Hpc Engineer Jobs in USA with Visa Sponsorship
HPC Engineers are strong H-1B visa and O-1 visa candidates. The role qualifies as a specialty occupation, and employers in national labs, cloud infrastructure, and supercomputing regularly sponsor. Expect employer-filed petitions, LCA certification, and two- to three-month processing timelines. For detailed occupation requirements, see the O*NET profile.
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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.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Hpc Engineer
Target employers with existing HPC infrastructure
National labs like Argonne, Oak Ridge, and Lawrence Berkeley, plus cloud providers with HPC divisions, file LCAs regularly. These employers have established immigration processes and are far more likely to sponsor than companies new to high-performance computing.
Frame your degree around computational science or engineering
USCIS requires a specialty occupation match. A degree in computer science, electrical engineering, computational physics, or applied mathematics directly supports your H-1B petition. Misaligned degrees invite RFEs, so position your background precisely in your application materials.
Document parallel computing and architecture expertise specifically
Sponsoring employers need to demonstrate the role requires a specific degree. Your resume should lead with MPI, CUDA, OpenMP, and cluster architecture work. Vague descriptions of software engineering experience weaken the specialty occupation argument at the LCA and I-129 stage.
Consider O-1A if your research contributions are substantial
HPC Engineers who have published benchmarking research, contributed to open-source parallel computing tools, or received peer recognition may qualify for O-1A. This visa bypasses the H-1B lottery entirely and is increasingly viable for engineers at the senior level.
Understand that government contractor roles add complexity
Many HPC positions sit inside defense or federal contractor environments requiring security clearances. Visa holders can rarely obtain these clearances, so focus your search on commercial cloud HPC, academic research computing, and private sector scientific computing teams instead.
Use Migrate Mate to find sponsors before applying broadly
Not every company that posts HPC roles will sponsor. Migrate Mate surfaces jobs from employers with documented sponsorship history, so you spend time on applications with a real path to visa support rather than chasing postings that will stall at HR.
Frequently Asked Questions
Does an HPC Engineer role qualify for H-1B sponsorship?
Yes. HPC Engineer is a well-established specialty occupation under USCIS standards. The role typically requires at least a bachelor's degree in computer science, electrical engineering, computational science, or a closely related field. Employers filing for this title have a strong precedent record, and RFEs are less common than for generalist software roles, provided the job description clearly ties duties to a specific technical discipline.
Which employers most commonly sponsor HPC Engineers?
DOE national laboratories, large cloud providers with HPC divisions, semiconductor manufacturers, financial firms running quantitative simulations, and university research computing centers are the most active sponsors. These organizations file LCAs consistently and have internal immigration counsel familiar with the process. Migrate Mate filters sponsoring employers specifically, so you can identify these organizations without sifting through hundreds of postings manually.
Can I qualify for an HPC Engineer H-1B with a three-year bachelor's degree?
A three-year bachelor's degree from a recognized institution can satisfy the H-1B visa education requirement if USCIS accepts it as equivalent to a U.S. four-year bachelor's. This is more common for degrees from Indian universities under certain evaluation frameworks. Your employer's immigration attorney will typically order a credential evaluation report from a NACES-member organization to document equivalency. The outcome is not guaranteed and depends on the evaluator's assessment and the specific institution.
What is the H-1B approval rate for HPC Engineer positions?
USCIS does not publish approval rates broken down by job title, but HPC Engineer petitions filed under computer occupations SOC codes historically see approval rates above 85% when the degree field aligns with the role. RFEs most commonly arise when the employer's job description is too broad or when the applicant's degree is in a field USCIS considers only tangentially related. Specific, technically detailed job descriptions significantly reduce RFE risk.
Does holding a security clearance affect my ability to work on an H-1B as an HPC Engineer?
This is one of the most practical constraints in the HPC job market. Most U.S. government and defense contractor HPC roles require a clearance, and current policy generally prohibits granting clearances to non-U.S. citizens or permanent residents. H-1B holders are not eligible. This eliminates a significant portion of HPC job postings, particularly those tied to national security computing programs. Focus on commercial and academic HPC roles, which do not carry this restriction.
What is the prevailing wage requirement for sponsored Hpc Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.