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 JobsINTRODUCTION
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.
Group/Division
The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The e-Beam division plays a critical role in KLA’s inspection ecosystem, with tools that deliver high-resolution, timely insights into defects and critical locations on the wafer. Used alongside KLA’s patterned and bare wafer inspectors, e-Beam systems help our customers quickly identify and understand yield-impacting issues—enabling faster, more effective actions to correct the manufacturing process.
In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. KLA’s EBeam products serve as the sharpest eyes in our inspection portfolio, delivering ultra-high-resolution insights into defects and critical wafer locations with unmatched precision. As a key complement to KLA’s patterned and bare wafer inspection systems, EBeam technology enables customers to rapidly identify, analyze, and resolve manufacturing issues that directly impact yield and performance. Behind these industry-leading systems is a powerful High-Performance Computing (HPC) infrastructure. We are seeking a highly skilled engineer to architect, develop, deploy, and support scalable Kubernetes environments on Linux-based HPC platforms. This role sits at the intersection of Linux systems engineering, networking, Kubernetes orchestration, and advanced compute infrastructure, helping drive the performance and reliability of next-generation semiconductor inspection solutions.
Responsibilities
In this exciting role, you will:
- Architect, deploy, and support Kubernetes clusters running on enterprise Linux platforms across HPC environments.
- Design, configure, and optimize Linux-based compute infrastructure with a focus on scalability, performance, reliability, and automation.
- Lead networking architecture and troubleshooting across servers, switches, storage systems, and Kubernetes environments, ensuring high availability and low-latency communication.
- Support high-performance compute clusters consisting of cutting-edge CPU and GPU technologies.
- Configure and maintain Linux operating systems including Red Hat, Rocky Linux, Ubuntu, and SUSE.
- Develop and automate infrastructure deployment, provisioning, and lifecycle management using scripting and configuration management tools.
- Collaborate with hardware vendors to define, validate, and release computer, networking, and storage solutions.
- Generate hardware BOMs and lead infrastructure qualification, release, and deployment activities.
- Support scalable storage architectures and high-bandwidth interconnect technologies critical to HPC workloads.
- Create and maintain golden images, deployment procedures, automation scripts, and technical documentation for manufacturing and customer support organizations.
- Ensure system designs meet performance, availability, and scalability requirements while driving projects to successful completion.
Required Qualifications
- Deep expertise administering and troubleshooting enterprise Linux environments (Red Hat, Rocky Linux, Ubuntu, SUSE).
- Strong hands-on experience designing, deploying, and maintaining Kubernetes clusters in production environments.
- Deep understanding of networking fundamentals, including TCP/IP, DNS, DHCP, HTTP, LDAP, SMTP, routing, switching, and network troubleshooting.
- Experience working with server networking infrastructure, high-speed interconnects, and external switching environments.
- Strong knowledge of HPC architectures, including compute servers, GPU platforms, storage systems, BIOS/BMC technologies, and cluster infrastructure.
- Experience with Linux services and technologies including SystemD, PXE/NetBoot, Linux High Availability, and system automation.
- Experience supporting scalable and resilient storage platforms in HPC or data center environments.
- Proficiency in Shell and Python scripting for automation, deployment, and operational support.
- Experience with Infrastructure as Code and configuration management tools such as Ansible (preferred), Salt, Chef, or Puppet.
- Experience supporting containerized workloads and cloud-native infrastructure is highly preferred.
Preferred Background
- Experience building and supporting Kubernetes platforms for HPC, AI/ML, or GPU-intensive workloads.
- Familiarity with cloud-based compute architectures and hybrid infrastructure environments.
- Experience optimizing networking and storage performance for large-scale distributed compute systems.
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.
About KLA
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.
Total Rewards
Base Pay Range: $136,300.00 - $199,900.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Use of AI Statement
At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.
Equal Opportunity Statement
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.
INTRODUCTION
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.
Group/Division
The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The e-Beam division plays a critical role in KLA’s inspection ecosystem, with tools that deliver high-resolution, timely insights into defects and critical locations on the wafer. Used alongside KLA’s patterned and bare wafer inspectors, e-Beam systems help our customers quickly identify and understand yield-impacting issues—enabling faster, more effective actions to correct the manufacturing process.
In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. KLA’s EBeam products serve as the sharpest eyes in our inspection portfolio, delivering ultra-high-resolution insights into defects and critical wafer locations with unmatched precision. As a key complement to KLA’s patterned and bare wafer inspection systems, EBeam technology enables customers to rapidly identify, analyze, and resolve manufacturing issues that directly impact yield and performance. Behind these industry-leading systems is a powerful High-Performance Computing (HPC) infrastructure. We are seeking a highly skilled engineer to architect, develop, deploy, and support scalable Kubernetes environments on Linux-based HPC platforms. This role sits at the intersection of Linux systems engineering, networking, Kubernetes orchestration, and advanced compute infrastructure, helping drive the performance and reliability of next-generation semiconductor inspection solutions.
Responsibilities
In this exciting role, you will:
- Architect, deploy, and support Kubernetes clusters running on enterprise Linux platforms across HPC environments.
- Design, configure, and optimize Linux-based compute infrastructure with a focus on scalability, performance, reliability, and automation.
- Lead networking architecture and troubleshooting across servers, switches, storage systems, and Kubernetes environments, ensuring high availability and low-latency communication.
- Support high-performance compute clusters consisting of cutting-edge CPU and GPU technologies.
- Configure and maintain Linux operating systems including Red Hat, Rocky Linux, Ubuntu, and SUSE.
- Develop and automate infrastructure deployment, provisioning, and lifecycle management using scripting and configuration management tools.
- Collaborate with hardware vendors to define, validate, and release computer, networking, and storage solutions.
- Generate hardware BOMs and lead infrastructure qualification, release, and deployment activities.
- Support scalable storage architectures and high-bandwidth interconnect technologies critical to HPC workloads.
- Create and maintain golden images, deployment procedures, automation scripts, and technical documentation for manufacturing and customer support organizations.
- Ensure system designs meet performance, availability, and scalability requirements while driving projects to successful completion.
Required Qualifications
- Deep expertise administering and troubleshooting enterprise Linux environments (Red Hat, Rocky Linux, Ubuntu, SUSE).
- Strong hands-on experience designing, deploying, and maintaining Kubernetes clusters in production environments.
- Deep understanding of networking fundamentals, including TCP/IP, DNS, DHCP, HTTP, LDAP, SMTP, routing, switching, and network troubleshooting.
- Experience working with server networking infrastructure, high-speed interconnects, and external switching environments.
- Strong knowledge of HPC architectures, including compute servers, GPU platforms, storage systems, BIOS/BMC technologies, and cluster infrastructure.
- Experience with Linux services and technologies including SystemD, PXE/NetBoot, Linux High Availability, and system automation.
- Experience supporting scalable and resilient storage platforms in HPC or data center environments.
- Proficiency in Shell and Python scripting for automation, deployment, and operational support.
- Experience with Infrastructure as Code and configuration management tools such as Ansible (preferred), Salt, Chef, or Puppet.
- Experience supporting containerized workloads and cloud-native infrastructure is highly preferred.
Preferred Background
- Experience building and supporting Kubernetes platforms for HPC, AI/ML, or GPU-intensive workloads.
- Familiarity with cloud-based compute architectures and hybrid infrastructure environments.
- Experience optimizing networking and storage performance for large-scale distributed compute systems.
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.
About KLA
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.
Total Rewards
Base Pay Range: $136,300.00 - $199,900.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Use of AI Statement
At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.
Equal Opportunity Statement
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.
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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.