Jobs at General Motors

Supports automation, data acquisition, instrumentation, and testing for motorsports dynamometers, vehicles, engines, and powertrain systems. Configures and validates test-cell systems, develops scripts and sequences, checks data quality, prepares reports, troubleshoots routine issues, and maintains technical documentation. Collaborates with test, controls, calibration, software, and instrumentation teams while following safety, data-integrity, and engineering procedures.

Develops data workflows, statistical models, and machine learning solutions using tire, vehicle, simulation, telemetry, testing, and race data. Analyzes tire performance, operating windows, degradation, and strategy impacts while delivering dashboards, reports, notebooks, and decision-support tools. Partners with engineering, data, and motorsports teams, leads complex analytics projects, establishes reproducible modeling practices, and mentors engineers and analysts.

Develop and maintain simulation-ready CAD surface geometry and assemblies for aerodynamic CFD workflows. Build parametric and automated models, refine imported or scanned geometry, resolve topology and mesh-related issues, and support efficient design iteration. Collaborate with CFD, aerodynamics, vehicle engineering, motorsports, and external partner teams to improve simulation accuracy and development speed.

Leads product strategy, roadmaps, backlogs, and agile delivery for GM Motorsports data and analytics products. Partners with data science, data engineering, and motorsports stakeholders to translate business needs into features, prioritize trade-offs, manage dependencies, track KPIs, and communicate progress to leadership. Serves as scrum lead, removes impediments, promotes data and AI capabilities, and mentors product owners and team members.

Supports supplier quality at a manufacturing site by conducting PPAP, run-at-rate verifications, audits, and compliance monitoring. Reviews control plans and PFMEAs, coordinates containment of supplier-related issues, facilitates root-cause analysis and corrective actions, and visits suppliers to verify improvements. The role also leads APQP and supplier development activities, provides technical quality-system support, and conducts supplier workshops. It is onsite, requires regular travel, and supports four 10-hour shifts.

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.

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.

Provides on-site automotive technical support to GM dealerships and wholesale teams. Diagnoses vehicle and Techline issues, resolves escalated cases, supports repair and repurchase prevention, reviews dealership service readiness, trains personnel, troubleshoots IT and diagnostic tools, and reports product concerns to GM engineering and quality teams. The role manages territory relationships, supports arbitration and legal cases, and requires frequent travel, extensive automotive diagnostic experience, and strong customer and technical communication skills.

Provides on-site automotive technical support to GM dealerships across the Albany territory. Diagnoses and directs vehicle repairs, resolves escalated technical and customer issues, supports warranty and repurchase reduction, evaluates dealership service readiness, trains dealer personnel, reviews comeback processes, and communicates product concerns to GM engineering and quality teams. The role also supports arbitration and legal cases, manages dispatch cases, develops dealer relationships, and assists with technician recruitment and retention.

Manages dealer relationships across an assigned territory to increase adoption of OnStar, connected services, My GM Rewards, and GM Rewards Credit Cards. Coaches dealership leadership and sales and service teams through training, performance reviews, data-driven action plans, customer onboarding, and troubleshooting. Collaborates with GM field, sales, service, marketing, loyalty, and digital teams to support launches, resolve issues, improve customer engagement, and achieve performance goals. Requires extensive travel, strong communication skills, technology proficiency, and a valid driver's license.

Manages warranty process support across dealerships in the Phoenix territory. Advises dealer leadership, reviews warranty data and job cards, evaluates service processes, resolves warranty escalations up to $50,000, delivers training, supports recalls and field actions, and develops improvement plans. The role partners with regional and corporate teams to improve warranty administration, compliance, consistency, and dealership performance, while traveling up to 75% and presenting recommendations to senior leadership.

Provides field-based automotive diagnostic, repair, and technical support to GM dealerships. Resolves escalated vehicle issues, supports potential repurchase cases, evaluates dealership service readiness, trains dealer personnel, manages dispatch cases, and communicates product-quality findings to GM engineering and service teams. The role also supports warranty-cost reduction, dealer comeback processes, customer relationships, arbitration matters, and technician recruitment while traveling frequently throughout the assigned territory.

Staff Data Engineer leading architecture and technical direction for real-time and batch motorsports data platforms. Responsibilities include telemetry ingestion, streaming systems, data quality, observability, cloud platforms, reliability, incident response, technical standards, roadmap planning, stakeholder influence, and mentoring. The role delivers scalable solutions supporting race-day operations and cross-functional analytical products.

Design and implement AI agents, plugins, automations, and enterprise integrations for HR Technology platforms. Lead requirements gathering, technical analysis, solution design, testing, documentation, deployment, security, and data integrity efforts across HR, IT, and business stakeholders. Integrate platforms including ServiceNow, Workday, and other enterprise applications while supporting the HR automation and AI roadmap.

Leads the strategy, validation, and safety assurance of Level 3–4 autonomous driving behaviors powered by machine learning. Owns behavior-related safety cases, standards alignment, ODD and evaluation frameworks, safety metrics, launch-readiness assurance, and evidence assessment across simulation, closed-course, and public-road testing. Leads cross-functional technical collaboration and builds a high-performing AV behavior safety engineering team through hiring, coaching, and development.

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.

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.

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.

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.