Jobs at General Motors

Design, build, and maintain Databricks-based executive dashboards and reports. Collaborate with data engineers to model and optimize data for BI and AI use cases, implement data quality and security, translate business questions into KPIs, and ensure high-performance, executive-ready visualizations and adoption across IT and HR domains.

Lead product vision, strategy, and roadmap for utility and energy market software. Translate program requirements into scalable integrations, manage full product lifecycle, conduct market research, collaborate cross-functionally, and measure product performance to iterate and optimize. Support utility program enrollment, managed charging, interoperability, and backend integrations for grid services.

Lead exploratory web and mobile design work translating ambiguous opportunities into clear strategies, high-fidelity artifacts, and interface systems. Influence cross-functional partners, mentor designers, and shape future-facing experiences using experimentation and design storytelling.

The Senior Fullstack Engineer will define architectural roadmaps, lead the design of graphical editing tools, enhance Python infrastructure, and mentor engineers.

Lead product definition and roadmap for internal web tools that visualize, triage, and audit autonomous vehicle log data. Partner with engineering, design, data science, and safety teams to translate complex AV workflows into requirements, prioritize features, improve reviewer productivity, track product metrics, and deliver scalable, AI-driven developer tooling for AV investigations.

Lead product analytics for in-vehicle experiences: define KPIs, instrumentation strategy, perform deep behavioral analyses, build dashboards and self-serve analytics, apply experimentation and causal inference, mentor analysts, and influence product strategy across teams.

Lead product analytics for a vehicle product pillar: define KPIs, shape instrumentation, run deep-dive behavioral analyses, build dashboards and reporting, support experiments and rollout measurement, and translate data into actionable recommendations for product, engineering, and design stakeholders.

Lead DevOps and platform engineering for VCU/CCU infotainment: design scalable CI/CD and distributed builds (Yocto/embedded Linux), optimize build performance, automate releases, build self-service developer platforms, establish observability, apply AI/ML for predictive failures, mentor engineers, and drive cross-functional delivery from design to production.

Build and scale AI platform infrastructure, integrate AI solutions into production, optimize ML-driven applications for performance and security, and lead deployment, validation, and monitoring efforts across enterprise systems.

Design, customize, and support Salesforce solutions (Apex, LWC, Visualforce). Build integrations, ensure data management, perform debugging and monitoring, write automated tests, drive scalable cloud-aware designs (AWS/Azure), mentor engineers, and maintain deployment code repositories.

Design, build, and operate end-to-end production ML solutions for vehicle diagnostics, prognostics, and test analytics. Implement ML pipelines on Azure/Databricks, develop observable ML services, ensure model/data observability, partner with data engineering and domain SMEs, review code, mentor practitioners, and embed solutions into engineering workflows.

Lead a team developing and deploying AI/ML solutions for vehicle motion control and estimation. Oversee architecture, execution, and delivery; mentor engineers; collaborate cross-functionally with controls, software, calibration, and product teams; apply agile methods; drive adoption of AI/ML, ensure performance, safety, and scalability, and report to senior leadership.

Build and extend HIL platform software and services to validate AV perception, planning, control, and AI models. Develop tools for configuring, running, and debugging tests, deliver reliable code via CI and automated testing, and collaborate with cross-functional AV teams to translate validation needs into platform features.

Lead the development and optimization of the Android platform for the GM Infotainment system, mentoring teams and overseeing architecture.

Lead a cross-functional transformation team to redesign employee-facing HR and communications workflows using collaboration tools, AI, and automation. Define problems, prioritize roadmap, run discovery, ensure architectural compliance, drive adoption, measure success, and deliver sustainment and handoff to business owners.

Develop high-fidelity simulation scenarios and a gym environment for RL training to validate the autonomous driving stack. Drive developer experience, collaborate across large engineering teams, and deliver quality simulation tools and integrations for autonomy validation and model training.

Lead semiconductor category sourcing: develop and execute commodity strategies, negotiate contracts, manage supplier relationships, optimize supply performance, coordinate cross-functionally, and create contingency and protection-of-supply plans.

Lead design and delivery of scalable, reliable ML training infrastructure. Drive distributed training performance, observability, and developer experience across GPU and cloud environments. Own cross-team technical initiatives, set architecture and standards, mentor engineers, and influence platform roadmap to support large-scale model training.

Develop and scale high-fidelity hardware-in-loop validation platforms for AV software testing, ensuring reliability and enterprise usability. Collaborate on software development, requirements generation, and automated testing.

The Senior System Performance Engineer will optimize high-performance software components for GM's Autonomous Vehicle systems, mentor teams, and develop performance tooling and frameworks.