitism studies
Experience with R, NLP and deep learning libraries
High performance computing experience
Proficiency in German, French, or Arabic
How to Apply
Submit the following through Indiana University's PeopleAdmin system: https://indiana.peopleadmin.com/postings/31588
Cover letter describing research background, career goals, and interest in position
Current CV
Contact information for two references
Writing sample (optional)

Review of applications begins February 14, 2026 and continues until position is filled.

Contact: Dr. Gunther Jikeli (gjikeli@iu.edu)

Note: This position involves research on sensitive topics and may require handling potentially disturbing content. Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.
Basic Qualifications Required Qualifications
MA in computational social science, digital humanities, computer science, or related field
Python proficiency for data analysis and social media data collection
Demonstrated experience leading computational research projects with social media analysis
Strong organizational skills and ability to work as team leader
Excellent written and oral communication skills

Department Contact for Questions
Dr. Gunther Jikeli (gjikeli@iu.edu)
Additional Qualifications Preferred Qualifications
Background in antisemitism studies
Experience with R, NLP and deep learning libraries
High performance computing experience
Proficiency in German, French, or Arabic

Salary and Rank $56,000 - Visiting Research Associate ; FV8 Special Instructions For Best Consideration Date 02/13/2026 Expected Start Date 04/01/2026 Posting Number IU-101437-2025

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