Senior Software Engineer – Virtual Cloud Platform

General Motors

. Act as a virtual cloud platform architect balancing embedded software development requirements with cloud scalability, cybersecurity, and cost optimization .

Posted 9/29/2026full-timeUnited StatesSenior💰 $129,400 - $198,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud applications, virtualization capabilities, and test automation, with a strong focus on designing and managing scalable, high-availability infrastructure. Proven ability to lead cross-functional teams and deliver complex projects in cloud environments while ensuring cybersecurity and cost optimization.

Highest-signal resume keywords

Cloud Applications ExpertiseTest Automation ProficiencyC/C++ and Python ProgrammingCI/CD Framework IntegrationVirtualization Platform Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CC++PythonJavaSystemCQuarkusSpringBootMicronutCAPLTest Automation

Soft Skills

Excellent Communication SkillsLeadership Competencies

Tools & Technologies

AzureAWSGCPDockerKubernetesTerraformBicepJenkinsGitHub ActionsVector CANape/CANoe

Certifications & Qualifications

AWS CertificationAzure CertificationGCP Certification

Industry Keywords

Embedded Software DevelopmentCo-SimulationVirtualizationAutomotive Validation TestingDisaster Recovery

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformJavaJenkinsKubernetesPythonSpring BootSpringBootTerraformC++

About the role

Key responsibilities & impact

Act as a virtual cloud platform architect balancing embedded software development requirements with 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 supporting software readiness milestones
Develop methods to automate deployment, execution, and maintenance of cloud-based co-simulation environments
Design and integrate automation workflows for component, subsystem, and vehicle-level regression testing
Serve as a subject matter expert in cloud applications, virtualization capabilities, and test automation
Lead integration and deployment of automation capabilities within CI/CD frameworks
Provide updates, technical demonstrations, and live presentations to leadership and external organizations

Requirements

What you’ll need

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 C, C++, Python, Java, SystemC, Quarkus, SpringBoot, Micronut, and CAPL
Working knowledge of Azure, AWS, GCP, Docker, Kubernetes, ECS, and Singularity
Working experience with Terraform and Bicep
Hands-on experience designing and managing multi-region infrastructure for high availability, resiliency, disaster recovery, and scalable service delivery
Experience with Azure Service Bus, Azure Event Grid, and Azure Event Hubs
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 Vector CANape/CANoe, dSpace SystemDesk, VEOS, AutoVal, and Intrepid Vehicle Spy
Hands-on experience with Jenkins and GitHub Actions
Demonstrated success leading complex projects with high levels of ambiguity to completion
Excellent communication skills and consistent demonstration of leadership competencies
GM does not provide immigration-related sponsorship; applicants must not require GM immigration sponsorship now or in the future
Preferred: Master’s degree or PhD, AWS/Azure/GCP certification, GM in-house development and test automation tools, scalable simulation deployment methodologies, event-driven simulation, build processes and tools, and automotive or related industry validation testing procedures

Benefits

Comp & perks

Medical, dental, and vision benefits
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Bonus potential through an incentive pay program based on company, job-level, and individual performance
Relocation benefits for candidates who qualify under company policy