Jobs at General Motors

Develop Python software and data systems that capture, validate, process, monitor, and deliver autonomous-vehicle telemetry from fleets to cloud and AI development pipelines. Own reliability initiatives, define architectures and operational metrics, debug distributed cloud and backend issues, improve observability and data quality, and apply AI/LLMs to incident triage and root-cause analysis. Collaborate across engineering and operations teams, lead design reviews, deliver tested production solutions, and mentor engineers.

Lead the architecture and development of scalable backend services and software products for GM Commercial Services. Design reliable APIs and systems, solve complex business and technical problems, improve engineering practices, and build high-value products. Collaborate with product, design, infrastructure, operations, and engineering teams while mentoring engineers. The role requires expertise in Java, Kotlin, or Python; SQL and NoSQL databases; cloud platforms; Databricks; and modern web technologies.

Leads software engineering teams delivering enterprise HRIS and corporate systems across cloud, SaaS, and hybrid environments. Responsibilities include setting technical priorities, guiding architecture, modernizing applications, developing APIs and platform capabilities, improving reliability and observability, and implementing Agile, DevSecOps, CI/CD, automation, and AI-enabled solutions. The manager also oversees hiring, performance management, stakeholder collaboration, responsible AI governance, cloud migrations to Azure, and engineering culture development.

Senior individual contributor responsible for technical direction, architecture, and implementation of the MyAccount web platform. Lead design of scalable web applications and APIs using Next.js/React/TypeScript, improve reliability/observability, own deployments and operational stability, remediate security and quality issues, mentor engineers, and drive cross-team architectural alignment and engineering strategy.

Build and lead GM’s Core OS engineering organization for vehicle compute platforms. Define the team charter, hire engineers, establish architecture, and deliver production software supporting hypervisors, virtualization, containers, secure boot, safety monitoring, and Linux, Android, and QNX guest operating systems. Own roadmaps, KPIs, cross-functional integration, vendor partnerships, risk management, and vehicle-program milestones while ensuring scalable, reliable, and updateable platform software.

Design, develop, and architect scalable Golang software supporting enterprise data architecture. Lead technical design, collaborate across teams, mentor engineers, solve complex technical problems, and contribute to Agile delivery practices. Ensure software quality through code reviews, automated testing, CI/CD, and operational support while shaping technical roadmaps and architectural direction.

Develop behavior validation products for autonomous vehicle software, including scorecards, protocol analysis workflows, data pipelines, and dashboards. Build Python-based prototypes and production solutions, integrate analytical workflows with user-facing tools, and improve system scalability, reliability, performance, and maintainability. Collaborate with engineering, safety, product, and AI teams to translate stakeholder needs into technical designs, measurable outcomes, and launch-readiness insights.

Develop and mature advanced automotive display optics, cover glass, coatings, optical films, and bonding technologies. Define requirements, lead supplier proof-of-concept evaluations, establish optical characterization and benchmarking methods, analyze performance data, resolve optical defects, validate solutions under automotive reliability conditions, and support technology transfer into sourcing and production programs.

Design, build, and operate scalable hybrid human/machine data labeling platforms for autonomous vehicles. Own end-to-end projects, define platform roadmap, integrate ML-driven annotation, build high-performance UIs/APIs, and collaborate across ML, product, and operations to improve labeling quality and velocity.

Recruits interns, co-ops, new graduates, and other early-career talent across technical and business roles. Manages requisitions through sourcing, screening, interviews, offers, and pre-employment activities; builds university and candidate pipelines; partners with hiring managers and HR; supports campus recruiting and intern conversion; maintains recruiting data in Workday and other systems; and uses metrics to improve hiring processes and candidate experience.

Lead development and validation of optical film stacks and light-management technologies for automotive LCD and OLED displays. Evaluate films, polarizers, coatings, and bonding technologies; perform optical simulations and measurements; analyze brightness, contrast, glare, reflections, uniformity, and related performance data; collaborate with suppliers and display manufacturers; and mature validated optical solutions for production vehicle display programs.

Leads development of behavior validation products for autonomous vehicle software, including dashboards and scorecards. Partners with engineering, safety, product, and AI teams to define roadmaps, prioritize improvements using data-driven analysis, and deliver scalable, reliable validation tools. Implements Python-based technical solutions connecting data pipelines to user interfaces and supports AV launch and release decisions.

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.

Design and build scalable, reliable ML training infrastructure for advanced AI research and model development. Optimize distributed training performance, resource utilization, data loading, and costs across heterogeneous GPU and cloud environments. Improve platform observability, debuggability, operational excellence, and user experience. Collaborate with ML engineers, research scientists, and cross-functional partners to integrate new technologies supporting intelligent driving systems.

Build and operate full-stack vehicle software integrity systems using Next.js and Go. Develop data visualizations and dashboards, extend shared component libraries, collaborate with product and design teams, and ensure code quality through testing, reviews, debugging, and performance analysis. The role requires technical ownership, architectural decision-making, cross-functional communication, mentoring, and effective delivery amid changing priorities.

Conduct advanced AI and machine learning research for autonomous driving, designing and prototyping foundation models, generative AI, multimodal systems, and other modern ML approaches. Shape technical roadmaps, mentor researchers and engineers, collaborate across multidisciplinary teams, and represent GM through publications, patents, and conference participation.

Develop and mature next-generation OLED panel technologies for automotive displays. Responsibilities include evaluating pixel and tandem stack architectures, defining technology requirements, validating TCON and driver IC specifications, conducting optical simulations and bench testing, leading supplier testing under automotive conditions, analyzing panel performance data, resolving defects such as Mura and burn-in, and transferring production-ready technologies to Sourcing.

Leads development and maturation of next-generation automotive LCD panel technologies, including TFT backplanes, pixel structures, driver electronics, and halo mitigation. Evaluates emerging architectures, defines technical requirements, collaborates with display and semiconductor suppliers, conducts proof-of-concept builds and environmental validation, analyzes performance data, resolves panel defects, and transfers mature technologies toward sourcing and production readiness.

Leads a team of 3D artists and pipeline engineers delivering content and simulation framework engineering for autonomous vehicle simulation. Provides technical leadership, manages execution, assigns priorities, reviews deliverables and documentation, removes roadblocks, and collaborates cross-functionally. Responsibilities also include hiring, staffing, employee development, training, performance management, compensation planning, and communicating team strategy and organizational policies.

Leads a cross-functional team developing behavior evaluation, human benchmarking, and behavioral inference capabilities for autonomous vehicles. Designs and deploys production ML models, establishes technical roadmaps, and integrates behavior critics into simulation-based validation, release decisions, and performance monitoring. Partners with autonomy, simulation, safety, and product teams to assess driving behavior against human expectations for safety, comfort, and intuitiveness.