Senior AI/ML Integration Engineer for CAE & HPC

General Motors; Warren (MI); Hybrid; USD 120,000 - 180,000; Full time

Job summary

General Motors is seeking a Senior Systems Engineer to lead AIML integration for CAE workflows across on‑prem and cloud HPC environments at GM IT Innovation Center (Austin, TX) and Warren, MI. You will install, configure, and integrate AIML tools with CAE apps, data platforms, and HPC clusters.

This role requires 7+ years in systems engineering, strong collaboration with CAE engineers, software developers, and data scientists, and the ability to deliver scalable, secure, and governance-compliant

Qualifications

• Bachelor’s degree in Systems Engineering, Software Engineering, Computer Science, Mechanical/Automotive Engineering, or a related technical field.
• 7+ years of experience in systems engineering and/or software integration roles, with a focus on complex, distributed or HPC-based systems.
• Hands-on experience installing, configuring, and integrating engineering or scientific software across desktop, HPC, and/or cloud environments.
• Strong background in systems engineering practices (requirements, interfaces, architecture, validation, and lifecycle management).
• Practical understanding of AI/ML concepts and patterns (e.g., model endpoints, inference services, pipelines, RAG/agentic workflows) and how they integrate into applications and workflows.
• Experience working with HPC or cloud-based compute environments (e.g., job schedulers, containers, GPU resources, monitoring and logging tools).

Responsibilities

• Lead the installation, configuration, and integration of AIML software and services into existing and new CAE workflows, including on‑prem and cloud/HPC environments.
• Integrate CAE tools, data sources, and AIML components with enterprise platforms such as HPC clusters, Azure, data lakes, and SPDM/EPDM solutions.
• Define and maintain system-level requirements, interfaces, and architecture diagrams for AIML-enabled CAE solutions, ensuring traceability and alignment with standards.
• Develop and execute installation, integration, and regression test plans to validate end-to-end CAE workflows, including performance, reliability, and security checks.
• Harden and scale AIML POCs, including packaging, deployment, monitoring, and hand-off to support teams.
• Establish and improve operational processes for AIML-enabled CAE applications (versioning, logging, observability, incident response).
• Create and maintain user guides, runbooks, and integration documentation for CAE engineers and partner IT organizations.
• Provide technical leadership and mentorship to peers and junior engineers on CAE integration patterns and deployment best practices.
• Stay current on AIML and CAE capabilities and propose pragmatic workflow improvements to reduce cycle time.

Skills

Systems Engineering

Software Integration

AI/ML concepts

Scripting (Python)

HPC/Cloud

Communication

Education

Bachelor’s degree in Systems Engineering

Master’s degree in Engineering/CS/Systems Engineering

Tools

Python

Shell scripting

CI/CD tools

HPC clusters

Azure

Job description

General Motors is seeking a Senior Systems Engineer to lead AIML integration for CAE workflows across on‑prem and cloud HPC environments at GM IT Innovation Center (Austin, TX) and Warren, MI. You will install, configure, and integrate AIML tools with CAE apps, data platforms, and HPC clusters.

This role requires 7+ years in systems engineering, strong collaboration with CAE engineers, software developers, and data scientists, and the ability to deliver scalable, secure, and governance-compliant