Staff Software Engineer – AI-Driven Simulation Platform

General Motors; United States; Remote; USD 189,000 - 291,000; Full time

Benefits offered by this job

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

Job summary

General Motors is seeking a Staff Software Engineer to define architecture for a next‑generation virtual development platform. You will shape SIL orchestration, AI-enhanced simulation, data flows, and cloud-native compute to scale vECUs, FMUs, and SIL workloads across domains.

You’ll leverage automation, embedded systems, and debugging strengths while expanding into cloud orchestration, IaC, ML workflows, and distributed simulation. Hybrid or on-site work options may apply.

Qualifications

• Bachelor’s degree in Engineering, CS, or related field.
• 10+ years 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 and MPC-based AI tool design.
• Ontology-based system design experience.
• AI/ML integration for simulation or data workflows.
• Data engineering and storage patterns.
• Kubernetes and container orchestration experience.

Responsibilities

• Architect distributed simulation systems for vECUs, FMUs, and SIL/MIL workloads.
• Define AI-enabled simulation patterns including scenario generation, model-based inference, and data pipelines.
• Design cloud-native compute platforms optimized for large-scale parallel, 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.

Skills

Distributed systems

Backend engineering

AI/ML integration

Cloud computing

CLI-based architecture

Ontology-based design

Data engineering

V virtualization

SIL/MIL knowledge

Kubernetes

Education

Bachelor’s degree or higher in Engineering/CS

Tools

Kubernetes

Job description

General Motors is seeking a Staff Software Engineer to define architecture for a next‑generation virtual development platform. You will shape SIL orchestration, AI-enhanced simulation, data flows, and cloud-native compute to scale vECUs, FMUs, and SIL workloads across domains.

You’ll leverage automation, embedded systems, and debugging strengths while expanding into cloud orchestration, IaC, ML workflows, and distributed simulation. Hybrid or on-site work options may apply.