Job DescriptionThe 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, Google Cloud Platform), 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, Software Engineering, or a relevant engineering discipline.
- AWS, Azure, or Google Cloud Platform certification.
- Experience with GM in-house development & test automation tools and libraries.
- Familiarity with scalable simulation deployment methodologies and event-driven simulation (synchronoasynchronous).
- Familiarity with software development build processes and associated tools (Gerrit, Jenkins, Git, etc.).
- Familiarity with automotive or related industry validation testing procedures.
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 compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is 129,400 and 198,400. 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:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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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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. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.Relocation benefits are available for candidates who qualify under company policy.
About GMOur 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.
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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.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit
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