Jobs at General Motors

Provide onsite and remote desktop/laptop support for Ubuntu, Windows, and macOS across engineering teams. Troubleshoot, deploy, and onboard hardware, develop automation/solutions with enterprise tools, coordinate with other IT teams, and support service delivery and documentation. Local travel within the San Francisco Bay Area; onsite up to five days weekly.

Design, build, and maintain security-focused services, tooling, and automation across the SDLC. Integrate security controls into CI/CD and cloud deployments, perform threat and code reviews, build telemetry for detection and incident response, mentor engineers, and drive secure-by-default architectures.

Lead design, training, and evaluation of multi-modal perception models (detection, segmentation, tracking, prediction) for a fallback autonomy stack. Curate datasets, define ML metrics, optimize models for on-vehicle inference, integrate with production systems, and collaborate with Safety, Systems, and Product teams. Drive validation (offline, simulation, HIL, on-road) and mentor engineers.

Design and develop scalable front-end and back-end web applications, robust system infrastructure and databases, and cloud integrations. Write clean, unit-tested, documented code for client and server components, maintain CI/CD, and collaborate with cross-functional teams. Hybrid role requiring in-office presence three days per week.

Senior individual contributor who defines architecture and technical direction for MyAccount. Build and maintain scalable, secure customer-facing web apps using Next.js/React, design APIs, improve reliability/observability, own deployments and operational excellence, mentor engineers, and collaborate cross-functionally to translate business goals into technical roadmaps.

Lead design, configuration, testing, and maintenance of global hourly compensation in Workday. Translate CBAs and legislation into scalable Workday solutions, build eligibility rules, manage integrations and EIBs, support payroll/reporting teams, troubleshoot production issues, and execute testing and deployment with strong documentation and change control.

Lead design, architecture, and deployment of real-time onboard state estimation, localization, and sensor calibration systems for autonomous vehicles. Mentor engineers, drive technical roadmaps, ensure scalability, robustness, and safety-critical operation, and integrate solutions across multidisciplinary teams.

Design and deliver in-vehicle user interfaces (instrument clusters, touchscreens, HUD) by creating interaction designs, prototypes, specs, and assets; collaborate with designers, researchers, engineers, and product teams to balance user needs, technical constraints, and business goals, present work, and participate in critiques.

Lead research and development of vision-language and vision-language-action foundational models for autonomous driving, focusing on multimodal alignment, onboard optimization (quantization, pruning, distillation, compilation), real-time inference on vehicle edge hardware, mentoring teams, integrating models into perception and planning stacks, and publishing/patenting research to advance AV capabilities.

Technical leader responsible for architecting and delivering end-to-end ML and computer vision pipelines to reconstruct and maintain map primitives from large-scale multimodal sensor data. Drive system architecture, data pipelines, model training, evaluation, deployment, cross-functional integration, and mentorship to scale robust, production mapping capabilities for autonomous vehicle applications.

The role involves designing scalable ML infrastructure, optimizing distributed training on various hardware, and collaborating with teams to enhance AI solutions.

Manage global sourcing of technology purchases (software, SaaS, infrastructure): develop and execute sourcing strategies, negotiate contracts, coordinate with IT, Legal, Security, and stakeholders, manage renewals, benchmark suppliers, and use GPSC sourcing processes and purchasing systems.

Lead strategy and execution for GM's external vehicle APIs (command, telematics, data sharing). Own roadmap, define requirements and success metrics, collaborate with engineering/design/legal/cybersecurity, drive go-to-market and global expansion, and ensure secure, compliant data sharing for fleet and partner integrations.

Develop and maintain high-performance automotive infotainment UI applications in modern C++. Design scalable UI frameworks, optimize rendering and startup performance, debug graphics and IPC issues, integrate vehicle signals, and support feature bring-up across QNX/Linux/Android platforms while collaborating with cross-functional teams through code reviews and CI/CD workflows.

Lead design, development, and deployment of on-vehicle core platform software and cloud integrations for autonomous driving. Define requirements with cross-functional teams, drive reliability and safety, mentor engineers, perform code reviews, and shape long-term technical roadmap for distributed, safety-conscious AV platform services.

As a Senior Software Developer, you will lead automation solutions for testing embedded software, collaborate with teams, and mentor junior developers while maintaining quality standards.

Lead design and governance of compensation programs for GM's technology organizations. Provide analytics, market benchmarking, and executive recommendations. Manage a small team (2-4), partner with HR, Legal, and Finance, and ensure compliant, competitive pay frameworks for tech roles across geographies.

Lead and grow an embedded platform OS and drivers engineering team responsible for BSP, kernel-level software, HALs, and device drivers. Own technical direction, bring-up, integration, debugging, performance, and maintainability while coordinating cross-functional hardware and validation teams, driving delivery, quality processes, and mentoring engineering talent.

Lead development of observability frameworks and developer tools for autonomous vehicle engineering. Design and implement large-scale distributed systems, build tooling for collecting and acting on observability signals, drive best practices, influence roadmap, perform code reviews, and mentor engineers while balancing deliverables and technical debt.

Lead design and implementation of Kubernetes-based cloud platform capabilities for a multi-cloud Nova platform. Build operators/controllers, reusable abstractions, tooling, and observability to improve developer experience, reliability, and operability. Drive architecture, code quality, on-call incident response, and cross-team technical influence to scale platform services on Azure and GCP.