Hpc Engineer Jobs
Hpc Engineer jobs are open across national laboratories, defense contractors, cloud providers, and research universities, at levels from new-grad to principal and staff, with specializations in parallel computing, GPU/accelerator programming, and distributed systems performance tuning. Find a role that fits from the openings below and apply directly.
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Showing 5 of 63+ Hpc Engineer jobs
Job ID 2026-17339
Date posted May. 11, 2026
Location Austin, Texas
Category Hardware Engineering
Job Overview
Engineering IT provides the high-performance compute platforms that enable Arm’s engineering teams to design, verify, and deliver world-class products. The team operates a mix of on-premises and cloud-based HPC environments, EDA enablement services, job scheduling platforms, automation tooling, and custom workflows that are critical to engineering productivity across Arm.
We are looking for an HPC Operations Engineer to help run, improve, and modernize these services. This role combines production operations, site reliability engineering, automation, cloud integration, and close collaboration with engineering users and infrastructure teams.
Responsibilities
- Operate, support, and continuously improve Arm’s HPC platforms, with a solid focus on IBM Spectrum LSF and related job scheduling services.
- Improve reliability, scalability, performance, and operational efficiency through automation, observability, standardization, and SRE practices.
- Develop automation and self-service capabilities to reduce manual operational effort and improve the user experience.
- Support production HPC environments, including incident response, solve, root cause analysis, service restoration, and continuous improvement.
- Work directly with engineering users to improve job scheduling behavior, workload performance, resource utilization, and platform efficiency.
- Develop and maintain scripts, tools, and automation frameworks using Python, Bash, and related technologies.
- Support modernization initiatives involving containers, Kubernetes, Docker, cloud-native services, Infrastructure as Code, and alternative scheduling or orchestration technologies.
- Contribute to cloud HPC integration across AWS, GCP, Azure, OpenStack, and hybrid environments.
- Collaborate with platform, cloud, storage, infrastructure, networking, and security teams to deliver robust engineering services.
- Contribute to project delivery by working with technical leads, architects, project managers, and operational team members.
- Help define and promote standards for DevOps, SRE, platform engineering, CI/CD, monitoring, and infrastructure automation.
Required Skills and Experience
- Experience operating HPC environments and job schedulers such as IBM Spectrum LSF, Slurm, PBS, Grid Engine, or similar.
- Strong Linux system administration experience, preferably with RHEL or RHEL-based distributions.
- Good scripting and automation skills using Python, Bash, Shell, or similar languages.
- Experience supporting production infrastructure, including incident management, solve, operational recovery, and conducting RCA or comparable experience.
- Familiarity with monitoring, alerting, and observability platforms such as Dynatrace, Prometheus, Grafana, or similar.
- Experience building, maintaining, or supporting CI/CD pipelines and automation frameworks.
- Experience with public, private, or hybrid cloud platforms, including AWS, GCP, Azure, OpenStack, and Kubernetes-based services.
- Understanding of DevOps, SRE, platform engineering, infrastructure automation, and operational excellence principles.
- Familiarity with Agile delivery practices and collaboration tools such as Jira and Confluence.
- Ability to work with engineering users, understand workload requirements, and translate operational issues into practical improvements.
Desirable Experience
- Experience working in EDA or semiconductor engineering environments.
- Familiarity with EDA tools, license-aware scheduling, large-scale batch workloads, and engineering compute workflows.
- Exposure to container platforms and orchestration technologies such as Docker, Kubernetes, and Kubernetes-native scheduling.
- Experience with Infrastructure as Code tools such as Terraform and Ansible.
- Exposure to alternative schedulers such as Slurm or cloud-native workload orchestration systems.
- Experience using AI-assisted tooling, MCP, agentic services, or automation agents to improve diagnostics, operations, optimization, or self-service support.
- Experience operating large-scale distributed systems across both on-premises and cloud infrastructure.
