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High Performance Computing Jobs in Santa Clara, CA

CoreWeave

GPU Performance Engineer

Sunnyvale, CA · On-site

CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA ...

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High Performance Computing information

See Santa Clara, CA salary details

$47K

$116.9K

$180.3K

How much do high performance computing jobs pay per year?

As of Aug 7, 2026, the average yearly pay for high performance computing in Santa Clara, CA is $116,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $148,000.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale computations across industries such as research, finance, and engineering. HPC specialists are in demand for skills in parallel programming, cluster management, and optimizing computational workflows to handle growing data and performance needs.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, large-scale data analysis, and scientific research that require high processing speeds and large memory capacities. HPC jobs often involve working with specialized hardware, software, and programming skills such as MPI or CUDA.
What are the most commonly searched types of High Performance Computing jobs in Santa Clara, CA? The most popular types of High Performance Computing jobs in Santa Clara, CA are:
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High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $116,889 per year, or $56.2 per hour.

Java Developer - High Performance Computing

IT America Inc

San Jose, CA • On-site

$59.75 - $77.25/hr

Contractor

Re-posted 8 days ago

Job description

Position: Java Developer – High Performance Computing

Location: San Jose, CA (Hybrid)

Duration: W2 Contract

Job Description:

We are looking for a highly skilled Java Developer with strong experience in High Performance Computing (HPC) and Spring Boot to join our team in a hybrid role based in San Jose, CA. The ideal candidate will be passionate about building high-throughput, low-latency systems and developing robust backend services using modern Java frameworks.

Key Responsibilities:

  • Design, develop, and maintain scalable Java applications with a focus on performance and efficiency.
  • Build microservices and backend systems using Spring Boot.
  • Collaborate with cross-functional teams to solve complex computational problems.
  • Optimize applications for speed and scalability across distributed systems.
  • Conduct unit testing and participate in peer code reviews.

Required Skills:

  • Strong proficiency in Java with hands-on experience in real-time or high-performance systems.
  • Solid experience in High Performance Computing (HPC) environments or applications.
  • Expertise in Spring Boot for developing RESTful APIs and microservices.
  • Good understanding of concurrency, multithreading, and performance tuning.
  • Ability to write clean, efficient, and maintainable code.

Preferred Qualifications:

  • Experience with cloud environments (e.g., AWS, Azure, or GCP).
  • Familiarity with CI/CD pipelines and DevOps tools.
  • Exposure to containerization (Docker) and orchestration tools (Kubernetes).