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High Performance Computing Jobs in Michigan (NOW HIRING)

... and high-performance computing infrastructure in close partnership with Deloitte AI specialists and our ecosystem partners. You will shape end-to-end solutions-from discovery and reference ...

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High Performance Computing information

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$34.9K

$86.7K

$133.8K

How much do high performance computing jobs pay per year?

As of Sep 12, 2026, the average yearly pay for high performance computing in Michigan is $86,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $109,800.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are the most commonly searched types of High Performance Computing jobs in Michigan?

The most popular types of High Performance Computing jobs in Michigan are:

What are popular job titles related to High Performance Computing jobs in Michigan?

For High Performance Computing jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching High Performance Computing jobs in Michigan look for?

The top searched job categories for High Performance Computing jobs in Michigan are:

Infographic showing various High Performance Computing job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $86,748 per year, or $41.7 per hour.

High Performance Compute (HPC) Software Engineer - HPC SW Systems

Ann Arbor, MI

Orbotech
Manufacturing • 1 - 5K employees

$105K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

Key Responsibilities

HPC Software Engineering

Design, develop, and optimize HPC software running on large-scale Linux clusters, including distributed and parallel workloads (MPI, multithreading, GPU-accelerated pipelines, containerized workloads).

Optimize application performance and power utilization across CPU, memory, storage, and network subsystem, with attention to throughput, latency, and scaling behavior.

Develop and maintain system-level tooling for cluster bring-up, diagnostics, monitoring including component power usages, and health checks.

Work closely with algorithms, systems and application teams to understand and translate workload characteristics into power-efficient HPC software solutions.

HPC Systems & Hardware Awareness

Collaborate with hardware and systems teams to define HPC node, storage, and interconnect requirements based on software and algorithm needs.

Understand and influence CPU/GPU selection, memory sizing, PCIe layout, NUMA behavior, and network topology to ensure optimal software performance.

Participate in HW/SW co-debug activities, including performance bottlenecks, stability issues, and failure analysis.

Rack & Infrastructure Engineering

Understand rack-level integration of HPC systems, focusing on power, cooling, cabling, networking, and physical layout considerations.

Understand data-center and lab constraints such as power budgets, thermal limits, network drops, and serviceability.

Contribute to best practices, and design reviews for new platforms and refresh cycles.

Cross-Functional Collaboration

Act as a technical bridge between software, hardware, systems teams.

Provide clear technical documentation covering software and system architecture, deployment flows, performance assumptions.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.

Strong experience developing HPC or systems software on Linux.

Proficiency in Java and/or C++ and/or other system-level or performance-oriented languages.

Hands-on experience with parallel computing (MPI, OpenMP, multithreading). Candidates with GPU computing (CUDA, ROCm, or equivalent) would be preferred.

Solid understanding of HPC hardware fundamentals: CPUs, memory hierarchies, storage, networking (Ethernet / InfiniBand).

Practical experience working with clusters, servers, or rack-scale systems in lab or production environments.

Strong debugging skills across software, OS, and hardware boundaries.

Preferred Qualifications

Experience with containerized HPC environments (Docker, Singularity/Apptainer, Kubernetes in HPC contexts).

Familiarity with high-speed interconnects, storage architectures, and performance benchmarking.

Exposure to rack integration, including cabling, power distribution, cooling, and system bring-up.

Experience in semiconductor, manufacturing, or high-reliability systems environments.

Ability to reason about system reliability, MTBF/MTBA, and failure modes in large compute installations.

What Makes This Role Unique at KLA

Work on mission-critical HPC platforms that directly impact semiconductor manufacturing capability.

Influence both software architecture and physical system design, not just code in isolation.

Collaborate with world-class experts across algorithms, hardware, systems, and operations.

See your work deployed at scale in real production tools-not just in the data center.

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

Base Pay Range: $105,900.00 - $180,000.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA'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.

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.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.