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Hpc Postdoc Jobs in California (NOW HIRING)

Scripps Research

SENIOR CLOUD ENGINEER

San Diego, CA · On-site

$135K - $150K/yr

... postdoctoral training program. Scripps Research encompasses two elite and highly innovative ... Work closely with other HPC and IT Services team members to ensure compatibility, scalability, and ...

Scripps Research

SENIOR CLOUD ENGINEER

San Diego, CA

$135K - $150K/yr

... postdoctoral training program. Scripps Research encompasses two elite and highly innovative ... Work closely with other HPC and IT Services team members to ensure compatibility, scalability, and ...

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Hpc Postdoc information

What are HPC Postdocs?

HPC Postdocs, or High Performance Computing Postdoctoral Researchers, are scientists who have completed their PhD and are conducting advanced research that leverages powerful computational systems to solve complex problems. They often work at universities, research institutes, or national laboratories, focusing on developing new algorithms, optimizing code for supercomputers, or applying computational methods to scientific challenges. HPC Postdocs collaborate with interdisciplinary teams and may also provide support or training in HPC techniques for other researchers. Their work is essential for pushing the boundaries of science in fields such as physics, climate modeling, computational biology, and engineering.

What are the key skills and qualifications needed to thrive as an HPC Postdoc, and why are they important?

To thrive as an HPC Postdoc, you need advanced knowledge in computational science, parallel programming, and a relevant doctoral degree, often in fields like physics, computer science, or engineering. Expertise in programming languages (such as C/C++, Fortran, Python), experience with high-performance computing systems, and familiarity with tools like MPI, OpenMP, or GPU computing frameworks are typically required. Strong analytical thinking, problem-solving, and collaboration skills set outstanding candidates apart in research environments. These competencies are crucial for conducting cutting-edge research, optimizing complex simulations, and advancing scientific discovery using supercomputing resources.

What are some common challenges faced by an HPC Postdoc when optimizing scientific applications for supercomputing environments?

HPC Postdocs often encounter the challenge of adapting complex scientific codes to efficiently utilize advanced supercomputing architectures. This may involve addressing issues such as parallel scalability, memory bottlenecks, and compatibility with different hardware or software environments. Collaborating closely with domain scientists, software engineers, and IT staff is essential to troubleshoot performance issues and implement effective solutions. Staying up-to-date with emerging HPC technologies and optimization techniques is also crucial for success in this role.
What are popular job titles related to Hpc Postdoc jobs in California? For Hpc Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Hpc Postdoc jobs in California look for? The top searched job categories for Hpc Postdoc jobs in California are:
What cities in California are hiring for Hpc Postdoc jobs? Cities in California with the most Hpc Postdoc job openings:
Hpc Postdoc jobs near you
Infographic showing various Hpc Postdoc job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior HPC Storage Engineer

The Regents of the University of California on behalf of their Los Angeles Campus

