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Part Time High Performance Computing Jobs (NOW HIRING)

High Performance Academy

CA · On-site

$23/hr

June 2026 ABOUT US At High Performance Academy (HPA), we focus on holistic development, both on and off the field. We are on a mission to serve 100,000 youth by 2030 through our various Programs ...

Advantech

RMA Inventory Clerk, Part-Time

Milpitas, CA · On-site

$20 - $24/hr

The Part-Time RMA Material Planning Clerk supports daily inventory control and material flow ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

EnCharge AI

$50 - $55/hr

EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of ... The high-performance architecture is coupled with seamless software integration and will enable the ...

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How much do part time high performance computing jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for part time high performance computing in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

What is the difference between Part Time High Performance Computing vs Part Time Data Analyst?

AspectPart Time High Performance ComputingPart Time Data Analyst
Required credentialsComputer science, engineering degrees, certifications in HPCStatistics, data analysis, programming skills
Work environmentResearch labs, tech companies, academic institutionsBusiness offices, research firms, consulting agencies
Industry usageTechnology, research, scientific computingFinance, marketing, healthcare, business intelligence

Part Time High Performance Computing roles focus on managing and optimizing large-scale computational tasks, often requiring technical degrees and working in research or tech environments. In contrast, Part Time Data Analysts interpret data to support business decisions, typically working in corporate or consulting settings. Both roles involve data handling but differ in technical complexity and industry focus.

What are the most commonly searched types of High Performance Computing jobs? The most popular types of High Performance Computing jobs are:
What states have the most Part Time High Performance Computing jobs? States with the most job openings for Part Time High Performance Computing jobs include:
What job categories do people searching Part Time High Performance Computing jobs look for? The top searched job categories for Part Time High Performance Computing jobs are:
Part Time High Performance Computing jobs near you
Infographic showing various Part Time High Performance Computing job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $125,019 per year, or $60.1 per hour.
Adjunct Professor of Computer Science - MPCS (Open-Rank)

Adjunct Professor of Computer Science - MPCS (Open-Rank)

The University of Chicago

Chicago, IL • On-site

Part-time

Posted 7 days ago

University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

108th of 532 rated colleges and universities

Job description

Description
The Department of Computer Science at the University of Chicago is seeking qualified applicants for the position of part-time Adjunct Professor (open rank) to teach in its Masters Program in Computer Science (MPCS, https://masters.cs.uchicago.edu).
The search is open with respect to subfield, but we encourage applications from practitioners and educators in the fields of Machine Learning and Artificial Intelligence, Computer Systems. More specifically, the MPCS has specific programmatic needs in Generative AI, High-Performance Computing, and Computer Security.
Selected candidates will be appointed as Adjunct Assistant Professor, Adjunct Associate Professor, or Adjunct Professor, depending on qualifications. Adjunct faculty are appointed to an initial one-year term, with possibility of renewal to a three or five year term, and are typically expected to teach at least one course per academic year.
This position is part-time and is not benefits-eligible. Compensation is paid on a per-course basis in the teaching quarter(s). Applicants must currently be authorized to work in the U.S.
Courses are held for nine weeks during each academic quarter, with the tenth week for a final project or exam. Instruction is expected to be primarily in person, with some limited opportunities to offer remote or hybrid courses. Courses can meet in the daytime (meeting 2-3 times a week for a total of up to three hours) or in the evening (meeting once per week for up to three hours). The exact day(s)/time(s) are determined in consultation with the adjunct faculty member.
While university-level teaching experience is preferred, it is not strictly required. Successful applicants without university-level teaching experience will receive coaching and mentoring from more senior instructors before and during a new hire's first course.
Qualifications
Minimum Qualifications:
  • One of the following:
    • A doctorate in Computer Science, Data Science, or a related field at the time of appointment
    • A masters degree and 4 years of relevant professional experience.
    • A bachelor's degree and 8 years of relevant professional experience.

Preferred Qualifications:
  • Teaching experience in Computer Science, Data Science, or a related field at the undergraduate or graduate level, as either an instructor of record or a teaching assistant.
  • Work experience in a computing-related industry.

Application Instructions
Applications must be submitted online through the University of Chicago Jobs website: apply.interfolio.com/170816. Review of applications will begin on September 1, 2025 and continue until the position is filled.
The following materials are required:
  • Cover letter detailing teaching experience (if any) and interests
  • Curriculum vitae
  • A list of three references, including name, title, employer/school and email address

The following optional materials may be submitted:
  • Sample syllabus for a class the applicant has taught before, or would be interested in teaching
  • Teaching evaluations from past teaching at the university level

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