San Jose, CA · On-site
$2.0K/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 ...
Quick apply
San Jose, CA · On-site
$2.0K/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 ...
San Jose, CA · On-site
$260 - $520/hr
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 ...
San Jose, CA · On-site
$260 - $520/hr
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 ...
San Jose, CA · On-site
$2.0K/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 ...
San Jose, CA · On-site
$2.0K/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 ...
Annapolis Junction, MD · On-site
$117K - $140K/yr
Supercomputing Data Processing Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a highly ...
Annapolis Junction, MD · On-site
$117K - $140K/yr
Supercomputing Data Processing Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a highly ...
Santa Clara, CA · On-site
$143K - $189K/yr
The Senior GPU Supercomputer Scheduler Engineer will design and implement GPU compute clusters to support demanding workloads and improve scheduling features for AI and ML systems. Responsibilities ...
Santa Clara, CA · On-site
$143K - $189K/yr
The Senior GPU Supercomputer Scheduler Engineer will design and implement GPU compute clusters to support demanding workloads and improve scheduling features for AI and ML systems. Responsibilities ...
As a member of the TPU Machine Learning Supercomputer (MLSC) team, you will design and develop features to significantly improve the scalability and reliability of large-scale software across TPUs ...
As a member of the TPU Machine Learning Supercomputer (MLSC) team, you will design and develop features to significantly improve the scalability and reliability of large-scale software across TPUs ...
Internship Description Building on the ALCF's robust training program in the areas of AI and supercomputing, we are hosting a series of hands-on courses that will teach attendees to use leading-edge ...
Internship Description Building on the ALCF's robust training program in the areas of AI and supercomputing, we are hosting a series of hands-on courses that will teach attendees to use leading-edge ...
Internship Description Building on the ALCF's robust training program in the areas of AI and supercomputing, we are hosting a series of hands-on courses that will teach attendees to use leading-edge ...
Internship Description Building on the ALCF's robust training program in the areas of AI and supercomputing, we are hosting a series of hands-on courses that will teach attendees to use leading-edge ...
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 ...
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 ...
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 ...
Quick apply
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 ...
HPC & Supercomputer Architecture: Design, maintain, and optimize massive Linux clusters (tens of thousands of CPU cores), state-of-the-art GPU clusters (hundreds of GPUs), and custom, massively ...
New
HPC & Supercomputer Architecture: Design, maintain, and optimize massive Linux clusters (tens of thousands of CPU cores), state-of-the-art GPU clusters (hundreds of GPUs), and custom, massively ...
New
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 ...
Quick apply
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 ...
About the Role RadixArk is hiring aMember of Technical Staff - Supercomputing to help build, deploy, and operate production-grade AI infrastructure for frontier-scale inference and training workloads.
About the Role RadixArk is hiring aMember of Technical Staff - Supercomputing to help build, deploy, and operate production-grade AI infrastructure for frontier-scale inference and training workloads.
About the Role RadixArk is hiring a Member of Technical Staff - Supercomputing to help build, deploy, and operate production-grade AI infrastructure for frontier-scale inference and training ...
About the Role RadixArk is hiring a Member of Technical Staff - Supercomputing to help build, deploy, and operate production-grade AI infrastructure for frontier-scale inference and training ...
RadixArk is an infrastructure-first AI company seeking a Member of Technical Staff -- Supercomputing to build, deploy, and operate production-grade AI infrastructure. The role involves working on ...
RadixArk is an infrastructure-first AI company seeking a Member of Technical Staff -- Supercomputing to build, deploy, and operate production-grade AI infrastructure. The role involves working on ...
RadixArk is an infrastructure-first AI company seeking a Member of Technical Staff -- Supercomputing to build and operate production-grade AI infrastructure. The role involves deploying and managing ...
RadixArk is an infrastructure-first AI company seeking a Member of Technical Staff -- Supercomputing to build and operate production-grade AI infrastructure. The role involves deploying and managing ...
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 ...
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 ...
San Francisco, CA · On-site +1
$200K - $550K/yr
About the role As an engineer on the Supercomputing Platform & Infrastructure team, you will design, build, and operate the large-scale GPU infrastructure that powers Magic's model training and ...
San Francisco, CA · On-site +1
$200K - $550K/yr
About the role As an engineer on the Supercomputing Platform & Infrastructure team, you will design, build, and operate the large-scale GPU infrastructure that powers Magic's model training and ...
San Francisco, CA · On-site
$295K - $445K/yr
With large-scale supercomputers consuming substantial amounts of power, managing this efficiently is key to maximizing computational capacity. This role is critical to ensuring that our cutting-edge ...
San Francisco, CA · On-site
$295K - $445K/yr
With large-scale supercomputers consuming substantial amounts of power, managing this efficiently is key to maximizing computational capacity. This role is critical to ensuring that our cutting-edge ...
About the Role As a Member of Technical Staff, AI Supercomputing at Radical Numerics, you will design, build, and operate the GPU supercomputing environment that powers our large-scale training and ...
About the Role As a Member of Technical Staff, AI Supercomputing at Radical Numerics, you will design, build, and operate the GPU supercomputing environment that powers our large-scale training and ...
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.
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.
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.
$2.0K/mo
Full-time
Medical, Dental, Vision
Re-posted 23 days ago
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
Etched is building at-scale AI inference supercomputers powered by our chips, 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 are the first inference-focused frontier AI system. 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.
