Entry Level Hpc Engineer Jobs
New grad hpc engineer jobs attract recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a lengthy resume. Most openings are on-site roles across Technology & Software, Manufacturing, and Science & Research, with employers like KLA, Axle, and OpenAI hiring at this level now.
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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.
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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Entry Level Hpc Engineer Jobs: Frequently Asked Questions
How do I get an entry level hpc engineer job?
Entry level hpc engineer roles typically look for candidates who can demonstrate hands-on experience with parallel computing, MPI, OpenMP, or GPU programming through coursework, personal projects, or internships. A GitHub portfolio showing cluster simulations or performance optimization work gives you a concrete edge. Familiarity with Linux environments and job schedulers like Slurm or PBS is a common baseline expectation even for new grad positions.
Which companies hire entry level hpc engineers?
Companies hiring entry level hpc engineers right now include KLA, Axle, and OpenAI, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers national laboratories, defense contractors, cloud infrastructure providers, and research universities that run large-scale computational workloads.
Are there remote entry level hpc engineer jobs?
Yes, though most entry level hpc engineer roles are on-site given the hands-on nature of working with physical clusters and specialized hardware. About 0% of entry level hpc engineer openings are remote or hybrid as of September 2026, and those positions tend to appear more frequently at cloud-focused employers and software-defined infrastructure teams.
Are these new grad hpc engineer jobs?
Yes, these listings include new grad, recent graduate, and junior hpc engineer roles. A posting is generally new-grad friendly when it welcomes zero to two years of experience, counts internships or co-ops toward the requirement, or explicitly accepts a strong academic project portfolio in place of full-time work history. Look for language like 'entry level,' 'junior,' or 'new graduate' in the description.
Which industries hire the most entry level hpc engineers?
Entry Level hpc engineer roles concentrate in Technology & Software, Manufacturing, and Science & Research, based on current listings on Migrate Mate as of September 2026. Those sectors drive hiring at this level because they rely on large-scale parallel computing for simulation, modeling, and data-intensive research that requires dedicated infrastructure talent even at the junior tier.