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Hpc On Azure Jobs (NOW HIRING)

University of New Mexico

HPC Cloud Engineer

Albuquerque, NM · On-site

$8.5K - $12K/mo

Hands-on experience with Linux system administration and management in research or high-performance ... Experience with research cloud governance and environments , including AWS Control Tower and Azure ...

Institute of Foundation Models

HPC Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

Preferred Qualifications • Slurm. • GPU infrastructure. • AWS, Azure, or GCP. • Grafana ... The actual compensation offered may vary within this range depending on individual qualifications ...

Institute of Foundation Models

HPC Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

Preferred Qualifications • Slurm. • GPU infrastructure. • AWS, Azure, or GCP. • Grafana ... The actual compensation offered may vary within this range depending on individual qualifications ...

Hudson River Trading

HPC Network Engineer

Austin, TX · On-site

You will work on a wide variety of projects to enhance the performance and capacity of the network ... Experience with public cloud networks, such as AWS, GCP, Azure * Familiarity with configuration ...

Nvidia

Senior Software Engineer - HPC

Santa Clara, CA · Hybrid

$143K - $189K/yr

Come join the team and see how you can make a lasting impact on the world. We are looking for a ... Handson experience with at least one major cloud provider (GCP, AWS, or Azure) and cloudnative ...

Nvidia

Senior Software Engineer - HPC

Austin, TX · Hybrid

$121K - $160K/yr

Come join the team and see how you can make a lasting impact on the world. We are looking for a ... Handson experience with at least one major cloud provider (GCP, AWS, or Azure) and cloudnative ...

Nvidia

Senior Software Engineer - HPC

Durham, NC · Hybrid

$118K - $156K/yr

Come join the team and see how you can make a lasting impact on the world. We are looking for a ... Handson experience with at least one major cloud provider (GCP, AWS, or Azure) and cloudnative ...

Howard University

Cloud Engineer I

Washington, DC · On-site

$63 - $84/hr

Azure Expertise: Direct experience in the Azure Cloud platform with a focus on architecting ... Familiarity with High-Performance Computing (HPC) in Azure and meeting FedRAMP/government security ...

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How much do hpc on azure jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for hpc on azure in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is HPC in Azure?

HPC in Azure refers to High Performance Computing solutions provided through Microsoft Azure cloud services, enabling organizations to run large-scale, compute-intensive workloads such as simulations, modeling, and data analysis. It involves deploying virtual machines optimized for high performance, often requiring knowledge of parallel computing, cluster management, and cloud infrastructure. Professionals working with HPC on Azure should be familiar with Azure Batch, Azure Virtual Machines, and related tools to efficiently manage and scale workloads.

What are some typical challenges faced when managing HPC workloads on Azure, and how can they be addressed?

Professionals managing HPC workloads on Azure often encounter challenges related to optimizing resource allocation, managing job scheduling, and ensuring high performance across scalable cloud infrastructure. Addressing these issues typically involves leveraging Azure-native tools like Azure CycleCloud or Batch for automated provisioning and monitoring, as well as carefully selecting VM types and storage options suited for specific workload demands. Regular collaboration with IT, data science, and engineering teams is crucial to ensure that workflows remain efficient, secure, and cost-effective.

What is HPC in DevOps?

HPC in DevOps refers to integrating high-performance computing techniques into development and operations workflows to enable large-scale data processing, simulations, and complex computations. It often involves using specialized hardware, parallel processing, and automation tools to improve efficiency and scalability in software deployment and testing.

Does HPC pay well?

HPC (High Performance Computing) roles often offer competitive salaries due to the specialized skills required, such as expertise in parallel computing, Linux, and scripting. Salaries can vary based on experience, location, and industry, but generally, HPC positions tend to pay above average compared to other IT roles.

What is HPC on Azure?

HPC on Azure refers to High Performance Computing solutions that leverage Microsoft Azure's cloud infrastructure to run complex and large-scale computational workloads. Organizations use Azure's scalable computing resources to perform simulations, data analysis, scientific research, and engineering tasks without the need to maintain expensive on-premises hardware. Azure offers specialized virtual machines, fast networking, and integrated storage to support demanding HPC applications. This allows users to scale resources as needed and only pay for what they use, making high-performance computing more accessible and cost-effective.

What are the key skills and qualifications needed to thrive as an HPC on Azure specialist, and why are they important?

To thrive as an HPC on Azure specialist, you need a strong background in high-performance computing, cloud architectures, and experience with parallel processing frameworks, often supported by degrees in computer science or engineering. Familiarity with Azure services such as Azure Batch, Azure CycleCloud, and networking/security configurations, as well as certifications like Microsoft Certified: Azure Solutions Architect Expert, are highly valuable. Strong problem-solving skills, communication, and adaptability are essential for collaborating with diverse teams and addressing evolving customer requirements. These skills enable the efficient deployment, scaling, and management of HPC workloads on Azure, ensuring optimal performance and cost-effectiveness.

