General Motors

Application Engineer

• Develop, test, validate, integrate, and release Virtual Mechatronics Control Units (vMCUs) for Software Defined Vehicle (SDV) architecture in future GM passenger vehicles
• Act as the main technical contact for model components and parameters, software images, and testing and validation of vMCUs
• Plan, test, validate, and release vECU Level 4 model task functionalities and periodicities
• Work with RTOS, CAN, LIN, Automotive Ethernet, UDP, TCP, SPI, and UART protocols

Application Engineer – vECU Development

SDET

• Define and drive the technical vision for DevOps and Software Quality Automation tooling across the software development lifecycle
• Architect and evolve tooling connecting requirements, BTS generation, script generation, test execution, coverage feedback, and software quality reporting
• Lead cross-functional initiatives improving test effectiveness, efficiency, traceability, and system-test readiness across ARTs and organizations
• Design and implement scalable CI/CD and automation solutions
• Support and influence the transition of System Testing into ART ownership
• Establish workflows strengthening end-to-end traceability from requirements through validation outcomes
• Align tooling roadmaps, priorities, and adoption strategies across engineering and platform organizations
• Identify gaps in quality tooling, automation, and workflow integration and create practical solutions
• Define, track, and influence KPIs for tool adoption, test coverage, signal effectiveness, CI/CD throughput, and quality outcomes
• Serve as a subject matter expert for software quality automation, DevOps tooling, BTS quality, BDDU/BDDbot enablement, and platform integration
• Mentor engineers and influence technical decisions across teams without direct authority

Staff DevOps Architect, Software Quality Automation

Infrastructure Engineer

• Design and develop scalable, reliable, high-performance ML frameworks for model training at scale
• Analyze and optimize model-training performance across distributed training workflows and heterogeneous hardware
• Maximize resource utilization and reduce costs
• Improve system observability, debuggability, operational excellence, and user experience
• Collaborate with machine learning engineers, research scientists, and cross-functional partners
• Integrate new features and technologies into the ML platform
• Enable advanced AI research and model development for intelligent driving technologies across General Motors vehicles

Senior Machine Learning Engineer – ML Training Infrastructure

Electrical Engineer

• Collaborate with GM groups and partners supporting Sports Car racing programs to design, develop, test, and support electronic systems for vehicle functionality and performance
• Perform electronic system integration and testing on and off the car through simulation, track, and bench testing
• Travel to domestic and international events to develop and support electronic systems, including hardware, software, and tools
• Embed with a Sports Car racing team to provide frontline support and act as a communication conduit to the broader GM Motorsports organization
• Manage a dynamic workload to help GM race teams perform at the highest level
• Support virtual development and simulation environments, including SiL, HiL, and DiL
• Document customer requirements, identify integration methods, translate requirements into functional solutions, and validate changes
• Find and solve issue root causes, particularly in high-stress environments
• Manage projects, including issue triage and management

Motorsports Electronics Systems Engineer

Analyst

• Lead technical administration and day-to-day maintenance support for Planisware
• Coordinate issue resolution, user training, system updates, and platform health
• Improve tool reliability, usability, and governance with business and technical stakeholders
• Maintain documentation, access controls, and administrative processes
• Coordinate IT asset management, software requests, and end-user technology needs
• Bridge business needs with enterprise IT processes and support teams
• Support compliance activities for Information Lifecycle Management, internal publications, and human subject research policies
• Maintain required processes, documentation, and internal controls
• Coordinate policy-related requests and reviews
• Identify compliance gaps, risks, and follow-up actions
• Oversee SharePoint governance and maintain site content, structure, access, and usability
• Support content owners in following governance expectations
• Support operations dashboards, IP metrics, scorecards, and resource management reporting
• Maintain data quality, reporting consistency, and stakeholder visibility into key metrics
• Coordinate dashboard updates, enhancements, and recurring reporting
• Translate operational needs into dashboard and workflow improvements
• Support evaluation, adoption, implementation, maintenance, and user guidance for approved AI tools and workflows
• Support governance-aligned AI tool use, documentation, and process adherence

Information and Tools Analyst

Systems Engineer

• Organize the status of overall engineering deliverables during program execution
• Resolve math, build, and test issues related to engineering development
• Participate in development of a major global architecture from Pre-AFI through VPI
• Support design study reviews, issue resolution, Design Direction Reviews, Health Check Reviews, cost and mass deep-dive reviews, SMT Quality Plan development and execution, and SMT staffing plans
• Track and balance SMT Imperative targets for cost, investment, mass, and quality
• Resolve issues spanning different SMTs
• Participate in localized sourcing, cost and mass reduction, Auros, and PRTS closure initiatives
• Ensure the Regulatory Checklist, Manufacturing Requirements, and DFMEAs are complete, in place, agreed upon, and on time
• Participate in SMT engineering impact responses for Change Requests, including headcount impacts and GVDP gate readiness
• Ensure subsystem interface documents are completed and agreed upon on time
• Ensure the SMT is build-ready for upcoming events
• Coach and mentor Design Release Engineers
• Represent the SMT in PET, VAPIR, and VPIT meetings; lead SMT topics and support DREs presenting issues

