Mid Level High Performance Computing Jobs
Mid level high performance computing jobs go to engineers ready to own simulation pipelines, optimize parallel workloads end to end, and guide junior team members without close oversight. Roles are spread across on-site, hybrid, and remote settings in Aerospace & Defense, Technology & Software, and Education, with employers like Collins Aerospace, Amazon Web Services, and Zifo hiring at this level now.
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Open roles38
Top stateCalifornia
Top employerCollins Aerospace
Top cityCedar Rapids, IA
Work type83% On-site
Top industryAerospace
Showing 5 of 38+ Mid Level High Performance Computing jobs
IT Manager – Research Computing - Goizueta Business School
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New 1m ago
Emory University
IT Manager – Research Computing - Goizueta Business School
Atlanta, Georgia
New 1m ago
Senior Principal HPC Administrator (High Performance Computing), Onsite Tucson, AZ
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New 1m ago
Raytheon
Senior Principal HPC Administrator (High Performance Computing), Onsite Tucson, AZ
Tucson, Arizona
New 1m ago
Cloud Computing Application Architect, Senior
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New 1m ago
Booz Allen Hamilton
Cloud Computing Application Architect, Senior
Chantilly, Virginia
New 1m ago
Applied Scientist, Processor, Amazon Center for Quantum Computing
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New 1m ago
Amazon Web Services
Applied Scientist, Processor, Amazon Center for Quantum Computing
Pasadena, California
New 1m ago
Sr. Go-To-Market Partner Specialist, End User Computing – ISV Partnerships, AWS, Applied AI Solutions Partner GTM
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New 1m ago
Amazon Web Services
Sr. Go-To-Market Partner Specialist, End User Computing – ISV Partnerships, AWS, Applied AI Solutions Partner GTM
Seattle, Washington
New 1m ago
New 1m ago
IT Manager – Research Computing - Goizueta Business School
Emory University·Atlanta, Georgia
Job functions:
$85k - $135k/yr
5+ yrs exp.
Remote (US)
Master's degree
Full Time
10,000+ employees
Job Description
Discover Your Career at Emory University:
This role partners closely with faculty, doctoral students, research centers, and administrative leadership to enable high-impact, data-intensive, and computationally advanced research.
The Manager leads the development of secure, scalable, and innovative computing environments that support analytics, AI/ML, econometrics, behavioral research, and interdisciplinary scholarship while ensuring compliance with institutional, legal, and funding agency requirements.
KEY RESPONSIBILITIES:
#LI-CS1
Additional Details:
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
Description:
The Manager of Research Computing provides strategic leadership for the design, delivery, and advancement of the Goizueta Business School’s research technology and data infrastructure.
This role partners closely with faculty, doctoral students, research centers, and administrative leadership to enable high-impact, data-intensive, and computationally advanced research.
The Manager leads the development of secure, scalable, and innovative computing environments that support analytics, AI/ML, econometrics, behavioral research, and interdisciplinary scholarship while ensuring compliance with institutional, legal, and funding agency requirements.
KEY RESPONSIBILITIES:
- Manages and supervises staff and operations in an Information Technology (IT) area.
- Advises management on issues within a specific IT area to ensure compliance and uniform systems across the division and enterprise.
- Works closely with other area managers and directors to ensure smooth and transparent processes and systems.
- Designs information systems and procedures to support division operations.
- Hires, trains and supervises staff.
- Performs related responsibilities as required.
ADDITIONAL JOB DETAILS:
-
Strategic Leadership & Research Enablement
- Develop and execute a multi-year roadmap for research infrastructure supporting advanced analytics, AI/ML, simulation, and high-performance computing.
- Align research computing services with faculty priorities, accreditation expectations, and the school’s strategic research goals.
-
Faculty & Researcher Partnership
- Consult with faculty and doctoral students to assess computational, data, and software needs across disciplines (finance, marketing, strategy, operations, accounting, and behavioral sciences).
- Provide hands-on and advisory support for grant-funded research projects, including data management plans, compliance documentation, and technical architecture.
- Build partnerships with university IT, libraries, compliance offices, and external research consortia.
-
Technology & Infrastructure Oversight
- Lead the design and management of secure research environments, including cloud platforms, on-premise systems, and hybrid architectures.
- Oversee access to licensed data sources, proprietary datasets, and secure enclaves for sensitive or restricted research data.
