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High Performance Computing Hpc Jobs in California

Neura Market

Senior HPC Systems Architect

San Jose, CA · On-site

We're looking for a Senior HPC Systems Architect with extensive experience designing, developing, and testing large-scale high-performance computing (HPC) infrastructures. This strategic role focuses ...

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High Performance Computing Hpc information

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$32.1K

$67.4K

$110.5K

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

As of Sep 13, 2026, the average yearly pay for high performance computing hpc in California is $67,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $81,900.00 per year, depending on experience, location, and employer.

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?

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 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 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 popular job titles related to High Performance Computing Hpc jobs in California?

For High Performance Computing Hpc jobs in California, the most frequently searched job titles are:

What job categories do people searching High Performance Computing Hpc jobs in California look for?

The top searched job categories for High Performance Computing Hpc jobs in California are:

What cities in California are hiring for High Performance Computing Hpc jobs?

Cities in California with the most High Performance Computing Hpc job openings:

High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in California as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,355 per year, or $32.4 per hour.

Sr. HPC Cloud Developer Lead

Mountain View, CA • Hybrid

RedLine Performance Solutions
11 - 50 employees
Learn more about RedLine Performance Solutionsexternal

$66.25 - $90.75/hr

Full-time

Medical, Retirement, PTO

Re-posted 3 days ago

Job description

RedLine Performance Solutions (RedLine) has been in the HPC solutions engineering services business for over 25 years and is consistently determined to keep the "bar of excellence" quite high for new hires. This enables RedLine to accomplish what other firms cannot and promotes a high level of staff retention. We offer services ranging from full life cycle HPC systems engineering to remote managed services to HPC program analysis. We are located in the Washington, DC area and are looking for the right candidate to join as a AWS Cloud Subject Matter Expert (SME).


We are seeking a AWS Cloud SME to support a cloud contract supporting the National Environmental Satellite, Data, and Information Service (NESDIS), a Line Office under NOAA. Working with Customers, from C-Level executives to technology leaders, there are opportunities to leverage and grow your expertise in HPC workflows optimization and HPC systems architectures on AWS. The AWS Cloud SME will provide expertise with the integration of scientific algorithms in a cloud-based high performance computing (HPC) environment.


The successful candidate will be an active leader of the HPC Cloud Team charged with working with our NASA customer’s requirements to architect an HPC cloud solution for the Supercomputing Division.  Additionally, this candidate will work directly with a small team of ~4 cloud resources to standup and support the newly designed HPC Cloud service.


This position will report directly to the Manager of the Application Performance and Productivity (APP) group and will work to design and deliver hybrid cloud solutions with a focus on high performance computing (HPC) and scientific data processing. The position responsibilities include partnering with engineering and development teams and will co-lead, with a government counterpart, in the design of hybrid cloud solutions that enable rapid adoption of new cloud services, intelligent workload distribution while leveraging existing on-prem HPC infrastructure.


US Citizenship is a mandatory requirement, as is the willingness and ability to obtain a U.S. Government security clearance.   This full-time, direct hire position offers a full benefits package including paid time off, 401k match, short and long term disability coverage and PPO health care benefits.  


This position requires someone local to the Mountain View, CA area as they will be required to work 2-3 days a week onsite at the NASA Ames facility.


Duties and Responsibilities:


  • Design and lead the architectural initiative for the NASA HPC Cloud solution
  • Build and manage a small cloud team of ~4 resources to develop and sustain the cloud solution
  • Work with a government counterpart to define cloud architectures for both hybrid and non-hybrid cloud solutions.
  • Communicate architectures and solutions using standard industry modeling and diagramming and best practice.
  • Work with a government counterpart to ensure that all hybrid and non-hybrid cloud solutions follow all security and compliance controls.
  • Plan and achieve project objectives; technically guide projects through completion and ensure all project objectives are met within target time frames.
  • Partner with development and operations teams to develop automation solutions for deployment, monitoring and securing of cloud infrastructure.
  • Advise on tooling for DevOps and provide practical guidance to improve efficiency and consistency for any solution development and deployment.


Requirements:


  • Bachelor’s degree (or equivalent experience), in Computer Science engineering, or related field
  • 10 years in-depth hands-on work experience with large-scale AWS cloud solutions
  • 5 years of HPC specific architecture consulting experience
  • Strong ability to interact with customers to understand needs, elicit requirements, and get feedback on prototype solutions
  • Experience with continuous integration & continuous deployment tools, processes and basic agile methodologies
  • Knowledge of networking, firewalls, etc.
  • Experience with how to navigate complex government security and compliance controls within a large organizational setting
  • Experience with cloud services cost modeling for a given architected solution
  • Strong analytical skills with the ability to learn new information quickly
  • Good organization skills to balance and prioritize work, and ability to multitask
  • Ability to work in a hybrid remote/onsite team environment
  • Excellent communication and people skills, time management, and organizational skills


Preferred Skills


  • Master’s degree (or equivalent experience) in computer science, science, engineering, or related field
  • 5+ years of overall experience off enterprise, full-life cycle in software/cloud architecture and IT and/or software development.
  • Proficiency with containers runtimes (Docker, Singularity, Charlie Cloud)
  • Proficiency with PBS or Slurm
  • Proficiency with git, Jira, confluence
  • Proficiency with configuration management tools such as Ansible, Chef, or Puppet
  • Familiarity with scientific and parallel computing, machine learning
  • Hands-on experience with DevOps and release management tools
  • Familiarity with object store (S3) and POSIXs file systems such as Lustre, and any potential integration of the two, e.g., S3 backed Luster (AWS FSx).



To learn more about RedLine please visit our website at www.redlineperf.com

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