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Supercomputer Jobs in California (NOW HIRING)

The team is responsible for developing high performance communication frameworks and applications running in production on the world's largest supercomputers and datacenters. The work environment is ...

Corporate IT Engineer

San Francisco, CA · On-site

$140K - $185K/yr

Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure - one of the fastest private supercomputers in the world. About the Role We're looking for someone to own ...

Senior Software Engineer, AI Resiliency

Santa Clara, CA · On-site

$143K - $189K/yr

We are currently seeking a Senior Software Engineer to lead the development of AI software resiliency for the most powerful AI supercomputers in the world. As a member of our AI Software Resiliency ...

ABOUT LUMILENS At Lumilens we are building the critical photonics infrastructure that powers tomorrow's AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines ...

Have significant software engineering or machine learning experience, particularly at supercomputing scale * Are results-oriented, with a bias towards flexibility and impact * Pick up slack, even if ...

Showing results 41-60

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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:
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.

Software Engineer - Kernels/CUDA (C++)

SpaceXAI

Palo Alto, CA

$180K - $440K/yr

Full-time

Re-posted 22 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies


Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

We are building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack — from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization — to make training and inference at SpaceXAI as fast, reliable, and scalable as possible.

This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate Grok's training speed and overall AI progress.

RESPONSIBILITIES:

  • Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads
  • Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance
  • Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operation
  • Collaborate closely with AI research teams to deliver production-grade performance and scalability
PREFERRED SKILLS AND EXPERIENCE:
  • Deep low-level systems programming (C/C++/PTX/SASS)
  • Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale
  • Hands-on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling)
  • Track record of building or running high-performance infrastructure for AI workloads (training or inference platforms)
  • Ability to reason from first principles and optimize for both memory-bound and compute-bound scenarios
COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US