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Zealogics.com

HPC engineer

San Jose, CA · On-site

Configuration and maintenance of the HPC computer rack/hardware. Professionally resolve hardware issues * HPC Rack, Build, cable, configure, and provision Linux kernel, windows server. * HPC ...

Summa

HPC Platform Engineer

Houston, TX · Hybrid

$70 - $90/hr

HPC Platform Engineer Location: Houston, TX (Hybrid, First 6 Months Onsite) Duration: 6MO Contract-to-Hire Work Requirements: Must be authorized to work in the U.S. Summary We are partnering with a ...

Biohub

Staff HPC Engineer

San Francisco, CA · On-site +1

The Team The HPC Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and ...

Biohub

Staff HPC Engineer

San Francisco, CA · Hybrid

The Team The HPC Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and ...

NorthMark Strategies

HPC Kubernetes Architect

Dallas, TX · On-site

$62.75 - $86/hr

The Position As an HPC Kubernetes Solutions Architect, you will act as a trusted advisor to customers, guiding them through the design, integration, and adoption of GPU-accelerated Kubernetes ...

NorthMark Strategies

HPC Kubernetes Architect

Dallas, TX · On-site

$62.75 - $86/hr

The Position As an HPC Kubernetes Solutions Architect, you will act as a trusted advisor to customers, guiding them through the design, integration, and adoption of GPU-accelerated Kubernetes ...

GDIT

HPC Computational Scientist

Dayton, OH · Hybrid

$96K - $130K/yr

High Performance Computing (HPC), Python Software Development, Scientific Research, Supercomputing Certifications: None Experience: 3 + years of related experience US Citizenship Required: Yes *this ...

IMC

HPC Engineer

Chicago, IL

We're looking for an HPC Engineer to work closely with Researchers, Machine Learning Engineers, and Software Engineers to get the most out of our compute platforms. This role is about applying deep ...

KLA Corporation

HPC Storage Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

We're seeking an HPC Storage Engineer who wants handson experience working with production HPC storage systems. This role offers strong technical mentorship, realworld impact, and a clear path to ...

Jahnel Group

HPC Administrator

Schenectady, NY

Who We're Looking For We are seeking an experienced HPC Administrator with a strong background in Linux systems administration , HPC environments , and workload scheduling platforms such as PBS ...

asrcfh

Senior HPC Engineer

Mountain View, CA · On-site

$123K - $168K/yr

ASRC Federal is looking for a Senior HPC Engineer, as ASRC Federal InuTeq provides High Performance Computing services across the full HPC lifecycle including computational requirements, architecture ...

GIGATEC

HPC Software Engineer

Annapolis Junction, MD · On-site

$235K - $265K/yr

We are seeking HPC Software Engineer who wish to accelerate their skills and focus on tackling the most difficult challenges of the US Government, in one of the most exciting areas of the mission ...

Jahnel Group

HPC Administrator

Schenectady, NY · On-site

Who We're Looking For We are seeking an experienced HPC Administrator with a strong background in Linux systems administration , HPC environments , and workload scheduling platforms such as PBS ...

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How much do hpc jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for hpc in the United States is $18.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.15 per hour, depending on experience, location, and employer.

What is the difference between Hpc vs Network Administrator?

AspectHpcNetwork Administrator
Required CredentialsTypically requires a degree in computer science, IT, or related field; certifications like HPC certifications or Linux certifications are commonRequires a degree in computer science, IT, or related field; certifications like Cisco CCNA, CompTIA Network+ are common
Work EnvironmentHigh-performance computing centers, research labs, data centersOffice settings, data centers, corporate IT departments
Industry UsageResearch institutions, scientific computing, large-scale data processingCorporate, government, and educational institutions managing network infrastructure

Hpc specialists focus on managing and optimizing high-performance computing systems for scientific and research purposes, while Network Administrators oversee and maintain network infrastructure to ensure connectivity and security. Both roles require IT expertise but differ in their specific environments and technical focus.

What jobs pay $10,000 a month without a degree?

High-paying jobs that can reach $10,000 a month without a degree often include roles such as software developers, sales managers, real estate brokers, and skilled trades like electricians or plumbers. Success in these fields typically depends on experience, skills, certifications, or performance rather than formal education alone.