- Ensure high availability, performance, and scalability of research systems supporting large-scale data analysis and computational modeling.
-
Data Governance, Security & Compliance
- Establish policies and best practices for data governance, privacy, and research data lifecycle management.
- Ensure compliance with IRB, FERPA, HIPAA (where applicable), GDPR, and funding agency requirements.
- Lead risk management for sensitive, proprietary, and regulated data environments.
-
Operational & Financial Management
- Develop and manage the research computing budget, including forecasting, vendor management, and cost-recovery models.
- Evaluate and negotiate contracts for data providers, cloud services, and research software platforms.
- Define service models, SLAs, and performance metrics to ensure high-quality support.
-
Team Leadership & Development
- Foster a service-oriented culture focused on innovation, responsiveness, and academic partnership.
- Create training programs and workshops to improve research computing literacy across faculty and students.
KEY COMPETENCIES:
- Strategic Planning & Innovation
- Faculty Partnership & Academic Service
- Data Governance & Compliance Leadership
- Budget & Vendor Management
- Team Development & Change Leadership
- Risk Management & Cybersecurity Awareness
COMPENSATION:
- Salary Expectation: This position's annualized salary is budgeted between $85,100 and $135,000. Salary is determined by education level, experience, and internal equity.
MINIMUM QUALIFICATIONS:
- A bachelor's degree and five years of related IT experience including project management and lead or supervisory experience or an equivalent combination of education, training and experience.
PREFERRED QUALIFICATIONS:
- Master's degree in a related field.
- Experience in a top-tier research university or business school environment.
- Familiarity with IRB processes, sponsored research compliance, and federal funding requirements.
- Background in AI/ML platforms, high-performance computing, or large-scale data environments.
- Demonstrated experience supporting faculty research and grant-funded projects.
- Strong knowledge of cloud computing platforms, data governance, and research data security.
- Excellent communication and stakeholder engagement skills.
NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.
#LI-CS1
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
Emory University
IT Manager – Research Computing - Goizueta Business School
Atlanta, Georgia
New 1m ago10,000+ employees
Job functions:
$85k - $135k/yr
5+ yrs exp.
Remote (US)
Master's degree
Full Time
Job Description
Discover Your Career at Emory University:
This role partners closely with faculty, doctoral students, research centers, and administrative leadership to enable high-impact, data-intensive, and computationally advanced research.
The Manager leads the development of secure, scalable, and innovative computing environments that support analytics, AI/ML, econometrics, behavioral research, and interdisciplinary scholarship while ensuring compliance with institutional, legal, and funding agency requirements.
KEY RESPONSIBILITIES:
#LI-CS1
Additional Details:
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
Description:
The Manager of Research Computing provides strategic leadership for the design, delivery, and advancement of the Goizueta Business School’s research technology and data infrastructure.
This role partners closely with faculty, doctoral students, research centers, and administrative leadership to enable high-impact, data-intensive, and computationally advanced research.
The Manager leads the development of secure, scalable, and innovative computing environments that support analytics, AI/ML, econometrics, behavioral research, and interdisciplinary scholarship while ensuring compliance with institutional, legal, and funding agency requirements.
KEY RESPONSIBILITIES:
- Manages and supervises staff and operations in an Information Technology (IT) area.
- Advises management on issues within a specific IT area to ensure compliance and uniform systems across the division and enterprise.
- Works closely with other area managers and directors to ensure smooth and transparent processes and systems.
- Designs information systems and procedures to support division operations.
- Hires, trains and supervises staff.
- Performs related responsibilities as required.
ADDITIONAL JOB DETAILS:
-
Strategic Leadership & Research Enablement
- Develop and execute a multi-year roadmap for research infrastructure supporting advanced analytics, AI/ML, simulation, and high-performance computing.
- Align research computing services with faculty priorities, accreditation expectations, and the school’s strategic research goals.
-
Faculty & Researcher Partnership
- Consult with faculty and doctoral students to assess computational, data, and software needs across disciplines (finance, marketing, strategy, operations, accounting, and behavioral sciences).
- Provide hands-on and advisory support for grant-funded research projects, including data management plans, compliance documentation, and technical architecture.
- Build partnerships with university IT, libraries, compliance offices, and external research consortia.
-
Technology & Infrastructure Oversight
- Lead the design and management of secure research environments, including cloud platforms, on-premise systems, and hybrid architectures.
