Staff Software Engineer– AI Enablement

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

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 MPC‑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 range 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

• 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

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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