Senior Systems Engineer – CAE AIML Integration & Implementation
Core
Lead the implementation, integration, and operationalization of AI/Machine Learning (AIML) solutions for GM's virtual engineering and simulation (CAE) capabilities.
Role type
Senior Systems Engineer (AIML Integration & Implementation)
Builds
Production-ready AIML-enabled CAE workflows, tools, and data ecosystems for engineering teams.
Domain
Automotive engineering, High-Performance Computing (HPC), Cloud, AI/ML integration
Deliverable
production ML models | product features | infrastructure
Required skills
Systems engineering lifecycle management, HPC/cloud environment integration, AIML solution deployment, scripting and automation, cross-functional collaboration, technical documentation, stakeholder management
Preferred skills
CAE tools and workflows expertise, commercial AIML/physics-AI tool integration, regulated enterprise environment experience
Technologies
HPC clusters, Azure, data lakes, Simulation Process and Data Management solutions, Python, shell, CI/CD tools, containers, GPU resources
Responsibilities
Install, configure, and integrate AIML software into CAE workflows; Define system-level requirements and architecture for AIML-enabled solutions; Develop and execute test plans for end-to-end CAE workflows; Partner with stakeholders to scale AIML POCs; Establish operational processes for AIML applications; Create user guides and integration documentation; Provide technical leadership and mentorship to peers.
Seniority
Senior, hands-on IC with mentorship responsibilities
