Senior Software Developer - Virtualization, SIL, and AI‑Enablement

Job Overview

As a Senior Software Developer, you will build the software that powers GM’s virtual development environments, SIL workflows, and AI‑enhanced simulation capabilities. Your strengths in automation, embedded systems, and problem‑solving will be expanded to cloud, data, ML fundamentals, and large‑scale simulation architecture.

Work Arrangement

This hybrid role requires the successful candidate to report to the office at least three days per week.

Responsibilities

• Develop backend services supporting virtual ECUs, simulation orchestration, and model execution.
• Build tools for SIL workflows, including scenario execution, data capture, and automation.
• Integrate AI/ML components into simulation or validation pipelines.
• Design APIs for simulation control, artifact management, and orchestration.
• Optimize performance for compute‑intensive workloads.
• Collaborate with DevOps and simulation teams to ensure seamless integration.
• Contribute to CI/CD workflows for simulation and AI components.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
• 7+ years of relevant experience in software development, simulation, or embedded systems.
• Strong programming skills in Python, C++, C#, or Java.
• Experience with simulation or virtualization (vECUs, FMUs, SIL).
• Understanding of cloud services and distributed systems.
• Experience with CLI‑based architecture for tools design.
• Knowledge of MCP‑based architecture for AI tools design.
• Experience with databases for simulation metadata and results.
• Optional AI Skills:
  • ML lifecycle basics
  • Vector search or embeddings
  • Model integration

Preferred Qualifications

• Experience with microservices for simulation orchestration.
• Knowledge of Kubernetes for running compute workloads.
• Performance tuning expertise for simulation or AI pipelines.
• Experience with automotive data and domain modeling.
• Experience with ontology‑based engineering processes and architecture frameworks.
• Advanced knowledge of ontology technologies and design patterns (OWL, RDF, SPARQL, automated reasoning).

Compensation

The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Benefits Overview

• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental, and adoption leave.
• Healthcare, dental, and vision benefits.
• Life insurance plans to cover you and your family.
• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
• GM Vehicle Purchase Plan for you, your family, and friends.

Non‑Discrimination and Equal Employment Opportunities

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.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at View phone number on ca.talent.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Immigration Sponsorship

GM DOES NOT PROVIDE IMMIGRATION‑RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.