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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 ...

Invested Talent

Event Manager

San Francisco, CA · On-site

$110K - $150K/yr

A marquee stage including NVIDIA GTC, Supercomputing, and AWS re:Invent, plus partner activations with NVIDIA, Dell, and AMD * Exposure to a genuinely global, hyperscale business at a pivotal moment ...

New

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

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 ...

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 ...

Alembic

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 ...

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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.

Technical Recruiter (Supercomputing/ML)

Etched

San Jose, CA • On-site

$100K - $220K/yr

Full-time

Medical, Dental, Vision

Posted 10 days ago

Job description

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

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 is ideal for someone who thrives in fast-paced, high-talent-density environments and loves the hunt.

 

What You’ll Do

  • Own the full-cycle recruiting process, from sourcing through offer, ensuring top-of-funnel quality and fast, high-signal decision-making

  • Build strong partnerships with hiring managers and advocate for both candidates and company needs

  • Source candidates in unconventional places - e.g., GitHub repos, preprint authors on arXiv, contributors to Apache mailing lists, or insightful Twitter threads

  • Facilitate structured interview loops, track candidate performance, and lead debriefs alongside hiring managers and leadership

  • Manage offers and close processes in collaboration with hiring managers and leaders

  • Continuously improve our recruiting systems, workflows, and candidate experience

You may be a good fit if you have

  • Have 5+ years of experience recruiting non-technical talent in highly competitive markets

  • Can evaluate both technical depth and cultural fit with nuance and clarity

  • Are resourceful in finding exceptional candidates beyond the obvious platforms

  • Thrive in ambiguity and enjoy building systems from scratch

  • Care deeply about candidate experience and operational excellence

     

Strong candidates may also have experience with (Nice-to-have qualifications)

  • Familiarity with the AI, semiconductor, or hardware engineering talent landscape

  • A track record of hiring exceptional engineers in niche or emerging fields

 

Benefits

  • Medical, dental, and vision packages with generous premium coverage

    • $500 per month credit for waiving medical benefits

  • Housing subsidy of $2k per month for those living within walking distance of the office

  • Relocation support for those moving to San Jose (Santana Row)

  • Various wellness benefits covering fitness, mental health, and more

  • Daily lunch + dinner in our office

  • Unlimited compute budget subject to ROI justification

How we’re different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Compensation Range: $100K - $220K