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Supercomputer Jobs (NOW HIRING)

Etched

Head of Supercomputing

San Jose, CA · On-site

$2K/mo

We are seeking a Head of Supercomputing to define and lead the architecture, software stack, and operational model for Etched's cluster-scale AI compute systems. This leader will own the end-to-end ...

Etched

Head of Supercomputing

San Jose, CA · On-site

$2K/mo

We are seeking a Head of Supercomputing to define and lead the architecture, software stack, and operational model for Etched's cluster-scale AI compute systems. This leader will own the end-to-end ...

Etched

Supercomputing Intern

San Jose, CA · On-site

Job Summary Our supercomputing role focuses on the design, development, and deployment of ML system software required for operating rack-scale systems. Your work will span network performance ...

Tesla

Sr. Software Engineer, Supercomputing

Austin, TX · On-site

$121.40K - $160.10K/yr

Tesla is at the forefront of innovation in AI and Supercomputing, and they are seeking a highly skilled Software Engineer to join their Supercomputing team. The role involves designing, developing ...

Etched

Supercomputing Engineer

San Jose, CA · On-site

$200K - $275K/yr

We are seeking a highly skilled and motivated Engineer to join our Supercomputing team to help build the foundational software that powers our cluster-scale AI compute deployments. This role on the ...

Etched

Supercomputing Intern

San Jose, CA · On-site

Job Summary Our supercomputing role focuses on the design, development, and deployment of ML system software required for operating rack-scale systems. Your work will span network performance ...

Etched

Supercomputing Engineer

San Jose, CA · On-site

$200K - $275K/yr

We are seeking a highly skilled and motivated Engineer to join our Supercomputing team to help build the foundational software that powers our cluster-scale AI compute deployments. This role on the ...

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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 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.
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Supercomputer jobs near you
Infographic showing various Supercomputer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 98% Full Time, and 1% Temporary. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Head of Supercomputing

Etched

San Jose, CA • On-site

$2K/mo

Full-time

Medical, Dental, Vision

Posted 13 days ago

Job description

About Etched
Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. 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
Etched is building at-scale AI inference supercomputers powered by our custom ASICs, and the Supercomputing organization is responsible for making them real, deployable, and reliable.
We are seeking a Head of Supercomputing to define and lead the architecture, software stack, and operational model for Etched's cluster-scale AI compute systems. This leader will own the end-to-end system software and control-plane strategy - spanning orchestration, telemetry, provisioning, networking, and fleet reliability - from first silicon through production deployment.
This role combines deep systems expertise with strong organizational leadership. You will build and lead a world-class team, partnering closely with ASIC, hardware, kernel, runtime, and infrastructure teams to deliver the highest-performance AI inference systems in the world.
Key Responsibilities
  • Define and drive the technical vision and roadmap for Etched's Supercomputing software stack, from node bring-up to multi-rack clusters
  • Build, scale, and lead a high-performance Supercomputing organization
  • Directly manage and develop 15+ engineers with a variety of experience levels
  • Architect and own low-level control-plane software for system bring-up, provisioning, networking, configuration, and fleet management
  • Define orchestration primitives for managing devices, nodes, racks, and full cluster deployments
  • Oversee development of system services that interface directly with firmware, drivers, kernel subsystems, and runtime layers
  • Establish system telemetry and observability infrastructure for customers
  • Own the system software lifecycle from first silicon bring-up through stable production releases
  • Collaborate with manufacturing and test engineering to integrate diagnostics and system software into factory environments
  • Define reliability targets, operational metrics, and release processes for production deployments
  • Recruit, mentor, and retain exceptional systems engineers and engineering leaders
  • Act as a senior technical voice shaping company-wide infrastructure decisions

Must-Have Skills and Experience
  • 15+ years of experience in system software, infrastructure, or large-scale compute systems, including 5+ years leading engineering teams
  • Strong understanding of hardware/software interfaces such as PCIe, RDMA, memory hierarchies, interrupts, and device drivers
  • Experience building or operating cluster-scale systems (HPC, AI infrastructure, hyperscale compute, or custom accelerators)
  • Proven track record of delivering complex systems from early bring-up through production
  • Strong debugging skills across hardware-software interactions
  • Excellent leadership, communication, and cross-functional collaboration skills

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 think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
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 as needed.

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