Green Card Hpc Engineer Jobs
HPC engineer roles at U.S. national labs, research universities, and cloud infrastructure companies regularly qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification. Employers file the I-140 immigrant petition after DOL certifies the role, putting you on a path to permanent residency rather than repeated visa renewals.
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Get Access To All JobsJob 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 52+ Green Card Hpc Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Hpc Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Hpc Engineer
Document your parallel computing credentials early
Gather transcripts, publications, and project portfolios that demonstrate proficiency in MPI, OpenMP, or GPU programming before applying. USCIS scrutinizes whether your degree field directly maps to the HPC role's minimum requirements during PERM adjudication.
Target employers with active PERM filing history
National laboratories, defense contractors, and research-intensive universities file PERM for HPC roles far more consistently than commercial startups. Searching DOL disclosure data lets you verify which organizations have certified similar positions recently.
Use Migrate Mate to filter sponsoring employers
Search Migrate Mate's job board to find HPC engineer openings at companies with confirmed green card sponsorship history, saving you from applying to employers who have no PERM infrastructure in place for this occupation.
Negotiate job duties before the PERM audit begins
The job description locked into the PERM application defines your role permanently. Get the employer's HR team to align posted duties with your actual work in high-performance computing before DOL's supervised recruitment period starts, since changes after filing can restart the process.
Verify the prevailing wage tier for your HPC specialization
HPC engineering spans wage levels I through IV under DOL classification. Run your specific job title and worksite location through the OFLC Wage Search to confirm which level applies, because misclassification is a common PERM denial trigger for technical roles.
Understand EB-2 versus EB-3 routing before accepting an offer
If your role requires a master's degree in computer science or engineering, ask the employer to file under EB-2, which can shorten your wait if you're from a country without a significant backlog. EB-3 is valid but carries different priority date timelines.
Green Card Hpc Engineer: Frequently Asked Questions
Do HPC engineer roles typically qualify for EB-2 or EB-3 sponsorship?
Most HPC engineer positions qualify for EB-2 when the employer requires a master's degree or equivalent in computer science, electrical engineering, or a closely related field. Roles requiring only a bachelor's degree route through EB-3 as skilled workers. The PERM labor certification must reflect the actual minimum requirement the employer enforces, not an inflated credential, so the job description wording matters significantly for which category you land in.
How does green card sponsorship differ from H-1B for HPC engineers?
H-1B visa is temporary, subject to an annual lottery, and must be renewed every three years. PERM-based green card sponsorship leads to permanent residency with no lottery and no renewal cycle once approved. The tradeoff is timeline: PERM labor certification alone takes several months, followed by the I-140 and adjustment of status stages. For HPC engineers from countries without major backlogs, the total process often runs two to four years, but the outcome is permanent status rather than continued visa dependency.
What does the PERM process look like for an HPC engineer position?
Your employer files the PERM application with DOL after completing a supervised recruitment period to demonstrate no qualified U.S. workers are available for the role. DOL then certifies or audits the application. After certification, the employer files the I-140 immigrant petition with USCIS on your behalf. Once that is approved and a visa number is available based on your priority date and country of birth, you file for adjustment of status or go through consular processing to receive your green card.
How can I find HPC engineer jobs that offer green card sponsorship?
Migrate Mate is built specifically for this search. You can filter for HPC engineer roles at employers with verified green card sponsorship history, which removes the guesswork of approaching companies that have never filed PERM. National labs, defense contractors, and research universities appear frequently in these results because they sponsor PERM for technical computing roles on a regular basis.
Can I use O*NET data to strengthen my PERM application as an HPC engineer?
O*NET profiles the HPC engineer occupation with standardized task descriptions, required knowledge areas, and typical education levels. Employers and immigration attorneys often reference O*NET when drafting the PERM job description to ensure the duties align with DOL's occupational classification. Reviewing the O*NET profile yourself lets you flag any mismatch between your actual responsibilities and what the employer plans to file, which is a practical way to catch problems before the application is submitted.