What jobs pay $500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as successful entrepreneurs, top-tier investment bankers, and certain specialized medical professionals like neurosurgeons. These roles typically require extensive experience, advanced skills, and often involve significant responsibility or ownership stakes.

What are some HPC job roles?

HPC (High-Performance Computing) job roles include HPC system administrators, who manage and maintain computing clusters; HPC software engineers, who develop and optimize applications for parallel processing; and HPC research scientists, who utilize high-performance systems for scientific simulations and data analysis. These roles often require knowledge of Linux, scripting, and parallel programming tools like MPI or OpenMP.

What are HPC (High Performance Computing) professionals?

HPC (High Performance Computing) professionals are experts who design, manage, and optimize powerful computing systems used for complex computational tasks. These systems are often used in scientific research, weather forecasting, engineering simulations, and data analysis where large amounts of data need to be processed quickly. HPC professionals work with clusters, supercomputers, and advanced software to ensure high-speed performance and reliability. Their skills include parallel programming, system administration, and troubleshooting complex computational problems.

What are the key skills and qualifications needed to thrive as an HPC (High Performance Computing) Specialist, and why are they important?

To thrive as an HPC Specialist, you need a strong background in computer science, parallel programming, and systems architecture, often supported by a relevant degree or certifications. Familiarity with Linux operating systems, cluster management tools, job schedulers (like SLURM), and programming languages such as C/C++ or Python is essential. Effective problem-solving, teamwork, and communication skills help HPC specialists collaborate with researchers and troubleshoot complex technical issues. These skills and qualities are crucial to optimize computational resources and support advanced scientific or engineering projects.

What are some common challenges faced by HPC (High Performance Computing) professionals when supporting large-scale scientific research projects?

HPC professionals often encounter challenges such as optimizing code for parallel processing, managing limited computational resources, and ensuring efficient data throughput for large datasets. Collaborating with researchers to translate scientific problems into computational tasks requires strong communication skills and adaptability. Additionally, keeping up with rapidly evolving hardware and software technologies is essential for maintaining and improving system performance. These challenges are typically met through ongoing training, teamwork with domain scientists, and proactive system monitoring.

Does HPC pay well?

HPC (High Performance Computing) jobs typically offer competitive salaries due to the specialized skills required, such as knowledge of parallel processing, cluster management, and programming languages like C++ or Python. Salaries vary based on experience, location, and industry, but generally, HPC roles are well-compensated compared to other IT positions.
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Hpc jobs near you

Senior HPC Architect

TESTINGXPERTS, INC. DBA DAMCOSOFT

Warren, NJ • On-site

Other

Posted 5 days ago

Job description

Senior HPC Architect

Location: Warren, NJ (Hybrid)

About the Role

We are seeking a highly specialised Senior Google Cloud Platform Architect with deep, hands-on High Performance Computing (HPC) expertise in Life Sciences and Genomics to lead the migration of large-scale on-premises HPC environments to Google Cloud Platform. This is a hands-on technical leadership role - not an advisory position - requiring genuine experience migrating production HPC infrastructure and scientific computing workloads from on-premises clusters to Google Cloud Platform.

The ideal candidate has personally designed and executed on-premises HPC to Google Cloud Platform migration programmes in life sciences or genomics settings, understands the unique regulatory, data sensitivity, and performance demands of genomic pipelines and scientific workloads, and can architect Google Cloud Platform HPC environments that match or exceed the performance of the on-premises systems being replaced.

You will work directly with research computing teams, bioinformatics leads, IT infrastructure staff, and senior client stakeholders - translating complex scientific computing requirements into well-architected, compliant, and cost-optimised Google Cloud Platform solutions. This role requires someone equally comfortable debugging a GATK pipeline performance issue with a bioinformatician and presenting a cloud HPC migration business case to a CIO.

