Jobs at General Motors

Leads the design and operation of reliable, scalable, observable cloud-native data platforms supporting vehicle telemetry and ingestion. Responsibilities include production readiness, CI/CD, SLOs, monitoring, incident response, automation, AI workflow evaluation, post-incident improvements, customer partnership, technical direction, and mentoring. The role requires hands-on programming, cloud infrastructure, observability, GitOps, and high-scale systems expertise, with participation in a weekly on-call rotation.

Leads a software engineering team responsible for vehicle data platform components across Android, Linux, and QNX. Oversees hiring, architecture, delivery, testing, releases, field support, reliability, telemetry, incident response, and technical direction. Partners with cloud, cybersecurity, privacy, platform, and application teams to deliver scalable software on resource-constrained vehicle ECUs and manage data flows to the cloud.

Lead ADAS infrastructure validation and software test engineering across open-loop, HIL, and SIL environments. Develop test plans, automation, validation roadmaps, and compliance testing for communication, diagnostics, cybersecurity, OTA, and vehicle safety. Coordinate cross-functional teams, manage validation projects and readiness, analyze requirements and defects, prioritize sprint testing, report results, and drive testing best practices and continuous improvement. The role requires extensive black-box testing, test automation, automotive protocols, and ADAS controller validation experience.

Leads modernization of large-scale embedded software test systems for software-defined vehicles. Defines architecture, automation, test execution, configuration and variation management, traceability, quality gates, regression strategies, data models, APIs, diagnostics, and CI/CD integrations across virtual and physical environments. Provides technical leadership, mentors engineers, improves testing speed and reliability, and enables analytics through Databricks.

Provides technical leadership for chassis motion-control systems and GM’s virtual integration stack. Responsibilities include defining embedded and virtual architectures, integrating plant models, vECUs, supplier assets, and AUTOSAR components, establishing CI/CD and quality processes, and supporting CoSim, SIL, HIL, and vehicle execution. The role requires deep expertise in vehicle dynamics, control systems, embedded C/C++, MATLAB/Simulink, AUTOSAR, and virtual engineering, along with cross-functional leadership, mentorship, and travel to test and partner sites.

Leads the Diagnostics Infrastructure team developing reusable fault detection and diagnostic software for autonomous-driving and active-safety systems. Responsibilities include people leadership, technical roadmap ownership, architecture, C/C++ and Python software delivery, automotive diagnostics, cross-functional integration, quality practices, risk management, and release execution across vehicle programs. The role requires embedded Linux and POSIX experience, UDS knowledge, and occasional travel to GM facilities, suppliers, and test sites.

Develop and integrate virtualized software-in-the-loop simulation environments for automotive embedded controllers. Build virtual controller, plant, ECU, hardware I/O, RTOS, and communication models; integrate and test cosimulation components; support requirements definition, troubleshooting, documentation, releases, and cloud deployments. The role collaborates with development and systems engineers across propulsion thermal management, battery management, chassis, brake, and body control domains.

Lead technical direction for a unified vehicle data platform spanning control planes, data planes, SDKs, logging, and fleet management. Design and maintain production software for Android, Linux, and QNX ECUs, optimize constrained resources, integrate cloud services, and establish reliability, observability, privacy, and security standards. Lead cross-organizational initiatives, production incident response, roadmap development, open-source contributions, and mentorship of engineers.

Architects end-to-end CI/CD and quality-gating systems for embedded and software-defined vehicle platforms. Establishes delivery pipelines, artifact promotion, mainline protections, validation gates, GitHub Enterprise workflows, cloud infrastructure, observability, and release controls. Defines integration strategies across ECUs, MCUs, SoCs, containers, vehicle systems, and virtual or hardware test environments. Leads cross-functional architecture decisions, advises senior leadership, improves pipeline reliability, and drives measurable gains in software quality, integration predictability, and release confidence.

Define the architecture, technical vision, and roadmap for brake, chassis, and propulsion thermal HIL simulation environments. Lead integration of real-time plant models with embedded controllers, vehicle hardware, sensors, actuators, and automotive networks. Establish requirements, acceptance criteria, safety practices, and verification strategies; resolve complex cross-disciplinary issues; improve HIL bench reliability and usability; and mentor engineers while influencing technical direction across the organization.

