Jobs at General Motors

Leads product strategy, roadmaps, backlogs, and delivery for GM Motorsports data and analytics products. Serves as Product Owner and scrum lead for data science and engineering teams, translates stakeholder needs into features, manages dependencies and trade-offs, tracks product KPIs, communicates with senior leadership, and mentors product and agile team members.

Design, build, and operate scalable real-time and batch data pipelines ingesting high-frequency telemetry, simulation, and trackside data. Own Kafka/Flink streaming components, Databricks lakehouse implementations, and infrastructure-as-code deployments. Develop software in Python/Java/SQL, integrate systems, automate testing and releases, performance-tune pipelines, and mentor peers to ensure resilient, secure, high-performance data delivery for motorsports teams.

Support sportscar racing performance via vehicle dynamics analysis, simulation correlation, data reduction (on-track, rig-test, DIL), setup and strategy recommendations, competitor analysis, and reporting. Collaborate with race teams and internal GM groups, travel to occasional events, and improve tools and methods for vehicle simulation and data analysis.

Lead full‑lifecycle development and delivery of high‑quality, performant web/Electron applications for motorsports operations. Debug, maintain, and tune live production systems, collaborate with engineering and trackside teams, mentor junior developers, and provide on‑call support for global events.

Design, develop, integrate, test, and support motorsports electronic systems (hardware and software) across simulation, track, and bench environments. Provide embedded race-team support, troubleshooting, root-cause analysis, and project/issue management; travel to domestic and international events.

Lead development of interactive safety visualizations, dashboards, analytical applications, data marts, and automated reporting for autonomous-driving safety. Build trusted, performant data products with quality monitoring, frequent refreshes, metric definitions, lineage, and statistical interpretation. Partner with safety engineers, data engineers, program teams, and executives to translate complex safety information into clear decision-support tools and continuous improvement insights.

Investigate autonomous-vehicle safety issues through large-scale telemetry and time-series analysis. Integrate vehicle, incident, software-release, location, and operational data into analysis-ready datasets; perform root-cause investigations; distinguish data-quality problems from meaningful outliers; and communicate rigorous findings to safety, operations, and engineering teams. Develop reusable metrics, detection methods, pipelines, and analytics tooling using engineering and physics-based signal-processing techniques.

Manages Buick and GMC dealership relationships across an assigned territory, providing consultative coaching, analyzing sales and customer metrics, optimizing vehicle and parts inventory, supporting product launches, driving vehicle and services sales, and ensuring adoption of GM programs. The role requires frequent territory travel, dealership performance improvement, cross-functional issue resolution, and compliance with GM standards.

Manage Chevrolet dealership relationships across an assigned territory, coaching dealer leadership, analyzing sales and market performance, driving vehicle and accessory sales, optimizing inventory ordering, launching GM programs, and resolving business concerns. The role requires frequent field travel, strong sales and analytical skills, dealership performance improvement, and collaboration with GM stakeholders. Candidates must reside in or relocate to the territory and legally operate a motor vehicle.

Manages Chevrolet dealership relationships across the Rochester district, coaching dealer leadership, analyzing sales and market performance, improving inventory planning, launching products and programs, driving vehicle and service sales, resolving concerns, and ensuring compliance with GM standards. The role requires frequent territory travel, strong business planning and communication skills, data analysis capabilities, and legal ability to operate a motor vehicle.

Manage Chevrolet dealership relationships across a field territory, coaching dealer leadership, analyzing performance, driving vehicle and accessory sales, supporting product and program launches, optimizing inventory ordering, and ensuring execution of GM initiatives. The role requires frequent travel, territory residency or relocation, strong sales and analytical skills, legal vehicle operation, and collaboration with GM stakeholders and business partners.

Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.

Leads dealers across Central and Southern Alberta to achieve retail sales, market share, vehicle ordering, customer satisfaction, and accessory, service, OnStar, and leasing revenue goals. Develops district and dealer action plans, analyzes sales and market data, improves dealership performance, resolves customer issues, supports digital retail innovation, and builds dealer relationships. Requires frequent travel, independent work, cross-functional collaboration, and occasional extended hours.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

Define and lead survivability strategy and roadmap for GM Defense. Determine in-house vs outsourced capabilities, establish partnerships, develop design/material/manufacturing standards, lead trade studies, define survivability requirements, guide analysis and validation approaches, assess vulnerabilities and integration risks, and work cross-functionally to embed survivability into product development.

This role involves leading the safety strategy for autonomous driving systems at GM, directing validation methodologies and ensuring safety performance through collaboration across teams, hiring, and developing engineering talent.

The Sr Staff AV Behavior Safety Engineer leads safety validation for GM's autonomous driving systems, influences launch decisions, and collaborates across teams for safety standards and performance metrics in AV behavior development.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.