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High Performance Computing Hpc Jobs in Michigan (NOW HIRING)

POSITION SUMMARY Owns the end-to-end success of Zoetis' VMRD High Performance Computing (HPC) environment as both a product and a platform: sets vision and roadmap, defines service offerings and ...

POSITION SUMMARY Owns the end-to-end success of Zoetis' VMRD High Performance Computing (HPC) environment as both a product and a platform: sets vision and roadmap, defines service offerings and ...

... 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 ...

... and high-performance computing. We are looking for a hands-on technical leader to architect and ... Lead the architecture and development of large-scale HPC and AI infrastructure supporting cutting ...

Showing results 21-40

High Performance Computing Hpc information

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

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

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

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

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

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

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

Infographic showing various High Performance Computing Hpc job openings in Michigan as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

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

Ann Arbor, MI • On-site

$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.