Develop and lead embedded software for low-voltage automotive power distribution, including controls, diagnostics, communications, and safety-compliant system design. Create and test software across component, system, and vehicle levels using SiL, HiL, and automated testing. Apply C/C++, AUTOSAR, ISO 26262, MISRA, CI/CD, DevOps, and automotive communication protocols. Collaborate with hardware, calibration, requirements, and agile teams while reviewing code, maintaining traceability, and supporting software quality practices.

Designs and maintains CI/CD pipelines for virtual ECUs, embedded software, and simulation artifacts. Automates build, testing, packaging, and deployment workflows across C++, Python, MATLAB/Simulink, and model-based toolchains. Operates Docker and Kubernetes environments, implements GitOps, improves developer velocity, adds pipeline observability, and supports cloud-based software-in-the-loop execution. Collaborates with embedded, simulation, and controls teams on large-scale virtual validation.

Leads end-to-end simulation architecture for GM’s Vehicle Body Controls domain. Defines co-simulation packages, simulation bills of materials, behavioral models, configuration strategies, documentation standards, and CI/CD integration. Governs architecture across programs, ECUs, vehicle domains, and model years while partnering with systems, software, pipeline, and tools teams. Establishes quality gates, conducts design reviews, drives technical alignment, and supports training. Requires substantial embedded controls, SIL/HIL, co-simulation, test environment, and software architecture experience.

Develop and maintain vehicle data platform software across control plane, data plane, logging, SDK, and cloud integrations. Deliver production software for Android, Linux, and QNX ECUs with constrained resources, optimize connectivity and performance, implement testing and observability, troubleshoot field issues, collaborate across technical teams, contribute to open source, and mentor junior engineers.

Lead architecture and development of diagnostic infrastructure software, applications, libraries, and interfaces for autonomous vehicle platforms. Own UDS and DTC management strategy, deliver high-quality C++ solutions, review engineering changes, troubleshoot vehicle communication logs, and support Software Defined Vehicle architectures. Collaborate across cybersecurity, manufacturing, service, and platform teams; mentor developers; participate in hiring; and represent the organization in ISO and SAE industry groups.

Design, build, and operate Java/Spring Boot backend services supporting vehicle configuration, campaign delivery, remote device management, and OTA workflows at global scale. Lead API security hardening, legacy endpoint retirement, service communication architecture, observability, technology modernization, and technical debt reduction. Integrate agent-assisted development tools into engineering workflows and mentor engineers on backend design, service ownership, and operational excellence.

Build and operate scalable vehicle data pipelines, workflows, monitoring, dashboards, alerts, and observability solutions. Investigate data quality and operational issues across vehicle campaigns, software packages, populations, and lifecycle systems. Define requirements, metrics, testing, governance, lineage, and support processes while improving reliability, performance, scalability, and cost. Collaborate across engineering and program teams, communicate technical findings, establish best practices, and mentor others.

Design, build, and operate cloud-based CI/CD platforms and pipelines supporting embedded software production, automated builds, testing, virtualization, and co-simulation. Integrate physical and virtual test environments, improve platform reliability and performance, automate provisioning and maintenance, troubleshoot infrastructure and pipeline issues, and establish DevOps best practices. Serve as a subject matter expert while collaborating with software, test, IT, cybersecurity, and supplier teams.

Architect enterprise-scale CI/CD platforms for embedded, simulation, and cloud workloads. Define engineering standards for branching, releases, quality gates, GitOps, Kubernetes, progressive delivery, Terraform-based infrastructure, security, compliance, and observability. Lead high-impact productivity initiatives, solve complex technical problems, connect multiple engineering programs, and mentor DevOps and simulation developers. The role focuses on virtualized vehicle software and safety-critical embedded real-time systems.

Leads architecture and development of GM’s simulation scenario platform, TypeScript/Python SDK, graphical editing tools, and scalable Python infrastructure. Responsibilities include scenario serialization and validation, cloud compute integration, technical roadmap ownership, complex project delivery, API and code-quality standards, and mentoring engineers. The role supports safe validation of autonomous-driving systems and may involve 3D graphics, simulation, DSLs, game engines, data visualization, and robotics systems.