Jobs at General Motors

Lead product strategy and roadmap for utility and energy-market software supporting grid services. Translate program requirements into scalable integrations, manage full product lifecycle, perform market research, collaborate cross-functionally with engineering, sales, and business teams, and optimize products using data-driven insights to support managed charging, enrollment, and interoperability.

Design, build, and maintain Databricks-based executive dashboards and reports. Collaborate with data engineers to optimize data models, ensure data quality, configure role-based access, and apply AI-enabled features. Translate business questions into KPIs, tune performance, document validations, and contribute reusable standards and templates for executive-ready analytics.

Lead design and delivery of scalable, secure cloud-native data platforms and large-scale data pipelines. Enable AI/ML use cases via integrated data and model-serving workflows, enforce data quality, observability, and security, and mentor engineers while aligning technical solutions to business priorities.

Design, build, and operate secure, scalable microservices and APIs (REST/GraphQL) for mobile backend experiences. Deploy and manage services in Azure (AKS, Functions, Cosmos DB, SQL), own CI/CD and DevOps automation, improve observability and reliability with monitoring and SLOs, apply AI-enabled tooling for engineering productivity, practice TDD, mentor engineers, and produce architecture and runbook documentation.

Lead technical direction for GM's MBFF platform and core microservices. Design scalable APIs and integrations (REST, GraphQL, WebSockets, event-driven), drive DevOps/CI-CD and observability standards, champion AI-enabled operational tooling, guide architecture and production readiness, mentor senior engineers, and align platform strategy with product, security, and SRE teams.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Develop embedded software for vehicle software-update functions using C/C++ in various environments. Collaborate with teams, perform testing, and resolve issues to enhance vehicle software.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

Lead and deliver cybersecurity projects, champion and enforce security best practices across the software organization, and serve as a subject-matter expert for at least one platform, project, or component. Support and communicate standards to engineering teams and participate in hiring/onboarding assessments and pre-employment screening as required.

Lead design-system work across vehicle, mobile and web: create components, patterns, design tokens and grids; collaborate with UI, UX, accessibility and front-end teams to implement cohesive, cross-platform systems.

Develop and maintain high-performance automotive infotainment UI applications in modern C++, optimize rendering and startup performance, integrate vehicle signals, support QNX/Linux/Android platforms, participate in code reviews, testing, CI/CD, and collaborate with cross-functional teams for vehicle integration.

Lead data architecture and platform strategy for GM eCommerce: design scalable data models and pipelines, enforce governance and observability, improve data quality and reliability, migrate platforms, mentor engineers, and drive cross-functional, production-safe implementations.

As a Staff Software Engineer, you will lead eCommerce initiatives by architecting platforms, managing Shopify operations, driving AI integration, and mentoring engineers.

Build and optimize AI/ML infrastructure and production-grade systems. Integrate AI solutions across platforms, implement scalable, secure deployments, validate and monitor models, and connect diverse data sources and SaaS tools via APIs.

Lead product strategy and delivery for GMs Salesforce-based lead management ecosystem. Define roadmaps, OKRs, and success metrics; partner with engineering, marketing, dealers, analytics, and UX; drive Agile backlog prioritization using Atlassian tools; own performance, routing, integrations, and scalability of lead ingestion and conversion workflows; communicate progress to senior leadership and mentor others to improve dealer and customer outcomes.

Lead DevOps and platform engineering for VCU/CCU infotainment: define CI/CD and build architecture, optimize embedded Linux (Yocto) pipelines, implement distributed builds, automate releases, build self-service developer platforms, improve observability and reliability, apply AI/ML for predictive automation, mentor engineers, and drive cross-functional delivery from design to production.

As a Senior Software Engineer specializing in SAP Development, you'll design and maintain SAP applications, provide technical leadership, and ensure successful project implementations.

As a Senior Systems Configurator, you will design, configure, and support SAP solutions, optimizing business operations and ensuring compliance while collaborating with cross-functional teams.

As a Senior ML Infrastructure Engineer, you'll design and build scalable platforms for ML inference workflows, collaborating with teams to optimize model serving and enhance system reliability.