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High Performance Computing Engineer Jobs in Michigan

... computing (CUDA, ROCm) and modern AI frameworks (PyTorch, TensorFlow, etc.) * Familiarity with high-performance storage systems, networking, and data pipelines * Strong foundation in CI/CD, DevOps, ...

These semi sophisticated products which include robotics, high performance and distributed computing, data analytics and machine control. Job Responsibilities : * As a Senior Engineer, drive the ...

These semi sophisticated products which include robotics, high performance and distributed computing, data analytics and machine control. Job Responsibilities : * As a Senior Engineer, drive the ...

Lead Platform Management Engineer

Warren, MI ยท On-site

$96K - $126K/yr

... High Performance Computing (HPC) Platform Engineer to support a complex server & storage ... environment. The HPC team is a dynamic and fast paced group of professionals that designs, develops ...

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High Performance Computing Engineer information

See Michigan salary details

$9

$52

$85

How much do high performance computing engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for high performance computing engineer in Michigan is $52.39, according to ZipRecruiter salary data. Most workers in this role earn between $42.93 and $59.28 per hour, depending on experience, location, and employer.

What is a high performance computing engineer?

A High Performance Computing (HPC) Engineer is a specialist who designs, builds, and maintains advanced computing systems that deliver exceptional processing power for complex computational tasks. These professionals optimize hardware and software environments to support scientific research, large-scale simulations, and data-intensive applications. They work with supercomputers, clusters, and cloud HPC resources, ensuring high efficiency, scalability, and reliability. HPC Engineers also support researchers and organizations in maximizing the performance of their computing infrastructure.

What are the key skills and qualifications needed to thrive as a high performance computing engineer?

To thrive as a High Performance Computing (HPC) Engineer, you need a strong background in computer science, parallel programming, and distributed systems, typically supported by a relevant degree. Familiarity with HPC clusters, Linux/Unix environments, programming languages like C/C++ or Python, and tools such as MPI, OpenMP, and job schedulers is essential. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for optimizing system performance and collaborating with researchers or end-users. These abilities ensure efficient computational solutions, maximize resource utilization, and drive innovation in data-intensive scientific or engineering projects.

What are some common challenges high performance computing engineers face when optimizing system performance?

High Performance Computing Engineers often encounter challenges such as balancing resource allocation, managing workload distribution, and minimizing system bottlenecks. They must ensure that hardware and software components interact efficiently, which can require deep knowledge of parallel computing, networking, and storage systems. Additionally, staying up-to-date with rapidly evolving technologies and troubleshooting complex performance issues are integral parts of the role. Collaborating closely with researchers and IT teams is essential to tailor solutions that meet specific computational needs.

What is the difference between High Performance Computing Engineer vs Data Scientist?

AspectHigh Performance Computing EngineerData Scientist
Required CredentialsBachelor's or master's in computer science, engineering, or related fields; knowledge of parallel computingBachelor's or master's in data science, statistics, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, tech companies, supercomputing centersBusiness, tech firms, research institutions
Industry UsageSupercomputing, scientific research, simulationsData analysis, machine learning, predictive modeling

High Performance Computing Engineers focus on developing and optimizing large-scale computing systems for scientific and technical applications, while Data Scientists analyze data to extract insights. Both roles require programming skills and work in tech-driven environments, but their core objectives differ: system performance versus data analysis.

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

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

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

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

Infographic showing various High Performance Computing Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, 2% Temporary, 3% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,966 per year, or $52.4 per hour.

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

KLA

Ann Arbor, MI โ€ข On-site

$105K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


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 Annually
Primary Location: USA-MI-Ann Arbor-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.
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 or at +1- 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 to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.