Senior Systems Engineer – CAE AIML Integration & Implementation
HybridAustin, Texas, United States or Warren, Michigan, United States
Job Summary
Lead the installation, configuration, and integration of AIML software and services into CAE workflows across on-prem, cloud, and HPC environments. Integrate CAE tools, data sources, and AIML components with enterprise platforms including Azure, data lakes, and Simulation Process and Data Management solutions. Define system-level requirements, interfaces, and architecture diagrams while developing test plans to validate end-to-end workflows for performance, reliability, and security. Partner with CAE engineers and stakeholders to harden POCs, establish operational processes for versioning and observability, and ensure compliance with GM security and responsible AI guidelines. Create user guides and runbooks to support adoption at scale. Provide technical leadership on CAE integration patterns and systems engineering best practices. This role supports GM's virtual engineering and simulation capabilities to accelerate development cycles and improve product quality.
Required 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 (e.g., CAE solvers, pre/post tools, optimization/MBSE/AI tools) 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
- Proficiency with scripting and automation (e.g., Python, shell, CI/CD tools) for installation, configuration, and validation of integrated systems
- Experience working with HPC or cloud-based compute environments (e.g., job schedulers, containers, GPU resources, monitoring and logging tools)
- Demonstrated ability to collaborate with cross-functional teams (CAE engineers, software developers, data scientists, infrastructure, cybersecurity) to deliver integrated solutions
- Excellent communication, documentation, and stakeholder-management skills; able to explain complex technical topics to diverse audiences
- Must be able to report to Austin TX IT Innovation Center or Warren Michigan 3 days per week (T-W-Th)
- Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., H-1B, TN, STEM, OPT, etc.) Now or in the future.
Desired Qualifications
- Master's degree in Engineering, Systems Engineering, Computer Science, or a related field
- Direct experience with CAE tools and workflows (e.g., structural, CFD, optimization, SPDM/EPDM) and how engineering teams run simulations in practice
- Experience integrating or deploying commercial AIML/physics-AI tools within engineering environments
- Familiarity with GM-like enterprise environments (regulated, safety-critical, or automotive) and associated security and compliance expectations
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