Jobs at General Motors

Design, build, and operate secure cloud services and AI agents for application security, including vulnerability triage, sandboxed testing, and remediation support. Implement infrastructure as code, isolation, least-privilege access, secrets management, and defenses against untrusted input and prompt injection. Evaluate AI accuracy, cost, and latency while collaborating with security teams, communicating risk, reviewing code, and mentoring engineers.

Lead developer experience strategy and delivery across platforms, tools, golden paths, CI/CD workflows, automation, and AI-assisted engineering solutions. Define productivity metrics, improve developer workflows, partner across security and infrastructure teams, influence engineering standards, and mentor engineers. The role requires extensive software development, distributed systems, cloud, infrastructure-as-code, developer platform, security, and modernization experience.

Develop and support OneStream/EPM applications, customizations, integrations, and reusable software components. Translate finance and planning requirements into technical solutions using C# and VB.NET, participate in the full software development lifecycle, troubleshoot production issues, improve performance, and collaborate with finance and technology stakeholders. The role also includes code reviews, documentation, testing, technical guidance, mentoring, and support for enterprise planning and consolidation platforms.

Designs, implements, deploys, and optimizes Java microservices, REST and GraphQL APIs, and WebSocket solutions using Spring Boot and Azure. Manages cloud services including AKS, API Management, Functions, Cosmos DB, SQL Database, and monitoring tools. Develops automated unit, integration, and functional tests using TDD, while improving application performance, scalability, reliability, security, and cost efficiency.

Design, develop, and support cloud-native Java microservices and event-driven integrations connecting vehicles with cloud services. Responsibilities include database optimization, monitoring, production troubleshooting, automated testing, code reviews, documentation, agile collaboration, and technical mentoring. The role requires operating scalable distributed systems with strong reliability, observability, performance, and security practices, along with participation in on-call rotations.

Leads the AV Data Processing and Services team, combining hands-on software engineering with people management. Owns architecture and roadmap for petabyte-scale distributed data pipelines, storage, batch inference, streaming, simulation, cloud infrastructure, observability, reliability, and cost optimization. Recruits and mentors engineers, establishes SLAs, manages incidents, and translates cross-functional requirements into dependable technical deliverables.

Design and maintain scalable Java services, distributed applications, real-time streaming pipelines, GraphQL APIs, and PostgreSQL-based operational data stores. Integrate systems with Databricks and Microsoft Azure, implement CI/CD, troubleshoot complex cloud and data-platform issues, and contribute to architecture, engineering standards, documentation, and mentoring. The role emphasizes event-driven design, resiliency, observability, secure development, and effective use of generative AI tools.

Leads enterprise engineering platforms for embedded software, simulation, and cloud workloads. Designs CI/CD, GitOps, Kubernetes, Terraform, progressive delivery, observability, security, and compliance architectures. Establishes branching, release, quality, and engineering standards across teams while improving productivity, release confidence, and product quality. Mentors DevOps and simulation developers and provides hands-on technical leadership for complex, safety-critical software environments.

Design, implement, benchmark, and optimize CUDA-based GPU kernels and custom operators for on-vehicle ML inference. Build tooling for profiling and debugging, integrate kernels into the ML runtime, collaborate with compilers and architecture teams, and deliver high-performance, production-grade libraries meeting strict latency, throughput, and reliability targets.

Staff software engineer responsible for designing, building, and operating production authorization services. The role develops role-based, attribute-based, and policy-driven access controls; leads security reviews; builds cloud-native microservices and APIs; establishes engineering standards, observability, and deployment practices; mentors engineers; and supports critical systems through on-call rotations.

Investigates and resolves enterprise cybersecurity incidents through alert triage, endpoint analysis, evidence collection, containment, eradication, and recovery. Develops incident-response automation, Python utilities, integrations, dashboards, CI/CD workflows, and infrastructure-as-code deployments. Administers CrowdStrike Falcon capabilities, improves detection and threat-intelligence workflows, maintains response playbooks and documentation, and coordinates with security stakeholders. Supports incident reviews, process improvement, mentoring, and knowledge sharing.

Develop and optimize Linux kernel components, device drivers, BSPs, bootloaders, and firmware for automotive embedded platforms. Lead system bring-up, camera and multimedia integration, hardware validation, diagnostics, health monitoring, low-level debugging, and production testing. Collaborate with hardware teams, contribute to upstream Linux development, and improve system reliability, performance, and maintainability.

Design, develop, deploy, and maintain large-scale data platform services supporting autonomous vehicle model training, mining, labeling, and replay. Lead operational excellence through SLOs, SLIs, incident response, and lifecycle management. Partner with ML and data engineers to build self-service capabilities, deliver end-to-end technical projects, and shape the roadmap. Participate in planning, code reviews, interviews, onboarding, and mentoring while optimizing distributed systems for cost, performance, and reliability.

Leads the architecture, implementation, and operational excellence of DevOps, CI/CD, build, release, and developer productivity platforms for next-generation infotainment systems. Designs scalable embedded Linux build pipelines, automates releases, improves observability, builds self-service tooling, and drives cross-functional initiatives. The role mentors engineers, influences technical direction, and advances software delivery reliability and developer velocity across multiple vehicle programs.

Leads AI/ML and data science products that improve engineering productivity. Translates ambiguous business challenges into scalable, production-grade solutions, shapes scientific direction, ensures methodological quality, mentors scientists, develops reusable frameworks, manages risks and delivery, and collaborates across engineering, data, software, and business teams. Communicates technical tradeoffs to stakeholders and leaders while driving measurable enterprise impact.

Coordinates complex cybersecurity incidents from triage through recovery and post-incident review. Leads cross-functional response efforts, containment decisions, stakeholder communications, executive reporting, metrics, governance, process improvement, and incident response maturity initiatives. Coaches team members, maintains response documentation and toolsets, and supports an off-hours on-call rotation.

Develop data-intensive and AI-enabled applications supporting product development engineering teams. Build optimized SQL solutions, Databricks pipelines, Java and Python backend services, APIs, and cloud-native applications. Partner with AI teams to productionize ML and LLM solutions, improve reliability and security, troubleshoot production issues, and implement engineering best practices. The role also involves architecture, Agile collaboration, mentoring engineers, technical documentation, and driving modernization initiatives.

Develop and deploy robotics software solutions for manufacturing, including machine learning, deep learning, computer vision, simulation, and real-time applications. The role involves designing prototypes, building and testing robotic cells, streamlining robotics engineering processes, integrating systems at scale, and collaborating with manufacturing engineering teams. Travel to GM facilities in the U.S. and Mexico is required up to 25% of the time.

Leads Core IT’s vendor management function, overseeing supplier performance, governance, service expectations, reporting, escalations, renewals, negotiations, risk, and value optimization. Partners with Purchasing, Finance, Security, and IT leaders to align vendor deliverables and spending with business priorities. Builds and mentors a vendor management team and virtual network of vendor leads while driving continuous improvement and enterprise-scale governance.

Leads multiple software engineering teams building enterprise platforms, integrations, APIs, and modernization programs. Sets technical direction, owns delivery and production health, drives architecture and legacy-system modernization, and embeds AI coding agents across the software development lifecycle. The role remains hands-on through coding, reviews, debugging, and prototyping while coaching leaders, hiring engineers, improving engineering practices, measuring delivery performance, and aligning technical outcomes with business strategy.