Los Angeles, CA • On-site

$277K/yr

Full-time

Posted 5 days ago

Job description

Special Instructions to Applicants
This position will consider both hybrid and fully remote candidates. On-site presence may be required as needed based on operational, maintenance, or project requirements. Participation in an on-call rotation for emergency hardware and software support is required. Occasional evenings and weekends may be required to support maintenance windows or respond to incidents. Required to accommodate scheduled based on Pacific Standard Time.
Department Summary
Advanced Research Computing melds expert staff and technical infrastructure to amplify and accelerate the impact of UCLA research in the age of networked data and computation. OARC's expertise and resources are available to all UCLA researchers engaged in digital research and scholarship. We work with faculty, student, and postdoctoral researchers; instructors; and staff and administrators.
OARC is a relationship-building organization. We enable digital scholarship through collaborations, partnerships, and networked communities to advance cutting-edge research capabilities at UCLA and beyond. OARC supports and enhances the university mission of education, research, and service through the development and execution of innovative and sustainable technology practices, programs, services, infrastructure, policies, and partnerships.
Position Summary
Join UCLA's Office of Advanced Research Computing (OARC) and help build the research data infrastructure that powers scientific discovery at UCLA and across a national network of high-performance computing centers. We are seeking a Senior HPC Storage Engineer to lead the design, deployment, and operation of large-scale storage systems supporting data-intensive research, AI/ML, interactive computing, and multi-institutional collaborations.
This senior technical role combines architecture with hands-on engineering. You will evaluate emerging storage technologies, lead deployment of petabyte-scale storage platforms, optimize performance, and develop secure, reliable storage services spanning campus, cloud, and federated HPC environments. As part of UCLA's NSF-supported iDLab initiative, you will help build a national-scale research data infrastructure that enables seamless access to data across geographically distributed computing resources.
At OARC, you will work alongside leading researchers, engineers, and partner institutions while influencing the long-term direction of research cyberinfrastructure at UCLA. This is an opportunity to solve challenging technical problems, work with advanced storage technologies, and make a lasting impact on research computing at both the campus and national levels.
Salary & Compensation
*UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits.
Qualifications
  • 7 years or more Experience in research, enterprise, or hyperscale storage environments with responsibility for large-scale production storage services. (Required)
  • Large scale storage Experience with petabyte-scale storage, federated storage, multi-site research infrastructure, or HPC/cloud-integrated storage services. (Preferred)
  • 1. Advanced knowledge of high-performance computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required)
  • 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage architectures, including performance characteristics, consistency models, caching strategies, and operational tradeoffs. (Required)
  • 3. Hands-on experience architecting, deploying, operating, or substantially supporting one or more large-scale storage platforms such as Lustre, VAST Data, GPFS/Spectrum Scale, Ceph, BeeGFS, WekaFS, or MinIO. Experience with multiple platforms and petabyte-scale deployments is preferred. (Required)
  • 4. Demonstrated experience operating large-scale production storage systems, including monitoring, capacity planning, lifecycle management, upgrades, performance tuning, incident response, backup, replication, and disaster recovery. (Required)
  • 5. Advanced Linux systems administration skills, including kernel-level troubleshooting, performance profiling, storage hardware diagnostics, and tuning across InfiniBand, RoCE, and Ethernet fabrics. (Required)
  • 6. Demonstrated experience diagnosing storage performance problems across Linux clients, metadata services, storage servers, object services, network fabrics, protocol layers, and application I/O patterns. (Required)
  • 7. Proficiency in scripting and automation using Bash, Python, or similar languages; familiarity with configuration management tools such as Ansible and version control such as Git. (Required)
  • 8. Experience integrating storage systems with local, campus-wide, and federated identity providers such as Active Directory, LDAP, CILogon, OIDC, SAML, or Globus Auth. (Required)
  • 9. Demonstrated ability to design and execute storage benchmarks, validate vendor claims, characterize representative scientific workloads, and document results for engineering and executive audiences. (Required)
  • 10. Demonstrated ability to design, operate, or support shared research storage services, including allocation models, user-facing service delivery, large-scale data movement, and escalation support for complex research workflows. (Preferred)
  • 11. Demonstrated ability to communicate complex technical information clearly to technical staff, researchers, leadership, vendors, and external research and education audiences. (Required)
  • 12. Demonstrated ability to work independently and collaboratively, manage competing priorities, lead technical working groups, and sustain production service quality while delivering multi-month projects. (Required)

    • Education, Licenses, Certifications & Personal Affiliations
  • Bachelor's Degree Bachelor's degree in Computer Science, Computational Science, Data Science, Engineering, or a related field; or equivalent combination of education and experience. (Required)
  • Master's Degree Master's in Computer Science, Computational Science, Data Science, Engineering, or a related field; or equivalent advanced professional experience. (Preferred) Or
  • PhD PhD in Computer Science, Computational Science, Data Science, Engineering, or a related field; or equivalent advanced professional experience. (Preferred)

    • Special Conditions for Employment
  • Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.
  • Live Scan Background Check: A Live Scan background check must be completed prior to the start of employment.
  • This position will consider both hybrid and fully remote candidates. On-site presence may be required as needed based on operational, maintenance, or project requirements. Participation in an on-call rotation for emergency hardware and software support is required. Occasional evenings and weekends may be required to support maintenance windows or respond to incidents. (Required)

    • Schedule
    8:00 a.m. to 5:00 p.m
    Union/Policy Covered
    RP-Research and Public Service PR
    Complete Position Description
    https://universityofcalifornia.marketpayjobs.com/ShowJob.aspx?EntityID=38&JDName=Computational%20and%20Data%20Science%20Research%20Specialist%204%20RP%20(TBD_1000126)

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