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High Performance Computing Hpc Jobs in Michigan (NOW HIRING)

Zoetis, Inc.

HPC Platform Product Lead

Kalamazoo, MI · On-site

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 ...

Abaxis

HPC Platform Product Lead

Portage, MI · On-site +1

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 ...

KLA

HPC / AI Software Infrastructure Lead (E)

Ann Arbor, MI · On-site

$151K - $256K/yr

... 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 ...

General Motors

Lead Platform Management Engineer

Warren, MI · On-site

$96K - $126K/yr

The Role The Infrastructure Platforms organization, that provides foundational technology platforms and services to enable innovation throughout GM IT, is pursuing a High Performance Computing (HPC ...

General Motors

Lead Platform Management Engineer

Warren, MI · On-site

$96K - $126K/yr

The Role The Infrastructure Platforms organization, that provides foundational technology platforms and services to enable innovation throughout GM IT, is pursuing a High Performance Computing (HPC ...

Stellantis

HMI, Devops and Automation Lead

Auburn Hills, MI · On-site

$50 - $68.50/hr

Experience with High-Performance Computing (HPC) environments, including large-scale simulation execution, job scheduling, and performance optimization. * Full-stack development experience, including ...

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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:

High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Staff MPU Triage and Automation Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

We are seeking a Staff MPU Triage and Automation Engineer responsible for triaging, debugging, root cause analysis, and automation of software issues on automotive High Performance Computing (HPC) platforms running Android and QNX on Qualcomm-based, hypervisor-enabled architectures.
The engineer will serve as a technical leader for issue investigation across Android, QNX, Hypervisor, BSP, Middleware, Applications, Connectivity, and Vehicle Interface domains. The role involves identifying fault ownership, driving cross-functional problem resolution, improving engineering efficiency through automation, and developing AI-assisted solutions to accelerate debugging, validation, and testing activities.
The engineer will collaborate with platform, BSP, middleware, validation, integration, and supplier teams to improve software quality, reduce issue resolution time, and support the delivery of reliable and production-ready vehicle software.
Key Responsibilities:
  • Analyze, triage, and reproduce software issues across Android, QNX, Hypervisor, BSP, Middleware, Drivers, and Application layers.
  • Investigate system logs, traces, crash dumps, watchdog resets, boot failures, memory leaks, performance issues, and communication failures.
  • Identify the probable fault domain and route issues to the appropriate software, hardware, platform, validation, or supplier teams.
  • Drive root cause analysis activities and track issues through closure and verification.
  • Debug cross-domain interactions between Android, QNX, Hypervisor, middleware services, and shared hardware resources.
  • Support software integration, validation, and release activities across multiple vehicle programs.
  • Develop automation tools using Python, Shell scripting, and similar technologies for log collection, analysis, issue classification, testing, and reporting.
  • Build dashboards and automated workflows to improve triage efficiency, defect tracking, and engineering productivity.
  • Develop and maintain troubleshooting guides, known issue databases, and debugging procedures.
  • Leverage GitHub Copilot, Microsoft Copilot, Claude, and other AI-assisted development tools to improve debugging, automation, documentation, and test generation.
  • Develop AI agents, reusable skills, prompts, and workflows to automate engineering and triage activities.
  • Validate AI-generated code and technical outputs for correctness, security, maintainability, and compliance.
  • Contribute to CI/CD pipelines, software quality initiatives, and continuous integration activities.
  • Provide technical leadership for triage, debugging, and automation activities across automotive HPC platforms.
  • Mentor engineers, lead technical reviews, establish debugging best practices, and drive continuous improvement initiatives across the organization.
  • Collaborate effectively with internal engineering teams, suppliers, and cross-functional stakeholders to resolve complex system-level issues.

Basic Qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Minimum 8 years of experience in Embedded Software Development, System Integration, Validation, or Software Debugging.
  • Experience working with Android and QNX embedded platforms.
  • Strong understanding of automotive software architecture, BSPs, middleware, device drivers, and platform software.
  • Experience debugging complex software issues across multiple software domains.
  • Strong knowledge of operating system fundamentals, processes, threads, memory management, and system-level debugging.
  • Proficiency in C/C++, Python, and Shell scripting.
  • Strong experience with Linux-based development environments.
  • Experience analyzing logs, crash dumps, memory leaks, watchdog resets, boot failures, and performance bottlenecks.
  • Experience with Git, CI/CD pipelines, and software release processes.
  • Knowledge of automotive communication protocols including CAN, Ethernet, SOME/IP, TCP/IP, UDP, and diagnostics.
  • Experience working with automotive SoCs and High Performance Computing (HPC) platforms.
  • Strong root cause analysis, problem-solving, and debugging skills.
  • Strong communication, collaboration, and technical leadership skills.

Preferred Qualifications:
  • Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Experience with Qualcomm Snapdragon automotive platforms.
  • Experience working with hypervisors, virtualization technologies, and multi-OS architectures.
  • Experience debugging Android-QNX communication, shared resources, virtualization, networking, audio, graphics, storage, or vehicle interface issues.
  • Experience with automotive infotainment, digital cockpit, ADAS, or HPC vehicle compute platforms.
  • Experience with CAN, Ethernet, SOME/IP, diagnostics, flashing, HIL, and vehicle integration activities.
  • Experience developing automation frameworks, triage dashboards, and engineering productivity tools.
  • Hands-on experience with GitHub Copilot, Microsoft Copilot, Claude, or similar AI development platforms.
  • Familiarity with AI agents, prompt engineering, agentic AI workflows, and tool integration.
  • Experience integrating AI solutions with GitHub, Jira, CI/CD pipelines, dashboards, and internal engineering platforms.
  • Understanding of functional safety (ISO 26262) and automotive cybersecurity (ISO/SAE 21434).
  • Experience leading technical initiatives across global engineering organizations and supplier teams.

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