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Supercomputer Jobs in California (NOW HIRING)

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

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 ...

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 ...

NE-NERSC

HPC/AI Performance Specialist

Bodega Bay, CA · On-site

NERSC provides world-class supercomputing, high performance, scalable data systems and services to 10,000 users across a wide range of scientific disciplines. NERSC's science impact is acknowledged ...

OpenAI

Software Engineer, Hardware

San Francisco, CA · On-site

$225K - $455K/yr

By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI's supercomputing platform. About the Role As a ...

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Supercomputer information

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How much do supercomputer jobs pay per hour?

As of Aug 13, 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?

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 August 2026, with employment types broken down into 2% Internship, 92% Full Time, 4% Part Time, and 2% Temporary. Highlights an 83% Physical, 9% Hybrid, and 8% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.

Senior GPU Supercomputer Scheduler Engineer

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Research Superclusters (MARS), builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you'll help design solutions that power some of the world's most advanced computing workloads.

As a member of the Scheduling team, you will participate in the design and implementation of groundbreaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek engineers with deep technical expertise to identify architectural directions and new approaches for AI workload scheduling to serve many simultaneous and large multi-node GPU workloads with complex requirements and dependencies. This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in machine learning, cloud computing, and system co-design.

What you'll be doing:

  • Design and develop new scheduling features and add-on services to improve GPU compute clusters across many dimensions, such as resource usage fairness, GPU occupancy, GPU waste, application resilience, application performance and power usage.

  • Design and develop batch workload management and orchestration services

  • Provide support to staff and end users to resolve batch scheduler issues

  • Build and improve our ecosystem around GPU-accelerated computing

  • Performance analysis and optimizations of deep learning workflows

  • Develop large scale automation solutions

  • Root cause analysis and suggest corrective action for problems large and small scales

  • Finding and fixing problems before they occur

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience

  • 5+ years of work experience

  • Strong understanding of batch scheduling, preferably with experience in schedulers such as SLURM or K8s batch schedulers (Kueue, Volcano, etc.)

  • Significant experience in systems programming languages such as C/C++ & Go as well as scripting languages such as Python and bash

  • Established experience in Linux operating system, environment and tools

  • Experience analyzing and tuning performance for a variety of AI workloads

  • In-depth understating of container technologies like Docker, Singularity, Podman

  • Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements

  • Excellent communication, interpersonal and customer collaboration skills

Ways to stand out from the crowd:

  • Knowledge in High-performance computing

  • Open Source Software Contribution

  • Experience with deep learning frameworks like PyTorch and TensorFlow

  • Passionate about SW development processes

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 24, 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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