Staff Software Engineer – Virtualization Platform

GM•Milford, MI

10d•Hybrid

About The Position

We are seeking experienced and motivated candidates for the role of Staff Software Engineer – Virtualization Platform as part of the Virtualization Platform & Automation team in VSEE. Our mission is to develop tools, platforms, and virtual automation capabilities that accelerate infrastructure and application software development, enable co-simulation in cloud-based virtualization environments, and support automated validation workflows within a larger CI/CD framework. As a Staff Software Engineer, you will work across organizational boundaries to design, deploy, and sustain scalable cloud applications and automation solutions that support embedded software development for VIP and SDV programs. You will serve as a subject matter expert for GM’s industry-leading SOLE virtualization platform, ensuring that platforms meet technical, scalability, cybersecurity, and commercial requirements for infrastructure and application software development.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a relevant engineering discipline.
10+ years of experience in cloud applications, virtualization, co-simulation, embedded software development, test automation, or validation roles.
Expertise in programming languages such as C, C++, Python, Java, SystemC, Quarkus, and CAPL.
Working knowledge of cloud platforms (Azure, AWS, GCP), containerization, and orchestration tools (Docker, Kubernetes, ECS, Singularity).
Working knowledge of embedded control system test automation and co-simulation integration/execution.
Hands-on experience with automotive development tools (Vector CANape/CANoe, dSpace SystemDesk, VEOS, AutoVal, Intrepid Vehicle Spy).
Hands-on experience with Jenkins and GitHub Actions for automation.
Demonstrated success in leading complex projects with high levels of ambiguity to completion.
Excellent communication skills and consistent demonstration of leadership competencies.

Nice To Haves

Master’s degree or PhD in Computer Science, Software Engineering, or a relevant engineering discipline.
AWS, Azure, or GCP certification.
Experience with GM in-house test automation tools and libraries.
Familiarity with scalable simulation deployment methodologies and event-driven simulation (synchronous/asynchronous).
Familiarity with software development build processes and associated tools (Gerrit, Jenkins, Git, etc.).
Familiarity with automotive or related industry validation testing procedures.

Responsibilities

Act as a virtualization platform architect, balancing functional requirements—supporting embedded software development—with operational requirements such as cloud scalability, cybersecurity, and cost optimization.
Lead and partner with cross-functional teams to define and document requirements for cloud applications, virtualization platforms, and automation capabilities.
Collaborate with suppliers, simulation integration teams, and internal process partners to develop and maintain virtualization capabilities that support software readiness milestones.
Develop innovative methods to automate deployment, execution, and maintenance of co-simulation environments in the cloud.
Design and integrate automation workflows to support component, subsystem, and vehicle-level regression testing.
Serve as a subject matter expert in cloud applications, virtualization capabilities, and test automation across the organization.
Lead integration and deployment of automation capabilities within CI/CD frameworks.
Provide updates, technical demonstrations, and live presentations to leadership and external organizations.

Benefits

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