Is Azure a high paying job?

HPC on Azure professionals often earn competitive salaries due to specialized skills in cloud computing, high-performance computing, and Azure services. Salaries vary based on experience, location, and certifications, but roles in this field tend to be well-compensated compared to many other IT positions.
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Hpc On Azure jobs near you
Infographic showing various Hpc On Azure job openings in the United States as of July 2026, with employment types broken down into 12% Locum Tenens, 80% Full Time, 1% Part Time, 5% Contract, and 2% Summer. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Senior HPC Storage Architect & Engineer

Senior HPC Storage Architect & Engineer

Lam Research Corporation

Fremont, CA • On-site

Full-time

Re-posted 5 days ago

Lam Research rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

46th of 430 rated machine equipment manufacturers

Job description

The group you'll be a part of
The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives.
The impact you'll make
We are seeking a Senior HPC Storage Engineer to architect and manage the next generation of high-performance data platforms. You will be responsible for the full lifecycle-specification, build, and operation-of both on-premises and cloud-based HPC storage. This role requires deep technical mastery of traditional parallel file systems and modern "all-flash" software-defined storage. You will serve as a lead architect, ensuring that all storage solutions are designed for extreme performance, 99.99% availability, and future scalability while strictly adhering to corporate security and governance standards.
What you'll do
  • Architectural Leadership & Spec: Design and specify large-scale storage architectures for specialized HPC workloads. This includes evaluating and selecting between traditional parallel file systems (Lustre, GPFS/Spectrum Scale) and modern, high-concurrency platforms like VAST Data or WEKA.
  • Hybrid Cloud Integration: Build and operate automated data pipelines between on-premise infrastructure and cloud platforms (AWS, Azure, or GCP).
  • NetApp & GIS Collaboration: Partner with the GIS Enterprise Storage team to leverage existing NetApp ecosystems. Implement NetApp FlexCache to provide globally distributed access to datasets, ensuring low-latency performance for remote HPC nodes.
  • Data Mobility & Automation: Design and implement automated replication, auto-migration, and tiered storage workflows to ensure data is available where it is needed most without manual intervention.
  • Security & Compliance: Hardened storage systems in accordance with Lam Research Security Guidelines, ensuring data encryption at rest/in transit, multi-tenancy isolation, and robust access controls.
  • Scalability & Performance Engineering: Perform rigorous benchmarking (IOR, FIO, MDTest) to identify and eliminate bottlenecks. Ensure the storage fabric (InfiniBand/HDR/NDR and NVMe-over-Fabrics) is tuned for maximum throughput and IOPS.
  • Availability & Disaster Recovery: Design high-availability (HA) configurations that eliminate single points of failure, ensuring mission-critical research and engineering data is always accessible.

Who we're looking for
  • Experience: 10+ years in Storage Engineering, with at least 6 years dedicated to HPC environments.
  • Experience in Cluster computing and Server, Storage and Networking components and HPC schedulers like SLURM and tools like xCAT and Warewulf.
  • Parallel File System Mastery: Expert-level experience in deploying and tuning Lustre or IBM Spectrum Scale (GPFS) at scale (Petabyte+ environments).
  • Modern Storage Expertise: Proven track record with VAST Data or WEKA, specifically in high-performance NVMe/Flash-first environments.
  • NetApp Advanced Skills: Proficiency in NetApp ONTAP, specifically for hybrid cloud workflows using FlexCache, SnapMirror, and FlexClone.
  • Infrastructure as Code (IaC): Ability to manage storage configurations using automation tools like Ansible, Terraform, or SaltStack. Experience in programming and debugging using Python and YAML scripting
  • Networking Knowledge: Deep understanding of HPC interconnects, including InfiniBand, RoCE, and high-speed Ethernet (100GbE+).
  • Security Mindset: Demonstrated ability to implement storage security best practices, including Kerberos, LDAP integration, and SEC-compliant data immutability.

Preferred qualifications
  • Experience with Container Storage Interfaces (CSI) for running HPC workloads in Kubernetes.
  • Relevant certifications (e.g., NetApp Certified Data Administrator, VAST Data Specialist, or Red Hat Certified Architect).
  • Experience with S3 Object Storage integration for long-term archival and data tiering.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
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Salary
Salary Range for this position: $114,000.00 - $253,000.00.
The above salary range for this position is relevant to applicants that reside in California and most states. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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