General Motors

Full-stack Engineer

• Define and lead corporate software strategy for new technology highly complex features or significant enhancements for current, new, or major programs
• Provide technical leadership to execution teams for development and integration
• Lead comprehensive design analysis of design solutions
• Lead integration and verification testing of an integrated software build
• Stay abreast of new technology and competitive products and define GM direction
• Provide, communicate, and support common best practices among the software community
• Specialize in cellular communication and define and develop software and systems using it

Staff Networking Software Engineer

Manager

• Lead accessory launch readiness activities for assigned vehicle programs from pre-release through launch and ready-for-sale milestones
• Facilitate launch readiness reviews, monitor program health, identify risks, and drive issue resolution
• Partner with Engineering, Marketing, Purchasing, Supplier Quality, Supply Chain, Sales, and Distribution teams
• Drive dealer and Limited Production Option readiness activities and ensure products are available through dealer ordering systems
• Participate in Accessory Product Execution Team meetings and program governance forums
• Develop and maintain launch readiness metrics, dashboards, timelines, and reporting materials
• Present readiness status, risks, mitigation plans, and recommendations to stakeholders and leadership
• Coordinate launch communications and product information with Accessory Distributor Installer partners
• Use launch and product management systems to monitor part readiness and track deliverables
• Support initial order quantity planning and product availability discussions
• Partner with Marketing to ensure launch assets, product content, and imagery are available

Accessories Assistant Manager – Launch, LPO Readiness

• Lead the creation, integration, and maintenance of simulation models, including plant models, sensor/actuator models, serial data networks, and controller representations
• Develop and maintain Battery HIL models and benches supporting BECM, cell balancing, contactor logic, diagnostics, thermal systems, and high voltage architecture behavior
• Plan and coordinate model updates, hardware upgrades, and test environment rollout for new features, new programs, and SDV2 architecture changes
• Ensure benches meet program timing, support feature development, and enable early detection of defects before vehicle integration

Senior Software Engineer – Battery HIL Simulation, Integration

Engineer

• Plan, develop, and execute subsystem-level tests in a world-class testing and development facility
• Lead cross-functional Product Development Teams and work with Technical Experts to improve design features, calibration strategies, and test methods
• Comprehend related ECU algorithms, calibration processes, and virtual metrics supporting hardware
• Collaborate with design, 1D analysis, and 3D analysis teams to achieve program goals
• Track development test units through the build process and support setup and debugging to assure test readiness
• Track and report testing progress and issues
• Develop and execute first-time-capable tests for calibration and hardware development
• Lead diagnosis and resolution of setup and testing issues
• Create and use post-processing tools to assure data quality and support final calibration or reports
• Develop, implement, and update standard work processes and procedures globally
• Interact with facilities, technical leads, calibration teams, hardware release engineers, and others to improve process and test efficiency
• Support migration of Road and Lab activities to math-based models and data analysis
• Train, mentor, and develop new engineers

Lead Development Engineer – Combustion

Artificial Intelligence

• Design, build, and scale enterprise integrations and data pipelines across General Motors
• Connect Serval integrations, SaaS platforms, enterprise AI tools, and GM core business systems through secure, reusable, scalable patterns
• Build reusable services, accelerators, and reference integration templates
• Align integration designs with data standards, identity guidelines, security policies, and operational requirements
• Partner with Security, Privacy, Identity, ILM, and Retention teams on sensitive or regulated-data workflows
• Evaluate integration requests and recommend approved platform, configuration, or custom-engineering approaches
• Define integration architectures covering system boundaries, data ownership, reliability, observability, failure handling, and sustainment
• Design, build, and maintain integrations using APIs, webhooks, scripts, connectors, middleware, and orchestration logic
• Define data mappings, transformation logic, exception handling, validation rules, and monitoring approaches
• Modernize legacy interfaces and workflows into scalable API-driven and event-based patterns
• Connect Serval integrations with identity services, reporting environments, asset repositories, enterprise applications, and approved AI platforms
• Support end-to-end workflows that move data and trigger actions across enterprise systems
• Troubleshoot multi-system integration failures and improve performance, reliability, and supportability
• Design and refine LLM prompts, context strategies, grounding approaches, structured outputs, guardrails, and validation steps
• Integrate LLM capabilities with applications, APIs, data sources, identity services, and downstream systems
• Support tool calling, workflow orchestration, human-in-the-loop controls, and exception handling for AI-enabled processes
• Evaluate and monitor prompt performance, workflow outcomes, and production behavior
• Design coexistence models for legacy, modern, and internal platforms during phased transformation
• Support cutover sequencing, permissions validation, metadata mapping, data validation, and post-deployment stabilization
• Identify integration risks and dependencies and coordinate mitigation across stakeholders
• Partner with transformation Product Leads and Technical Program Managers to integrate Serval and enterprise platforms into operational processes
• Provide technical leadership through design reviews, implementation guidance, troubleshooting, and engineering best practices
• Author technical designs, dependency maps, data mappings, interface specifications, runbooks, and handover materials
• Support validation, troubleshooting, hypercare, incident resolution, and early-adoption activities
• Improve integration governance, support models, reusable patterns, and future delivery approaches

AI Agent Engineer

• Develop new propulsion system architectures
• Lead cross-functional teams through Electrified Propulsion System Architecture development during the Advanced Technology Work (ATW) phase
• Continue hardware development through the Balanced Architecture (BA) phase until handoff to execution teams
• Balance vehicle and propulsion system hardware requirements
• Collaborate with vehicle, battery, drive unit, and motor engineers to align requirements and technology with customer expectations
• Develop propulsion systems to meet performance and cost targets with VDDV, Cost Engineering, and Planning
• Ensure high-fidelity analytical models, initial component designs, and controls for key electrification systems and components
• Lead component and system trade studies to optimize range, performance, drive quality, and cost
• Lead project teams through ATW and BA gates with SMTs, Vehicle teams, Planning, Finance, and Electrification leadership
• Benchmark automotive and other industries to identify innovative electric-vehicle technologies
• Document new ideas for invention board review and patent submissions to protect intellectual property