Salary Range:
$130,100-$176,000 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job ID 2026-17339
Date posted May. 11, 2026
Location Austin, Texas
Category Hardware Engineering
Job Overview
Engineering IT provides the high-performance compute platforms that enable Arm’s engineering teams to design, verify, and deliver world-class products. The team operates a mix of on-premises and cloud-based HPC environments, EDA enablement services, job scheduling platforms, automation tooling, and custom workflows that are critical to engineering productivity across Arm.
We are looking for an HPC Operations Engineer to help run, improve, and modernize these services. This role combines production operations, site reliability engineering, automation, cloud integration, and close collaboration with engineering users and infrastructure teams.
Responsibilities
- Operate, support, and continuously improve Arm’s HPC platforms, with a solid focus on IBM Spectrum LSF and related job scheduling services.
- Improve reliability, scalability, performance, and operational efficiency through automation, observability, standardization, and SRE practices.
- Develop automation and self-service capabilities to reduce manual operational effort and improve the user experience.
- Support production HPC environments, including incident response, solve, root cause analysis, service restoration, and continuous improvement.
- Work directly with engineering users to improve job scheduling behavior, workload performance, resource utilization, and platform efficiency.
- Develop and maintain scripts, tools, and automation frameworks using Python, Bash, and related technologies.
- Support modernization initiatives involving containers, Kubernetes, Docker, cloud-native services, Infrastructure as Code, and alternative scheduling or orchestration technologies.
- Contribute to cloud HPC integration across AWS, GCP, Azure, OpenStack, and hybrid environments.
- Collaborate with platform, cloud, storage, infrastructure, networking, and security teams to deliver robust engineering services.
- Contribute to project delivery by working with technical leads, architects, project managers, and operational team members.
- Help define and promote standards for DevOps, SRE, platform engineering, CI/CD, monitoring, and infrastructure automation.
Required Skills and Experience
- Experience operating HPC environments and job schedulers such as IBM Spectrum LSF, Slurm, PBS, Grid Engine, or similar.
- Strong Linux system administration experience, preferably with RHEL or RHEL-based distributions.
- Good scripting and automation skills using Python, Bash, Shell, or similar languages.
- Experience supporting production infrastructure, including incident management, solve, operational recovery, and conducting RCA or comparable experience.
- Familiarity with monitoring, alerting, and observability platforms such as Dynatrace, Prometheus, Grafana, or similar.
- Experience building, maintaining, or supporting CI/CD pipelines and automation frameworks.
- Experience with public, private, or hybrid cloud platforms, including AWS, GCP, Azure, OpenStack, and Kubernetes-based services.
- Understanding of DevOps, SRE, platform engineering, infrastructure automation, and operational excellence principles.
- Familiarity with Agile delivery practices and collaboration tools such as Jira and Confluence.
- Ability to work with engineering users, understand workload requirements, and translate operational issues into practical improvements.
Desirable Experience
- Experience working in EDA or semiconductor engineering environments.
- Familiarity with EDA tools, license-aware scheduling, large-scale batch workloads, and engineering compute workflows.
- Exposure to container platforms and orchestration technologies such as Docker, Kubernetes, and Kubernetes-native scheduling.
- Experience with Infrastructure as Code tools such as Terraform and Ansible.
- Exposure to alternative schedulers such as Slurm or cloud-native workload orchestration systems.
- Experience using AI-assisted tooling, MCP, agentic services, or automation agents to improve diagnostics, operations, optimization, or self-service support.
- Experience operating large-scale distributed systems across both on-premises and cloud infrastructure.
Salary Range:
$130,100-$176,000 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
See All 63+ Hpc Engineer Jobs
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Find Hpc Engineer JobsHpc Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- NVIDIA21
- KLA5
- Microsoft4
- Yandex3
- Axle2
Top Industries Hiring
- Technology & Software29
- Law & Legal Services9
- Manufacturing7
- Artificial Intelligence4
- Education4
What Employers Look For
The qualifications that appear most often in hpc engineer jobs.
