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High Performance Computing Hpc Jobs in California

Staff Engineer, Infrastructure Platforms

Menlo Park, CA ยท Hybrid

$126K - $166K/yr

Support enterprise storage, virtualization, networking, and High Performance Computing (HPC) platforms supporting research and enterprise workloads. * Serve as the senior technical escalation point ...

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High Performance Computing Hpc information

See California salary details

$32.1K

$67.4K

$110.5K

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

As of Jul 31, 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 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 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:
Infographic showing various High Performance Computing Hpc job openings in California as of July 2026, with employment types broken down into 2% Locum Tenens, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $67,355 per year, or $32.4 per hour.

High Performance Computing (HPC) - Software Engineer

KLA Corporation

Milpitas, CA โ€ข On-site

$94K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
Enabling the movement toward advanced chip design, KLA's Measurement, Analytics and Control group (MACH) is looking for the best and brightest research scientists, software engineers, application development engineers and senior product technology process engineers to join our team. The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations-at their source-rather than compensate for them at later stages of the manufacturing process. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Our MACH team develops leading-edge solutions for patterning process analytics and control technologies, thereby providing customers with critical insight at the feature level, field level and cross-wafer analysis. Our teams also develop advanced modeling simulation, data analytics and process control modeling technologies. As a member of the MACH team, you'll be joining the most sophisticated and successful process-control company in the semiconductor industry--working across functions to solve the most complex technical problems in the digital age.
Job Description/Preferred Qualifications
Position Summary
Develop, deploy, and support software infrastructure for High-Performance Computing (HPC) systems used for semiconductor data processing, computational lithography, AI workloads, and distributed compute platforms. Work with Linux-based clusters, schedulers, storage systems, networking fabrics, virtualization platforms, and automation frameworks to improve reliability, scalability, and performance.
Responsibilities
  • Develop and maintain Python, Bash, and system automation tools.
  • Support Linux-based HPC clusters (RHEL, Rocky, AlmaLinux, Ubuntu).
  • Assist with deployment and maintenance of compute nodes, storage, and networking infrastructure.
  • Configure and troubleshoot schedulers such as SGE, SLURM, or equivalent.
  • Develop tooling for cluster monitoring, provisioning, and software deployment.
  • Collaborate with software, algorithm, systems, manufacturing, and field teams.
  • Debug performance, scalability, and reliability issues across distributed systems.
  • Participate in code reviews, CI/CD, testing, and release activities.
  • Create operational runbooks, deployment procedures, and technical documentation.
  • Support customer and manufacturing escalations.

Preferred Qualifications
  • HPC cluster experience.
  • SGE, SLURM, Kubernetes, or container technologies.
  • GPU computing (CUDA/NVIDIA ecosystem).
  • Configuration management (Ansible, Puppet, Chef, Salt).
  • CI/CD frameworks and DevOps workflows.
  • Storage technologies including NFS, NAS, RAID, and parallel file systems.
  • Independently implement features and fixes.
  • Own small-to-medium technical projects.
  • Troubleshoot and resolve operational issues.
  • Contribute to architecture discussions.

Minimum Qualifications
Bachelor's Level Degree and 0-2 years related work experience
  • BS/MS in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • 2+ years of software development or systems engineering experience.
  • Strong Linux fundamentals.
  • Experience with Python and Shell scripting.
  • Experience with Git and modern software development practices.
  • Understanding of TCP/IP networking, DNS, DHCP, NFS, and system services.
  • Familiarity with virtualization technologies such as VMware, Proxmox, or KVM.

Base Pay Range: $94,600.00 - $160,800.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.