- Oversee access to licensed data sources, proprietary datasets, and secure enclaves for sensitive or restricted research data.
- Ensure high availability, performance, and scalability of research systems supporting large-scale data analysis and computational modeling.
-
Data Governance, Security & Compliance
- Establish policies and best practices for data governance, privacy, and research data lifecycle management.
- Ensure compliance with IRB, FERPA, HIPAA (where applicable), GDPR, and funding agency requirements.
- Lead risk management for sensitive, proprietary, and regulated data environments.
-
Operational & Financial Management
- Develop and manage the research computing budget, including forecasting, vendor management, and cost-recovery models.
- Evaluate and negotiate contracts for data providers, cloud services, and research software platforms.
- Define service models, SLAs, and performance metrics to ensure high-quality support.
-
Team Leadership & Development
- Foster a service-oriented culture focused on innovation, responsiveness, and academic partnership.
- Create training programs and workshops to improve research computing literacy across faculty and students.
KEY COMPETENCIES:
- Strategic Planning & Innovation
- Faculty Partnership & Academic Service
- Data Governance & Compliance Leadership
- Budget & Vendor Management
- Team Development & Change Leadership
- Risk Management & Cybersecurity Awareness
COMPENSATION:
- Salary Expectation: This position's annualized salary is budgeted between $85,100 and $135,000. Salary is determined by education level, experience, and internal equity.
MINIMUM QUALIFICATIONS:
- A bachelor's degree and five years of related IT experience including project management and lead or supervisory experience or an equivalent combination of education, training and experience.
PREFERRED QUALIFICATIONS:
- Master's degree in a related field.
- Experience in a top-tier research university or business school environment.
- Familiarity with IRB processes, sponsored research compliance, and federal funding requirements.
- Background in AI/ML platforms, high-performance computing, or large-scale data environments.
- Demonstrated experience supporting faculty research and grant-funded projects.
- Strong knowledge of cloud computing platforms, data governance, and research data security.
- Excellent communication and stakeholder engagement skills.
NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.
#LI-CS1
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
See All 38 Mid Level High Performance Computing Jobs
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Find JobsMid Level High Performance Computing Job Market
Who's Hiring
- Collins Aerospace7
- Amazon Web Services4
- Zifo2
- Axle1
- Qnity1
Top Industries Hiring
- Aerospace & Defense7
- Technology & Software6
- Education5
- Consulting & Professional Services5
- Distribution & Wholesale4
Mid Level High Performance Computing Jobs: Frequently Asked Questions
How do I get a mid level high performance computing job?
Position yourself around ownership, not just participation. Highlight projects where you designed or optimized parallel workflows, managed cluster resources, or improved application performance at scale. Concrete results matter most: throughput gains, reduced job runtimes, or cost savings on compute. Tailor your application to show you can operate with minimal oversight and have contributed meaningfully to production or research pipelines.
Which companies hire mid level high performance computings?
Companies hiring mid level high performance computings right now include Collins Aerospace, Amazon Web Services, and Zifo, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from national laboratories, defense contractors, cloud computing providers, and research-driven enterprises that run large-scale simulation or data-intensive workloads regularly.
Are there remote mid level high performance computing jobs?
Yes, though availability varies by employer and the nature of the cluster environment. About 17% of mid level high performance computing openings are remote or hybrid as of July 2026, reflecting demand from organizations with distributed research teams or cloud-based HPC infrastructure. Roles tied to on-premises supercomputers or classified systems are more likely to require on-site presence.
How do I move up to a mid level high performance computing role?
The path from entry level to mid level is built on deepening specialization and demonstrating independent ownership. Focus on mastering a core area, whether that is MPI or OpenMP programming, GPU acceleration, job scheduler administration, or performance profiling. Seek out projects where you own an outcome, not just a task. Measurable contributions, such as reducing queue wait times or improving application scaling, signal readiness for mid level responsibilities.
Which industries hire the most mid level high performance computings?
Mid Level high performance computing roles concentrate in Aerospace & Defense, Technology & Software, and Education, based on current listings on Migrate Mate as of July 2026. These sectors rely heavily on computationally intensive workloads, from molecular dynamics and climate modeling to financial risk simulation and AI training, making experienced HPC practitioners essential for keeping research and production pipelines running efficiently.