Advanced Vehicle System Engineer

Producer

• Lead and manage the global visualization studio for General Motors
• Oversee the production lifecycle of visualization assets from concept through delivery
• Develop strategies to improve visualization efficiency and quality using Siemens Teamcenter and Viz Mockup
• Lead and mentor visualization professionals
• Build relationships with engineering, design, marketing, and external partners
• Ensure deliverables meet GM standards for color differentiation and accuracy
• Manage project timelines and resources using GSTS for tracking and reporting
• Identify and implement cost-effective visualization solutions
• Provide guidance on visualization techniques, injection moldings, and manufacturing processes
• Drive continuous improvement and monitor industry trends and best practices
• Own the end-to-end production model across brands and pillars
• Lead producer layers and establish project planning, resourcing, scheduling, and delivery expectations
• Partner with Brand Liaisons and Creative Leads on production logistics and delivery
• Maintain shared tools and review cadences for visible status, priorities, and ownership
• Drive consistent use of foundational 3D assets and standards across workstreams

Senior Manager, Head of Production, Global Visualization Studio

• Design, train, and evaluate ML perception models for object detection, semantic/instance segmentation, tracking, and short-horizon prediction using camera, lidar, and radar data
• Develop and maintain the secondary perception stack that enables the fallback autonomy system to bring the vehicle to a minimal risk condition
• Define ML success metrics and drive systematic experimentation to improve performance
• Analyze large-scale datasets, curate challenging scenarios, and develop data selection and labeling strategies
• Implement efficient training and inference pipelines, including pruning, quantization, and distillation
• Collaborate with software and infrastructure engineers to integrate models into production systems
• Translate system requirements into ML model requirements, metrics, and validation criteria with Safety, Systems Engineering, and Product
• Contribute to verification and validation through offline evaluation, simulation, hardware-in-the-loop, and on-road testing
• Participate in code reviews, promote engineering best practices, and mentor other engineers

Senior Machine Learning Perception Engineer – Fallback Driving System

Solutions Engineer

• Lead the development, integration, and execution of General Assembly manufacturing systems for new vehicle programs from pre-DSI through Contract Sign Off (CSO)
• Develop and communicate program-specific manufacturing strategies aligned with product, process, timing, and investment objectives
• Develop and maintain the Plan for Every Site (PFES)
• Evaluate Manufacturing Planning Studies and Manufacturing Studies with data-driven recommendations
• Establish manufacturing direction and processing concepts for assigned vehicle programs
• Drive solutions balancing investment, piece cost, labor, floor space, quality, safety, and launch timing
• Develop lean investment targets and total cost optimization strategies
• Evaluate and implement advanced manufacturing technologies, automation, and vision systems
• Lead program timing development and establish critical integration milestones
• Coordinate with engineering, manufacturing, automation, controls, paint, processing, execution, installation, and launch teams
• Partner across organizations to develop integrated vehicle manufacturing solutions
• Remove organizational barriers and resolve escalated program issues
• Serve as the primary technical liaison between General Assembly and associated functional organizations
• Lead root cause investigations for complex manufacturing and integration issues
• Drive continuous improvement focused on safety, quality, efficiency, and cost reduction
• Present manufacturing strategies, recommendations, risks, and program status to leadership
• Facilitate alignment among cross-functional teams, program leadership, and manufacturing stakeholders

Manufacturing Systems Integration Engineer – Global General Assembly Engineering

• Deliver project management services supporting Die Engineering, die shops, and stamping plants
• Manage die procurement activities from Statements of Requirements and Requests for Quotes through Ariba Shopping Carts, verification tryout material, and change management
• Deliver ready-to-run, lean dies on time to stamping plant customers while meeting Body Shop quality requirements and program investment targets
• Engage in advanced engineering activities and source die/checking fixture work to suppliers
• Support supplier scoping meetings, provide engineering deliverables, and conduct vendor kickoffs and P2 production release reviews
• Support steel/aluminum procurement for primary die tryout material
• Bundle competitive bids and create quote packages for Purchasing
• Submit shopping carts and follow up with approvers through purchase order completion
• Provide supplier cost and timing to support engineering work orders through the Change Management Tracking process
• Manage batch changes and escalate to commodity managers when required
• Support the flowback process by providing cost and timing to the launch team
• Drive and support business plan initiatives in safety, people, quality, responsiveness, cost, and environment

