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Computational Modeling Simulation Multiphysics Jobs in Michigan

... physics modeling, simulation, algorithm development, and machinelearning workloads-enabling ... computational challenges! Key Responsibilities: HPC Platform Operations Operate and maintain a ...

... physics modeling, simulation, algorithm development, and machinelearning workloads-enabling ... computational challenges! Key Responsibilities: HPC Platform Operations Operate and maintain a ...

... physics modeling, simulation, algorithm development, and machine-learning workloads-enabling ... computational challenges! Key Responsibilities: HPC Platform Operations • Operate and maintain a ...

... physics modeling, simulation, algorithm development, and machinelearning workloads-enabling ... computational challenges! Key Responsibilities: HPC Platform Operations Operate and maintain a ...

Develops whole-building dynamic thermal and energy simulation models across diverse building types ... Familiarity with computational design and parametric modeling preferred * Familiarity with energy ...

... and simulation environments * Develop secure and scalable back end services for data processing, model deployment, and user management * Integrate APIs and microservices supporting computational ...

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Computational Modeling Simulation Multiphysics information

What are the key skills and qualifications needed to thrive as a Computational Modeling Simulation Multiphysics Engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are popular job titles related to Computational Modeling Simulation Multiphysics jobs in Michigan? For Computational Modeling Simulation Multiphysics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Michigan look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Michigan are:
What cities in Michigan are hiring for Computational Modeling Simulation Multiphysics jobs? Cities in Michigan with the most Computational Modeling Simulation Multiphysics job openings:
Infographic showing various Computational Modeling Simulation Multiphysics job openings in Michigan as of May 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, and 21% Remote job distribution.
HPC Systems Engineer

HPC Systems Engineer

Kla

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


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.

Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it.

Job Description/Preferred Qualifications

We're looking for a HPC Systems Engineer to help power the compute infrastructure behind our R&D innovation! In this role, you'll support and evolve a highperformance Linux cluster used for physics modeling, simulation, algorithm development, and machinelearning workloads-enabling hundreds of engineers to do their best work every day. You'll play a key role in driving the reliability, performance, and scalability of a shared, missioncritical HPC environment, partnering closely with infrastructure, DevOps, and application teams to keep the platform fast, resilient, and ready for the most demanding computational challenges!


Key Responsibilities:
HPC Platform Operations
Operate and maintain a large-scale Linux based HPC cluster used for internal R&D workloads
Manage compute nodes, login nodes, and supporting infrastructure in a multi-tenant environment
Monitor cluster health, performance, and capacity; respond to incidents and degradations
Scheduler & Workload Management
Configure, tune, and support HPC job schedulers (e.g., SLURM, LSF, PBS, or equivalent)
Assist users with job submission issues, resource requests, and queue optimization
Help optimize scheduler policies to balance throughput, fairness, and utilization
Linux Systems Engineering
Install, configure, and maintain Linux operating systems across compute and service nodes
Manage OS updates, kernel changes, drivers (including GPU drivers where applicable), and system hardening
Troubleshoot complex Linux performance, networking, storage, and process level issues
Performance & Scaling
Support high throughput and parallel workloads across CPU and GPU resources
Diagnose performance bottlenecks across compute, storage, network, and scheduler layers
Assist with scaling activities such as node expansions, re provisioning, and hardware refreshes
Automation & Reliability
Use automation and configuration management tools to ensure consistency across the cluster
Contribute to scripting and tooling for node provisioning, validation, and lifecycle management
Participate in on call or escalation rotations as required to support a production R&D platform
Collaboration & User Support
Partner with internal engineering teams to understand workload requirements and usage patterns
Provide guidance and best practices for running workloads efficiently on shared HPC systems
Contribute to internal documentation and operational runbooks

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 3+ years of handson Linux systems administration experience
  • Direct experience working with HPC or largescale compute environments
  • Practical experience with at least one HPC scheduler (SLURM, LSF, PBS, or similar)
  • Strong Linux troubleshooting skills (processes, memory, I/O, networking, performance analysis)
  • Comfort working in CLIdriven, production infrastructure environments

Preferred:

  • Experience supporting GPUaccelerated workloads (CUDA, drivers, GPU scheduling concepts)
  • Familiarity with parallel computing or scientific/engineering workloads
  • Experience with cluster storage systems (e.g., Lustre, BeeGFS, NFS, or highperformance NAS/SAN)
  • Exposure to automation tools (Ansible, scripting, InfrastructureasCode concepts)
  • Familiarity with containers in HPC contexts (Singularity / Apptainer, rootless containers)
  • Experience supporting internal developer or research communities

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 attalent.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.