Jobs at General Motors

Leads market and industry analysis for Chevrolet, translating consumer, sales, and automotive market data into actionable insights for executives and cross-functional teams. Oversees monthly sales reviews, develops insights decks and executive presentations, manages strategic analyses under tight deadlines, tracks marketing KPIs, and partners with Sales Operations, Marketing, Finance, Communications, and research teams.

Productionize machine learning for manufacturing while building and operating the data engineering foundations that support models. Responsibilities include designing ML workflows, ETL/ELT and feature pipelines, governed Bronze/Silver/Gold data products, model lifecycle management with MLflow and Unity Catalog, CI/CD, monitoring, legacy ETL modernization, operational support, and collaboration with data science, manufacturing, architecture, product, and platform teams.

Designs and operates scalable batch and streaming data platforms, pipelines, warehouses, lakehouses, APIs, and data services. Builds React-based front-end applications, integrates APIs, and improves data quality, observability, security, performance, and reliability. Collaborates across product, analytics, and engineering teams, contributes to architecture and roadmaps, applies testing and CI/CD practices, and mentors engineers.

Serves as the liaison between digital advertising teams and a national automotive dealer network. Coordinates digital lead flow, CRM usage, reporting, dealer communications, campaign rollouts, and lead follow-up processes. Analyzes performance data, identifies execution gaps, recommends process improvements, and provides consultative guidance and training to dealers and internal stakeholders. The role operates autonomously across multiple stakeholders and systems, with national impact and regular domestic travel.

Identifies and formalizes problems for algorithmic solution development and deployment using artificial intelligence, machine learning, data science, and related techniques. The role connects contextualized problems to data-driven research and practical solutions. This is a hybrid position requiring regular onsite attendance. General Motors does not provide immigration-related sponsorship for this role.

Research and prototype advanced machine learning algorithms for autonomous driving, including foundation models, multimodal systems, diffusion, self-supervised learning, imitation learning, and reinforcement learning. The role influences technical roadmaps, collaborates with engineering teams, mentors others, and represents GM through publications, patents, and conference participation.

Designs, builds, and operates scalable data and AI engineering solutions across batch, streaming, and real-time environments. Responsibilities include developing data pipelines, AI data products, feature and embedding workflows, retrieval systems, MLOps/LLMOps practices, and cloud platforms. The role leads architecture decisions, production support, observability, security, governance, and performance improvements while partnering across technical and business teams. It also mentors engineers and drives delivery of trusted data products for machine learning, generative AI, analytics, and business intelligence.

Develop and lead electrified propulsion system architectures for electric vehicles. Balance system requirements, performance, cost, range, drive quality, and customer expectations. Lead cross-functional trade studies, component and system integration, technology development, performance-gap resolution, DFMEA completion, and program milestones. Collaborate with vehicle, battery, motor, drive-unit, finance, planning, and engineering teams while mentoring engineers and protecting intellectual property through invention disclosures and patents.

Designs, develops, integrates, validates, and deploys AI-enabled robotic applications for industrial automation. Responsibilities include manipulation, perception, motion planning, computer vision, controls, simulation, VLA models, learned policies, sensor integration, calibration, force control, and hardware deployment. The role owns robotic software architecture and transitions systems from simulation and prototypes to production, collaborating across robotics, AI, controls, manufacturing, and plant-facing teams.

Owns the design, development, validation, release, launch, and continuous improvement of vehicle interior systems including instrument panels, consoles, trim, and seats. Translates requirements into manufacturable solutions, leads supplier and cross-functional integration, manages design changes and technical documentation, coordinates DFMEA and problem-solving activities, and supports prototype through production builds. The role also communicates risks and decisions, resolves engineering issues, and coaches less-experienced engineers.

Leads a multidisciplinary team developing and validating advanced manufacturing technologies for GM’s global factories. Sets research strategy, oversees experiments and project portfolios, manages internal and external collaborations, publishes findings, protects intellectual property, and develops team capabilities. Requires deep manufacturing expertise, innovation management experience, technical and people leadership, and the ability to translate research into scalable manufacturing solutions.

Leads GM’s Philippines transformation organization, overseeing testing management, business services, reporting, workforce planning, budgets, vendors, and operational performance. Manages direct and contingent teams, drives transformation programs, migrations, automation, analytics, AI adoption, continuous improvement, and deployment readiness. Partners with global leaders, HR, Finance, vendors, and site stakeholders to establish governance, develop talent, manage resources, and align local delivery with global priorities.

Owns quality performance for vehicle interior systems from incoming materials through final verification. Leads defect reduction, plant and supplier issue resolution, problem solving, control plan execution, warranty reduction, and BIQ compliance. Partners with Engineering, Manufacturing, and suppliers on containment, process controls, engineering changes, production trials, validation, and corrective actions. Analyzes quality and field data, manages PFMEAs and control plans, supports supplier quality activities, and communicates risks and lessons learned across cross-functional teams.

Defines and governs the end-to-end architecture for GM’s scalable co-simulation and virtual integration ecosystem. Responsibilities include establishing interfaces, packaging, execution, configuration, traceability, observability, quality standards, supplier requirements, and technical roadmaps across virtual ECUs, models, software, networks, and test environments. The role leads cross-functional architecture decisions, supports issue resolution, mentors engineers, and aligns global teams while partnering with specialized pipeline, toolchain, quality, and program organizations.

Leads a General Assembly Manufacturing Engineering team responsible for vehicle manufacturability, assembly strategy, automation, launch readiness, safety, and cross-functional product integration. Sets technical priorities, guides complex problem-solving, manages engineering deliverables, develops team members, and represents plant and operator needs in product decisions. Partners with product engineering, tooling, automation, plant launch, suppliers, and program management teams to improve designs, reduce risk and cost, and deliver successful vehicle launches.

Partners with HR Centers of Excellence to design, build, and roll out scalable HR technology solutions. Translates business needs into prioritized use cases, manages solution roadmaps, coordinates cross-functional delivery, leads sourcing and vendor management, and supports adoption and continuous improvement through data-driven metrics.

Leads global sourcing, commodity strategy, supplier negotiations, contracting, budget execution, and supplier relationship management for lower-structure materials and services. Maintains sourcing pipelines, analyzes quotes and costs, manages supplier KPIs, resolves commercial and supply-chain issues, identifies savings opportunities, and supports purchasing process improvements. The role requires cross-functional collaboration, analytical judgment, autonomy, and approximately 10% domestic and international travel.

Design, build, and operate governed feature engineering platforms and scalable pipelines supporting machine learning development and production inference. Develop feature transformations with Python, SQL, Spark, and Databricks; maintain feature stores, data quality controls, CI/CD, monitoring, lineage, and train-serve parity. Collaborate with data scientists, ML engineers, data engineers, and platform teams to deliver reliable, reusable production features.

Supports commercial and dealer operations through KPI analysis, performance monitoring, reporting, dashboard development, and data validation. Coordinates cross-functional projects, identifies business trends and performance gaps, and provides actionable recommendations. Develops AI agents, copilots, automated workflows, and reporting solutions using generative AI and automation tools. Partners with internal stakeholders and dealer networks to improve alignment, productivity, and business performance.

Leads industrial engineering and supply chain optimization initiatives in a manufacturing environment. Responsibilities include improving material flow, warehouse layouts, labor utilization, dock strategies, automation interactions, time studies, work instructions, and operational efficiency. The role uses AutoCAD, analytical methods, Lean principles, and material automation systems while collaborating across engineering, logistics, operations, union teams, and suppliers.