Key Responsibilities

HPC Migration - Discovery & Planning

  • Lead end-to-end on-premises HPC migration discovery for life sciences and genomics environments - including full inventory of existing clusters, scheduler configurations, storage systems, application stacks, and data assets.
  • Conduct structured discovery workshops with research computing teams, bioinformatics leads, laboratory IT staff, and HPC administrators to document current-state architecture, workload profiles, job scheduling patterns, and pain points.
  • Perform detailed workload characterisation - profiling genomic pipeline jobs (WGS, WES, RNA-seq, single-cell, variant calling) across compute, memory, storage I/O, and runtime dimensions to inform Google Cloud Platform sizing and architecture decisions.
  • Build comprehensive application and dependency maps - cataloguing HPC software stacks (bioinformatics tools, pipeline frameworks, commercial ISV applications), license dependencies, data dependencies, and inter-workload relationships.
  • Develop HPC Migration Readiness Assessments (MRA) - evaluating gaps in network connectivity, data transfer capacity, security and compliance posture, team cloud readiness, and pipeline portability before migration begins.
  • Define migration wave plans sequencing workload migration based on complexity, scientific criticality, data volumes, regulatory sensitivity, and dependency chains - enabling a phased, low-risk transition.
  • Build detailed migration business cases including on-premises TCO analysis, Google Cloud Platform cost modelling, performance benchmarks, and phased investment roadmaps for sign-off by research and IT leadership.

Google Cloud Platform HPC Architecture for Life Sciences

  • Architect end-to-end Google Cloud Platform HPC environments optimised for genomics and life sciences workloads, leveraging Google Cloud's HPC-specific compute, networking, storage, and managed services.
  • Select and right-size compute instance families for life sciences HPC workloads:
    • C3 / N2 instances for CPU-intensive bioinformatics tools (BWA, GATK, STAR, Salmon)
    • M3 / M2 memory-optimised instances for large in-memory genomics jobs
    • A3 / A2 GPU instances for deep learning genomics workloads (AlphaFold, Parabricks, deep variant calling)
    • Spot VMs for fault-tolerant, checkpointed pipeline jobs to optimise cost
  • Design low-latency cluster networking using compact placement policies, Google's RDMA-capable networking, and GPUDirect RDMA for tightly coupled parallel workloads.
  • Architect high-performance parallel storage solutions for genomics data:
    • Google Parallelstore (Intel DAOS-based) for high-throughput scratch and active analysis data
    • Filestore High Scale / Enterprise for shared pipeline working directories
    • Cloud Storage with FUSE or XML API for reference genomes, raw sequencing data (FASTQ/BAM/CRAM), and results archival
    • Storage tiering strategy - active nearline coldline archive - aligned with data lifecycle and access patterns
  • Design Slurm-based HPC cluster architectures on Google Cloud Platform using Google Cloud HPC Toolkit, including:
    • Auto-scaling partition configuration for variable genomics job demand
    • Reservation management for predictable sustained workloads
    • Preemptible/Spot VM integration for cost-optimised burst capacity
    • Multi-partition designs separating short-job, long-job, GPU, and high-memory workloads
  • Implement Google Batch for high-throughput genomics pipelines requiring parallel task execution across thousands of samples.

Experience

  • Overall experience in cloud infrastructure, HPC, or research computing.
  • hands-on Google Cloud Platform architecture with deep command of Google Cloud Platform compute, networking, storage, and life sciences services.
  • hands-on HPC experience in life sciences or genomics - designing, operating, and migrating HPC clusters supporting bioinformatics or research computing workloads. Production experience required.
  • Demonstrated experience leading on-premises HPC to Google Cloud Platform migration programmes - from discovery through cutover and decommission - at research or enterprise scale.
  • Hands-on experience with genomics pipeline frameworks - WDL/Cromwell, Nextflow, Snakemake, or equivalent - and their deployment on Google Cloud Platform execution backends.
  • Hands-on experience with Google Cloud HPC Toolkit for Slurm cluster deployment, configuration, and customisation on Google Cloud Platform.
  • Proven experience with large-scale genomics data migration - petabyte-scale FASTQ/BAM/VCF datasets - using Storage Transfer Service, Transfer Appliance, or equivalent.
  • Experience with Slurm workload manager - cluster configuration, partition design, job scheduling, and migration from PBS/Torque/LSF environments.
  • Strong command of Google Cloud Platform storage architecture for HPC - Parallelstore, Filestore, Cloud Storage, and storage tiering for genomics data lifecycle management.
  • Experience with HIPAA-compliant cloud architecture for genomics or clinical data environments.
  • Strong Linux systems administration at the HPC level - kernel tuning, environment modules, cluster OS image management, and MPI environment configuration.

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