Integration Engineer – Manufacturing Engineering

Procurement

• Develop and execute purchasing strategies based on business, market, and technology trends
• Establish a strong and competitive semiconductor supply base
• Purchase productive and/or non-productive materials, supplies, machinery, tooling, and services
• Negotiate prices, terms, and other items to complete contract packages
• Optimize supply performance using benchmarking, cost and value-chain analysis, negotiations, and supply-chain analysis
• Collaborate with internal and external cross-functional partners during RFQ management, change management, Procure to Pay, order fulfillment, and customer satisfaction activities
• Drive business-focused winning outcomes
• Develop and manage supplier relationships
• Communicate proactively and resolve issues
• Develop supply-protection and contingency plans
• Lead commodity strategies, sourcing and negotiations, budget, and execution for memory products
• Collaborate with engineering, legal, finance, operations, suppliers, and other stakeholders to drive alignment

Senior Global Sourcing Manager – Memory

Financial Planning and Analysis

• Act as program manager for an assigned SMT
• Partner with GM purchasing and cross-functional finance teams to verify budgets and forecasts
• Communicate with purchasing leadership, business planners, budget leaders, and executive stakeholders
• Provide financial control over GM spend and monitor long-term volume forecasts
• Work with PPCO cost engineering and value chain engineering teams on supplier claims and opportunities
• Analyze and submit monthly forecasted material cost changes
• Support month-end reporting
• Analyze vehicle-level material cost trends and identify forecast risks and opportunities
• Prepare analyses and charts for finance and operational leadership reviews
• Participate in and support cross-functional special studies
• Act as an informal supervisor and leader among peers as needed

Finance Analyst – Commodity Function Lead

Operations

• Own day-to-day intercontinental inbound network execution across ocean, air, small parcel, and heavy-haul modes for the U.S. and Canada
• Lead and develop the Intercontinental Operations material logistics team and logistics service company partners
• Serve as the primary escalation point for critical intercontinental shipments and coordinate recovery plans
• Oversee premium transportation and claims interfaces for intercontinental, domestic, and rail moves
• Use logistics tools and dashboards to monitor network health, identify risks, and drive corrective actions
• Ensure standard processes and work instructions are followed and continuously improved
• Improve communication practices with origin and destination control towers
• Partner with Logistics Planning, Purchasing, Vehicle Command Center, and SCW/PFEP teams on capacity, transit times, spot-buys, dwell, and continuous improvement
• Support education and communication through playbooks, network updates, training tools, and reference documents
• Drive safety, compliance, and quality, including customs and regulatory adherence

Senior Operations Manager, Intercontinental

QA Automation Engineer

• Build and maintain a full-stack software platform across frontend, backend, and data layers
• Refactor prototypes into robust, production-grade code for high-volume transactions
• Apply automated testing, error handling, observability, and reliability practices to software, agentic frameworks, and automation pipelines
• Design complex workflows such as agentic frameworks and LLM chaining
• Manage API connections between predictive models, legacy systems, third-party platforms, and user interfaces
• Build agents and automations within Databricks, Glean, Azure AI Foundry, and Google tooling
• Implement logging, monitoring, and self-recovery mechanisms
• Document and evangelize engineering best practices and design patterns
• Coach other teams on building reliable, testable agents and automations
• Serve as the technical escalation point for complex code-related issues after deployment

Staff Automation – Platform Engineer

Manager

• Lead real-time identification, assessment, and prioritization of critical supply, logistics, quality, and capacity risks across GMNA operations
• Direct responses to high-severity events to minimize production downtime and customer impact
• Own escalation paths and align plants, GPSC, carriers, engineering, quality, and leadership
• Coordinate contingency playbooks and document decisions and outcomes
• Track and communicate critical cases through resolution across shifts
• Oversee 24/7 command center operations and coverage across all required shifts, weekends, and holidays
• Run or delegate daily huddles reviewing risk dashboards, open cases, launch timing, and staffing
• Ensure accurate updates using GSC tools, risk trackers, and crisis dashboards
• Standardize Command Center monitoring, reporting, follow-up, and launch-readiness routines
• Supervise Command Center Coordinators and related roles
• Develop talent through coaching, feedback, and standardized work
• Manage staffing, shift coverage, vacation scheduling, backup coverage, and onboarding
• Serve as the senior-leader point of contact during critical events and provide situation reports
• Facilitate cross-functional problem-solving with plants, GPSC, carriers, engineering, quality, finance, and customer teams
• Support executive reviews and readiness forums with Command Center insights and data
• Drive root-cause analysis and corrective actions for recurring issues
• Champion digital tools, alarms, dashboards, automated alerts, and workflow improvements
• Maintain playbooks, SOPs, and training materials
• Track and report metrics including avoided downtime, alarm response time, critical case volume, and aging