Jobs at General Motors

Design and implement scalable zero trust and secure access architectures across complex hybrid networks. Conduct deep analysis of network access paths, author reusable reference architectures, implement mesh VPN and identity-aware proxy solutions, automate deployments with IaC and CI/CD, collaborate cross-functionally, drive governance and metrics, mentor engineers, and participate in incident response and remediation.

Design and build scalable, accessible frontend components and micro-frontends for a global vehicle commerce platform. Implement complex rule-driven UIs, real-time pricing displays, deep state management, and guided multi-step workflows. Drive automation, AI-enabled development practices, performance optimization, and contribute to an enterprise design system in a cross-functional Agile team.

Lead security enablement and automation for enterprise application onboarding. Design authentication/authorization patterns (SAML, OAuth2, OIDC), build automation, reusable tools/APIs, and self-service workflows. Partner with application and product teams to ensure secure integrations, perform risk assessments, enforce compliance, and mentor junior engineers.

Design, configure, build, test, and maintain Workday Extend applications and integrations using Workday Studio and APIs. Translate business requirements into technical specifications, document solutions, and participate across the software development lifecycle while collaborating with stakeholders and staying current on Workday and AI-related capabilities.

Design, develop, test, and support Workday integrations (EIB, Connectors, Studio). Collaborate with HR and IT to gather requirements, produce interface specs, perform root-cause analysis, document processes, and optimize integration performance while staying current with Workday updates and AI integration opportunities.

Lead design and governance of compensation programs for GMs technology organizations. Provide market benchmarking, workforce analytics, scenario modeling, and executive-ready recommendations. Manage and develop a small compensation team, partner with HR, Legal, and Finance, and ensure compliance with governance and regulatory requirements.

The role involves designing and managing PKI and secrets management systems, leading technical teams, and advising on security architecture. Responsibilities include mentoring engineers and ensuring compliance with security standards.

The Sr. Writer - Design Systems & Governance will focus on developing design governance frameworks, ensuring consistency and quality across design assets, and collaborating with various teams to enhance user experience and product design.

Develop high-performance Android software for automotive user experiences, focusing on infotainment systems and digital displays, while optimizing performance and integrating with embedded platforms.

Design, build, and maintain full-stack applications and data workflows for regulatory, safety, and quality systems. Own end-to-end features from Next.js/React front end through Java microservices to relational databases and Databricks pipelines. Ensure test automation, CI/CD, observability, and secure, versioned APIs. Mentor engineers and translate regulatory requirements into scalable, auditable solutions.

Lead design and implementation of observability and developer productivity tooling for autonomous vehicle engineering. Build and maintain distributed systems, observability pipelines, and cloud-native tooling; influence technical roadmap; perform code reviews and PoCs; partner with engineering teams to improve developer workflows; balance technical debt; and mentor and grow engineers across the organization.

Lead design, build, and operation of secure cloud platforms focused on authentication and authorization. Architect access control and policy-driven authorization, develop cloud-native microservices and APIs, implement CI/CD and IaC, ensure observability and logging, mentor engineers, and drive security reviews and remediation.

The Senior Data Engineer will design, build, and operate scalable data pipelines for high-performance racing programs, utilizing cloud architecture and streaming systems to support real-time data delivery.

The role involves designing, implementing, and optimizing CUDA-based kernels for autonomous vehicles, ensuring high-performance ML inference for AV software.

Lead and grow an offensive security team to validate defenses via penetration testing, red teaming, adversary emulation, and responsible disclosure. Set roadmap, KPIs, staffing and operating model; prioritize remediation, establish scalable testing across web, API, cloud, identity, container, and delivery pipelines; drive cross-functional alignment and measurable risk reduction.

Design, implement, and operationalize privacy-by-design controls across enterprise and vehicle systems. Collaborate with Legal, Privacy, Cybersecurity, and engineering teams to translate requirements into reusable technical controls, PETs, and governance. Support design reviews, privacy impact assessments, audits, and remediation while embedding controls into data pipelines, APIs, analytics, AI, and embedded vehicle software to reduce privacy risk and improve compliance and audit readiness.

Lead design and implementation of Kubernetes-based cloud platform capabilities across Azure and GCP. Build operators, reusable abstractions, platform tooling, and improve monitoring, observability, deployment patterns, reliability, and developer experience. Drive architecture, on-call/incident response, cross-team technical influence, and mentor engineers.

Design, build, and maintain Databricks-based ETL/ELT pipelines and medallion-layer data products. Integrate enterprise applications (including DataStage and ServiceNow), implement data quality, governance, and operational support, and collaborate with cross-functional teams to deliver scalable, production-ready data assets for analytics, reporting, and AI.

Lead GM's Software Supply Chain Security function: translate strategy into execution, build and coach a high-performing team, own KPIs, and embed secure-by-design controls across source control, build pipelines, containers, SBOM, third-party software, and developer tooling while partnering with engineering, platform, cloud, procurement, and risk.

Lead GM's Secure Development & Application Security function to embed developer-friendly preventative and detective controls across the software lifecycle. Define roadmap for SAST/DAST, API and AI security, runtime resilience; own metrics and operational performance; partner with engineering, platform, product teams; build talent, scale programs, and drive risk reduction through measurable outcomes.