- Bachelor's or master's degree in computer science, computational science, or a related engineering discipline
- Proficiency in parallel programming models including MPI, OpenMP, and CUDA or HIP
- Experience with HPC job schedulers such as Slurm, PBS Pro, or LSF
- Strong C, C++, or Fortran programming skills for performance-critical scientific applications
- Familiarity with profiling and performance analysis tools such as VTune, Nsight, or Tau
- Experience porting or optimizing workloads on GPU-accelerated or many-core architectures
Tips for Your Hpc Engineer Job Search
Quantify parallel performance gains on your resume
Hiring managers want concrete throughput or scaling numbers. Replace vague phrases like 'optimized MPI jobs' with specifics: how many nodes, what speed-up factor, or which benchmark improved. Quantified results stand out immediately against generic HPC resumes.
Apply early to roles that fit
Migrate Mate lists hpc engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job postings by scheduler and environment
Filter your search by Slurm, PBS Pro, or LSF mentions alongside the cloud or on-prem environment. Roles requiring the same scheduler stack you know move faster through screening, so matching on those keywords narrows your list without missing relevant openings.
Showcase profiling and benchmarking tool experience
Postings for senior hpc engineer roles increasingly require hands-on profiling experience. Call out specific tools: Nsight, VTune, Tau, or Darshan. Listing the tool and the code base you profiled together signals you can own the full optimization cycle, not just compile and run.
Prepare a technical narrative around a hard scaling problem
HPC interviews almost always include a deep-dive on one past project. Pick a job where you hit a real bottleneck and fixed it: communication overhead, I/O saturation, or memory bandwidth. Walk the interviewer through diagnosis, the fix, and the measured outcome.
Negotiate with runtime efficiency as your leverage
In offer conversations, tie your profiling and tuning work to compute-hour savings your future employer recognizes. Teams running large allocations on national or commercial clusters treat runtime reduction as direct cost avoidance, which strengthens your case beyond the standard market-rate comparison.
Hpc Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most hpc engineers?
The companies hiring the most hpc engineers right now include NVIDIA, KLA, and Microsoft, with the largest share of openings in California, Texas, and Massachusetts, based on current listings on Migrate Mate as of June 2026. National laboratories, defense prime contractors, and hyperscale cloud providers consistently post the highest volumes of hpc engineer roles.
How many hpc engineer jobs are remote?
About 27% of hpc engineer openings are fully remote or hybrid as of June 2026, reflecting the role's strong dependence on access to on-prem clusters at many employers. Work on cloud-native HPC platforms and performance engineering for distributed software tends to offer the most remote flexibility within the field.
How do you become a hpc engineer?
Start with a degree in computer science, computational science, physics, or a related engineering field, then build hands-on parallel programming skills in MPI and OpenMP through coursework or open-source scientific projects. Gain proficiency with at least one GPU programming framework such as CUDA or HIP, learn a job scheduler, and contribute to or benchmark a real parallel application. Internships at national laboratories or research computing centers are among the most direct paths into the field.
Can I get hired as a hpc engineer with little experience?
Yes, entry-level hpc engineer roles exist, particularly at universities, national labs, and cloud providers running research computing programs. Employers at this level look for demonstrated parallel programming work: a thesis project, a graduate course that used a cluster, or a contribution to an open-source scientific code. Showing you understand the MPI or OpenMP programming model and have run jobs on a real scheduler matters more than years of industry experience at the junior level.
What does the hpc engineer interview process look like?
Most hpc engineer interviews follow a multi-stage format: an initial recruiter screen, a technical phone interview covering parallel programming concepts and profiling approaches, and then a virtual or on-site loop with the engineering team. The loop typically includes a live coding or debugging exercise focused on MPI or GPU code, a deep-dive discussion of a past performance optimization project, and a system design conversation around scaling a workload. Some employers add a take-home benchmark analysis before the final round.
Where can I find and apply to hpc engineer jobs?
You can find and apply to hpc engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 63+ Hpc Engineer Jobs
Jump back to the full list of openings and apply to any hpc engineer role that fits.
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