Staff Software Engineer- AI Enablement

**Job Description****The Team:**The CoSim Infrastructure, Quality, and Scalability team, within GM’s Virtualization and SIL Integration organization, builds the foundational software, automation, and integration capabilities that make virtual ECUs and co-simulation environments reliable, reusable, and scalable across vehicle domains. The team develops and evolves CoSim/SIL infrastructure—including SoftECU and FMI-based capabilities, RestBus and SIMETH connectivity, HWIO and calibration enablement, build and CI/CD pipelines, and automated quality gates—while improving package consistency, test coverage, observability, and defect triage. Their work enables engineering, calibration, and verification teams to validate embedded-platform software earlier and with greater confidence, supporting daily regression testing as well as complex, multi-variant, multi-domain virtual validation. Within the broader Virtualization and SIL Integration organization, the team collaborates closely with domain teams to deliver high-fidelity virtual environments and advance GM’s software-defined vehicle development process. **The Role:**As a **Staff Software Engineer**, you will define the architecture for GM’s next‐generation virtual development platform, including SIL orchestration, AI‐enhanced simulation, data flows, and cloud‐native compute. You’ll build on your strengths in automation, embedded systems, and debugging while expanding into cloud orchestration, IaC, ML workflows, and distributed simulation systems. **What You’ll Do (Responsibilities):*** Architect distributed simulation systems for vECUs, FMUs, and SIL/MIL workloads, ensuring scalable execution across heterogeneous environments.* Define AI ‐ enabled simulation patterns including scenario generation, model‐based inference, and data pipelines.* Design cloud ‐ native compute platforms optimized for large‐scale parallel, and elastically scalable simulation workloads.* Establish API and service architecture for orchestration and data management.* Guide CI/CD integration for simulation and AI components.* Mentor developers and influence technical direction across teams.* Ensure security, observability, and reliability across the platform.**Your Skills & Abilities (Required Qualifications):*** Bachelor’s degree (or higher) in Engineering, Computer Science, or related field.* 10+ years of relevant experience in software architecture, simulation, or distributed systems.* Expertise in backend and distributed systems.* Experience with virtualization and simulation (vECUs, FMUs, SIL).* Strong cloud architecture skills.* Experience with CLI-based architecture and MCP-based architecture for AI tools design.* Experience with ontology-based system design and architecture.* AI/ML integration experience for simulation or data workflows.* Knowledge of data engineering and storage patterns.* Experience with Kubernetes and container orchestration.**What Will Give You a Competitive Edge (Preferred Qualifications):*** Experience designing simulation platforms at enterprise scale.* Knowledge of automotive domain modeling and ontology.* Experience with event ‐ driven architectures for simulation workflows.* Experience with Agentic AI architecture and multi-agent coordination.* Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning)* Advanced ML workflow experience (feature stores, model serving, vector DBs). **Company Vehicle**Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. **Compensation**The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary rang**e** for this role is $189,300 and $290,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. **Bonus Potential**An incentive pay program offers payouts based on company performance, job level, and individual performance.**Benefits**GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #LI-DH2This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.Relocation benefits are available for candidates who qualify under company policy. #J-18808-Ljbffr General Motors