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Manager Supercomputer Jobs (NOW HIRING)

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Head of Supercomputing

San Jose, CA · On-site

$2.0K/mo

We are seeking a Head of Supercomputing to define and lead the architecture, software stack, and ... Directly manage and develop 15+ engineers with a variety of experience levels * Architect and own ...

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Head of Supercomputing

San Jose, CA · On-site

$2.0K/mo

We are seeking a Head of Supercomputing to define and lead the architecture, software stack, and ... Directly manage and develop 15+ engineers with a variety of experience levels * Architect and own ...

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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 ... Implement orchestration primitives for managing devices, nodes, and racks * Profile and tune ...

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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 ... Implement orchestration primitives for managing devices, nodes, and racks * Profile and tune ...

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Manager Supercomputer information

What is the difference between Manager Supercomputer vs Supercomputing Systems Engineer?

AspectManager SupercomputerSupercomputing Systems Engineer
Required CredentialsBachelor's or master's in computer science, engineering, or related field; management experienceBachelor's or master's in computer science, computer engineering, or related field; technical certifications
Work EnvironmentOversees supercomputing facilities, manages teams, strategic planningDesigns, develops, and maintains supercomputing systems, works hands-on with hardware/software
Employer & Industry UsageResearch labs, government agencies, large tech companiesResearch institutions, high-performance computing centers, tech firms

The Manager Supercomputer primarily oversees supercomputing operations and manages teams, focusing on strategic and administrative tasks. In contrast, the Supercomputing Systems Engineer is more technically involved, designing and maintaining supercomputing systems. Both roles require strong technical backgrounds, but their responsibilities differ in scope and focus.

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Manager Supercomputer jobs near you
Infographic showing various Manager Supercomputer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

GCP Supercomputer Solutions Support

Echo IT Solutions

Remote

Other

Posted 18 days ago

Job description

Google Cloud Platform Supercomputer Solutions

Google is seeking a supplier to provide engineering, maintenance, and enhancement services for its Google Cloud Platform ("GCP") Supercomputer Solutions. The supplier will be responsible for supporting and enhancing two key product areas: Cluster Toolkit and HyperCompute Cluster Service (HCS). This work involves a combination of ongoing operational tasks, testing, documentation, and specific development deliverables.

Scope of Work & Deliverables

The supplier will be responsible for the services and deliverables detailed below.

Ongoing Maintenance
  • The contractor must provide ongoing maintenance and enhancements for all 6 projects covered under the original Statement of Work.
Cluster Toolkit

Cluster Toolkit is an open-source software solution that simplifies the deployment of high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) workloads on Google Cloud.

Ongoing Responsibilities:
  • Stability Testing: Test the stability of new products, beginning with A3U. This includes:
    • Building NVIDIA Collective Communications Library (NCCL) tests on a Slurm cluster.
    • Setting up and running pairwise tests to identify and report bad nodes.
  • Integration Test Triage: Perform rotational duties to manage and triage integration test failures. This includes:
    • Monitoring daily failure chats and flake tools.
    • Reporting on failures and performing advanced handling, such as creating new bug reports and categorizations.
  • Documentation: Improve, organize, and maintain the Cluster Toolkit documentation. This process involves:
    • Gathering existing documents and identifying information gaps.
    • Creating new documentation and updating existing materials.
    • Organizing the information in g3docs, consolidating it in a team Google Drive, and establishing a review process.
  • Project Cleanup: Once a week, clean up the 'hpc-toolkit-dev' project by identifying and deleting unused resources.
  • Security: Triage and address security alerts by checking for them, creating PageRanks (PRs) to resolve them, and applying the necessary updates.
Key Deliverables:
  • HPC VM Image Releases: Deliver 4-6 High-Performance Computing Virtual Machine (HPC VM) image releases during 2025.
  • Software Widget Releases: Release new software widgets every two weeks during 2025, including managing any necessary hotfixes.
HyperCompute Cluster Service (HCS)

HCS is a service that enables the deployment and management of resilient, high-performance AI and HPC systems at scale.

Key Deliverables:
  • API Integration Testing: Add comprehensive integration tests for all HCS Application Programming Interface (API) surfaces. Coverage must include:
    • HypercomputeClusters: Create, Delete, Update, Get, and List requests and responses.
    • Network: NetworkInitialize params.
    • Storage: StorageInitialize, FileStoreInitialize, Filestore tier, ParallelstoreInitialize, and GcsInitialize params.
    • Compute: Resource request, Guest accelerator, Disk, Provisioning model, Reservation affinity and type, Orchestrator, Slurm, Node test, Storage configuration, and Slurm partition.
  • Critical User Journey (CUJ) Validation: Add integration tests to validate the following critical user journeys:
    • Creating a cluster that consumes a reservation.
    • Creating a cluster with a new network and new storage.
    • Creating a cluster using a pre-existing network and storage created both outside of HCS and by a previous HCS deployment.
    • Destroying all components of an HCS-created cluster.
    • Destroying a cluster while leaving the network and storage intact.

Updating a Slurm cluster to add a new reservation to both new and existing partitions

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