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Supercomputer Jobs in California (NOW HIRING)

asrcfh

Computer Operator, Linux

Mountain View, CA · On-site

$24.04/hr

ASRC Federal InuTeq is seeking an on-site Control Room Analyst in Mountainview, CA to support the NASA Advanced Supercomputing (NAS) facility, home to some of the world's fastest supercomputers ...

asrcfh

Computer Operator, Linux

Mountain View, CA · On-site

$24.04/hr

ASRC Federal InuTeq is seeking an on-site Control Room Analyst in Mountainview, CA to support the NASA Advanced Supercomputing (NAS) facility, home to some of the world's fastest supercomputers ...

Etched

Supercomputing Engineer (Network)

San Jose, CA · On-site

$150K - $275K/yr

Job Summary We are seeking highly motivated and skilled Supercomputing Engineers (Network) to join our team. This team plays a critical role in developing, qualifying, and optimizing high-performance ...

Etched

Technical Recruiter (Supercomputing/ML)

San Jose, CA · On-site

$100K - $220K/yr

Job Summary As we scale, we're looking for a Technical Recruiter (Supercomputing/ML) to build and own some of the most high-leverage, relationship-driven parts of our recruiting function. This role ...

Etched

Supercomputing Engineer (Test)

San Jose, CA · On-site

$150K - $275K/yr

Job Summary We are seeking highly motivated and detail-oriented Supercomputing Engineer (Test) to join our team. This team plays a critical role in ensuring the reliability and stability of our ...

Alembic

Patent Counsel

San Francisco, CA · On-site

$175K - $200K/yr

The technical demands were so extreme we literally melted GPUs building this, which is why we're now operating one of the world's fastest private supercomputers. Backed by $145M from Prysm Capital ...

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How much do supercomputer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for supercomputer in California is $25.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.83 and $30.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Supercomputer position, and why are they important?

To thrive as a Supercomputer Engineer, you need expertise in high-performance computing (HPC), computer architecture, parallel programming, and advanced mathematics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as MPI, OpenMP, Linux systems, and certifications like Certified HPC Professional can be critical. Strong problem-solving abilities, collaboration, and communication skills set exceptional candidates apart in multidisciplinary environments. These competencies are essential for building, optimizing, and managing supercomputing resources that drive scientific discovery and innovation.

What are the typical responsibilities of a Supercomputer Engineer on a daily basis?

Supercomputer Engineers are responsible for designing, configuring, and maintaining high-performance computing systems to support complex computations in fields such as scientific research, weather modeling, and data analytics. On a daily basis, they might monitor system performance, troubleshoot hardware or software issues, optimize code for scalability, and collaborate closely with researchers and IT professionals to ensure workloads run efficiently. Additionally, they often assist in upgrading systems and implementing the latest technologies to maximize computational power. Working in this role offers opportunities for ongoing professional development and cross-functional teamwork, making each day both challenging and rewarding.

What is a Supercomputer job?

A Supercomputer job typically involves working with high-performance computing (HPC) systems to process complex calculations at extremely high speeds. Professionals in this field may develop software, optimize system performance, manage hardware infrastructure, or support scientific and engineering research. These roles are common in fields such as climate modeling, artificial intelligence, biomedical research, and financial simulations.

What are the most commonly searched types of Supercomputer jobs in California? The most popular types of Supercomputer jobs in California are:
What are popular job titles related to Supercomputer jobs in California? For Supercomputer jobs in California, the most frequently searched job titles are:
What job categories do people searching Supercomputer jobs in California look for? The top searched job categories for Supercomputer jobs in California are:
Supercomputer jobs near you
Infographic showing various Supercomputer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.
Senior Datacenter Technical Program Manager, At-Scale AI Clusters

Senior Datacenter Technical Program Manager, At-Scale AI Clusters

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 11 days ago

Job description

NVIDIA is looking for a highly-motivated Technical Program Manager (TPM) to join our Applied Systems Engineering Team to drive datacenter integration for the next generation of NVIDIA AI supercomputing systems. This TPM will play a crucial role throughout the lifecycle of the latest AI systems at scale, from datacenter design and requirements definition, through systems integration of AI clusters into the datacenter environment, and support for these systems as they enter production.
This role will drive collaboration between engineering leaders across multiple hardware and software teams, helping us work together to build AI supercomputers for NVIDIA engineers and develop reference architectures to advise customers and partners.
What you'll be doing:
  • Collaborate with outstanding engineers and architects to build and deploy large scale GPU computing systems based on NVIDIA's reference supercomputing architectures
  • Lead the integration of new AI clusters with datacenter facilities with demanding requirements on power, cooling, and instrumentation
  • Coordinate design and fit-out of new datacenter builds, working with both internal engineering teams and external contractors
  • Own and produce detailed documentation for the end-to-end process for datacenter fit-out and integration
  • Communicate internally with engineering leadership to prioritize and address key issues essential to the success of our largest customers

What we need to see:
  • BS in Applied Science or Engineering (or equivalent experience)
  • 8+ years of overall experience
  • Experience with high-performance computing systems and GPU clusters deployed in on-premises datacenters
  • A passion for understanding challenging technical problems and driving the process of finding a solution
  • Strong teamwork and interpersonal skills, to facilitate building a collaborative workflow for coordination between many teams

Ways to stand out from the crowd:
  • Understanding of datacenter design, including familiarity with power and cooling technologies
  • Expertise in system monitoring and instrumentation of large clusters, using technologies such as Prometheus, Grafana, Splunk, Modbus, and BACNet
  • Experience working with the engineering or academic research community supporting high-performance computing or deep learning

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 12, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
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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