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High Performance Computing Hpc Jobs in California

Nvidia

Senior CPU Performance Architect

Santa Clara, CA · On-site

$196K/yr

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers ...

asrcfh

Computer Operator, Linux

Mountain View, CA · On-site

$24.04/hr

This role is ideal for entry-level candidates looking to grow their careers in High Performance Computing (HPC), Linux systems, and technical operations within a mission-critical environment.

asrcfh

Computer Operator, Linux

Mountain View, CA · On-site

$24.04/hr

This role is ideal for entry-level candidates looking to grow their careers in High Performance Computing (HPC), Linux systems, and technical operations within a mission-critical environment.

Zealogics.com

HPC engineer

San Jose, CA · On-site

Candidates should have good domain knowledge in High-Performance Computing, script language(Shell ... HPC Rack, Build, cable, configure, and provision Linux kernel, windows server. * HPC Operating ...

US Tech Solutions

Project Manager

San Diego, CA

... and High Performance Computing (HPC). PMI PMP Certification or equivalent experience in IT project management. Certified Scrum Master - Proven experience with Agile project. Bachelor's degree or ...

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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 11, 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 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 July 2026, with employment types broken down into 2% Internship, 87% Full Time, 2% Part Time, 7% Contract, and 2% Nights. Highlights an 98% In-person, and 2% Hybrid job distribution, with an average salary of $67,355 per year, or $32.4 per hour.
Senior CPU Performance Architect

Senior CPU Performance Architect

Nvidia Corporation

Santa Clara, CA • On-site

$196K/yr

Full-time

Re-posted yesterday

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team and help us push performance boundaries for all our CPU products!
What you'll be doing:
  • Study workloads for a wide range of markets, including CSP, HPC, AI / DL, and autonomous vehicles.
  • Develop infrastructure to visualize CPU performance bottlenecks on important workloads.
  • Develop performance analysis tools.
  • Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.
  • Work with CPU architects to improve future CPU and system designs based on your findings.

What we need to see:
  • BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
  • Experience with data visualization techniques and Python programming.
  • Familiarity with compiler concepts.
  • Understanding of modern web development technologies (JavaScript, D3, and Django) and modern software development methodologies (CI/CD).
  • 12+ years of relevant experience.
  • Experience with CPU workloads and performance analysis.
  • Knowledge of CPU microarchitecture.

Ways to stand out from the crowd:
  • PhD or research experience
  • Experience with performance programming and software optimization.
  • Knowledge of GPU-accelerated workloads.
  • Experience with Kubernetes, enterprise security protocols, and SQLite.

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research.
With the introduction of the Grace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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