Staff Solutions Architect –Virtual Cloud Platform

Job Description

The Role

We are seeking an experienced and motivated Solutions Architect 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 Level 8 Solution Architect you will serve as the primary technical owner for the architecture and design of GMs industry-leading SOLE virtualization platform. You will define and evolve platform architecture ensure alignment to enterprise standards and drive non-functional requirements such as scalability resiliency cybersecurity and cost efficiency. You will also provide execution leadership and technical oversight for implementation teams staying hands-on with prototyping critical-path development and deep technical reviews.

This is an individual contributor role with heavy technical leadership and influence but no direct people management responsibilities.

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. Were turning todays impossible into tomorrows 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 peopleas we aim to makedriving safer smarter and more connected shaping the future of transportation on a global scale.

What Youll Do (Responsibilities):

• Own and evolve the end-to-end architecture for the SOLE virtualization platform balancing functional requirements for embedded software development with operational requirements such as cloud scalability cybersecurity resiliency availability and cost optimization.
• Define and maintain target-state architecture reference architectures and architectural roadmaps for SOLE including multi-region deployment disaster recovery and high-availability strategies.
• Lead architecture and design for new SOLE capabilities services and integrations including event-driven and asynchronous workflows that support large-scale simulation and validation workloads.
• Partner with product management engineering leads and stakeholders across VIP SDV and other programs to translate business and engineering needs into clear architectural patterns epics and technical requirements.
• Serve as the primary architecture point of contact and subject matter expert for SOLE representing the platform in cross-functional forums design reviews and enterprise architecture discussions.
• Provide technical oversight guidance and design review for implementation teams delivering SOLE capabilities and integrations ensuring alignment to architecture security and quality standards.
• Stay hands-on by:
  • Designing and implementing reference implementations POCs and critical-path platform components.
  • Contributing code and automation for SOLE services infrastructure-as-code pipelines and co-simulation workflows.
  • Performing deep technical debugging and performance tuning across microservices infrastructure and data paths.
• Define and enforce architecture and design governance for SOLE including patterns guardrails and decision records (ADR-style) that improve consistency and long-term maintainability.
• Lead and partner with cross-functional teams to define and document requirements for cloud applications virtualization platforms and automation capabilities that integrate with SOLE.
• Collaborate with suppliers simulation integration teams and internal process partners to develop and maintain virtualization capabilities that support software readiness milestones across component subsystem and vehicle levels.
• Design and integrate automation workflows to support component subsystem and vehicle-level regression testing in cloud-based co-simulation environments.
• Lead integration and deployment of automation capabilities within CI/CD frameworks (e.g. Jenkins GitHub Actions) ensuring that SOLE is a first-class citizen in GMs software delivery pipelines.
• Partner with cybersecurity infrastructure and compliance teams to ensure SOLE architecture and implementations meet GM security privacy and regulatory requirements.
• Mentor and influence engineers and technical leads across teams raising the overall bar for cloud architecture virtualization and test automation practices.
• Provide updates technical demonstrations and live presentations to leadership and external organizations effectively communicating architecture roadmap and platform value.

Yours Skills & Abilities (Required Qualifications):

• Bachelors 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.
• Demonstrated experience serving as a solution architect technical lead or platform owner for complex cloud-hosted platforms or large-scale simulation/automation environments.
• Strong expertise in programming languages such as C C Python Java SystemC Quarkus SpringBoot Micronaut and CAPL with the ability to remain hands-on for critical-path components and prototypes.
• Working knowledge of cloud platforms (Azure AWS GCP) containerization and orchestration tools (Docker Kubernetes ECS Singularity).
• Hands-on experience with Terraform and Bicep or similar infrastructure-as-code tools.
• Multi-region cloud experience: designing and managing multi-region infrastructure for high availability resiliency disaster recovery and scalable service delivery.
• Experience with messaging and event-driven technologies such as Azure Service Bus Azure Event Grid and Azure Event Hubs for building scalable asynchronous event-driven integrations.
• Working knowledge of embedded control system test automation and co-simulation integration/execution.
• Hands-on experience with automotive development tools (e.g. Vector CANape/CANoe dSpace SystemDesk VEOS AutoVal Intrepid Vehicle Spy).
• Hands-on experience with Jenkins and GitHub Actions for automation and CI/CD.
• Demonstrated success in leading complex high-ambiguity technical initiatives to completion including defining architecture aligning stakeholders and guiding teams through delivery.
• Excellent communication skills and consistent demonstration of leadership competencies with the ability to influence without direct authority across multiple organizations.

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

• Masters degree or PhD in Computer Science Software Engineering or a relevant engineering discipline.
• AWS Azure or GCP certification.
• Experience with GM in-house development and test automation tools and libraries.
• Experience architecting or operating large-scale virtualization co-simulation or hardware-in-the-loop (HIL)-like environments in the cloud.
• 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.
• Experience defining and maintaining architecture decision records (ADRs) roadmaps and standards for platforms that support multiple programs and products.
• Proven ability to coach and mentor senior engineers and lead architecture forums design reviews or guilds focused on cloud virtualization and test automation.

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 189300 to. 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

Company vehicle: Upon successful completion of a motor vehicle report review you will be eligible to participate in a company vehicle evaluation program though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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