Senior Software Engineer – Virtual Cloud Platform

Job Description

The Role:

We are seeking experienced and motivated candidates for the role of Senior Software Engineer – Virtual Cloud Platform as part of the Virtualization & Embedded Software Development Tools (VEST) 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 Senior Software Engineer, you will work across organizational boundaries to design, develop, 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.

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

What You’ll Do (Responsibilities):

• Act as a virtual cloud 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.

Yours Skills & Abilities (Required Qualifications):

• 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.
• Strong Expertise in programming languages such as C, C++, Python, Java, SystemC, Quarkus, SpringBoot, Micronut and CAPL.
• Working knowledge of cloud platforms (Azure, AWS, GCP), containerization, and orchestration tools (Docker, Kubernetes, ECS, Singularity).
• Working experience with Terraform and Bicep.
• Multi-Region Cloud Experience: Hands-on experience designing and managing multi-region infrastructure for high availability, resiliency, disaster recovery, and scalable service delivery.
• Messaging & Event-Driven Technologies: Experience with Azure Service Bus, Azure Event Grid, and Azure Event Hubs for building scalable, asynchronous, event-driven integrations.
• Experience using GitHub Copilot, Cursor, Glean, Microsoft 365 Copilot / Copilot Chat, with familiarity with Claude-based coding workflows and pilot-stage tooling.
• 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.

What Can Give You a Competitive Edge (Preferred Qualifications):

• Master’s degree or PhD in Computer Science