Senior Propulsion Performance Engineer

• Develop and enhance the autonomous mobile equipment (AME) data platform, including data portals, dashboards, robot and software-version tracking, regression reporting, and developer-facing tools
• Build scalable cloud-computing and data-pipeline capabilities for robot telemetry, calibration and configuration uploads, automated reporting, and production analytics
• Support OTA and ROC integration by connecting robot software release data, operational status, remote-support workflows, and fleet-level diagnostics
• Maintain and improve production data infrastructure across live manufacturing plants, including database reliability, upload pipelines, data-quality monitoring, and incident response
• Support AME GUI development, including operator-facing dashboards, diagnostic views, fleet-management tools, and data-intensive web interfaces
• Partner with autonomy, deployment, ROC, OTA, and plant teams to scale AME software and data capabilities across more than 300 production robots
• Deliver production-grade software with ownership of versioning, change control, observability, debugging, and on-call support to minimize factory downtime
• Champion performance, reliability, accessibility, and maintainability across the software ecosystem
• Represent factory operations in engineering reviews by translating technical KPIs into actionable insights for leadership and floor technicians

Robot Application Software Engineer

Solutions Engineer

• Support occupant protection and vehicle safety performance for GM Vehicle Programs
• Work with engineering functions, suppliers, and manufacturing groups to define action plans for vehicle passive safety performance
• Participate in design reviews and peer reviews
• Develop comprehensive validation plans, prepare confirmation testing, and perform post-test evaluations
• Evaluate test results and identify data anomalies
• Work with Senior Engineers to generate documentation, including test reports and Type Approval
• Maintain frequent communication with the working team, monitor action plans, and present performance status in regular forums
• Lead and support development and improvement of virtual and physical validation methods for safety performance
• Integrate solutions across multiple functional groups throughout the vehicle development process

Vehicle Safety Performance Integration Engineering Analyst

DevOps Engineer

• Partner with subject matter experts to define metrics, analytical objectives, thresholds, and decision criteria.
• Analyze vehicle, software, warranty, diagnostic, fleet, and product-quality data to identify trends, anomalies, relationships, and emerging risks.
• Design, test, and deploy anomaly-detection and pre-emptive-monitoring algorithms.
• Build end-to-end analytical pipelines that transform raw data into insights, dashboards, alerts, and operational workflows.
• Create customer-focused visualizations for engineering and quality teams to investigate fleet, VIN, and software-version issues.
• Develop alerting solutions for high-priority vehicle and product issues.
• Establish validation approaches using historical data, controlled testing, domain expertise, and real-world observations where appropriate.
• Communicate findings, assumptions, limitations, and recommendations to technical and non-technical audiences.
• Improve model, query, pipeline, and architecture performance, scalability, reliability, and cost efficiency.
• Standardize analytical processes and adopt modern Azure-based technologies.
• Support vehicle and software launches with readiness insights and analytical tools.
• Document analytical methods, data lineage, operating procedures, and known limitations.
• Contribute reusable patterns and best practices and mentor others.
• Deliver critical analytics features, pre-emptive monitors, trusted dashboards, and alerts for engineering, quality, warranty, and launch teams.

Senior Data Scientist – Vehicle Reliability Engineering

Robotics

• Develop and improve camera- and LiDAR-based localization algorithms for autonomous mobile robots
• Apply statistical estimation theory to improve localization accuracy, robustness, recovery behavior, and runtime performance
• Design and implement pose-graph and factor-graph optimization solutions
• Optimize localization software for accuracy, latency, reliability, and resource utilization on robotic platforms
• Investigate place-recognition techniques to improve loop-closure detection and recovery from localization drift
• Integrate localization capabilities with ROS 2 and other robotics middleware
• Collaborate across perception, mapping, path planning, controls, platform software, and deployment operations
• Diagnose field issues, reproduce failures, identify root causes, and deliver production-quality improvements
• Support localization enablement for new products and platforms through design, integration, validation, and deployment
• Follow continuous development and deployment practices, including code reviews, automated testing, performance evaluation, and release support
• Communicate technical decisions, trade-offs, risks, and results to technical and cross-functional stakeholders

Senior AI/ML Engineer – Robot Localization

• Lead the Product Development Team (PDT) for steering system components
• Manage the design, release, and integration of steering components into GM systems
• Complete program ICDs, DFMEAs, and Peer Reviews on time
• Oversee pre-production builds and ensure properties are shipped test-ready and aligned with program milestones
• Drive Design Validation using FEA, modal analysis, and virtual builds
• Identify root causes of design issues and implement solutions
• Refine design criteria and typical sections using math data
• Conduct trade-off studies and recommend program direction based on cost, mass, and timing
• Lead and support technical reviews with suppliers and internal teams
• Coordinate cross-functional activities with purchasing, manufacturing, and supplier quality teams
• Monitor warranty data and address emerging product issues
• Communicate with internal and external stakeholders
• Travel less than 25%

Senior Design Release Engineer – Chassis Steering

• Lead cross-functional teams to define and document thorough and efficient test scenarios
• Propose process enhancements using integration expertise
• Verify controller functionality on benches or vehicles using advanced testing methods and tools
• Troubleshoot, identify and root-cause issues in system features, controller hardware, software and calibrations
• Support technical specialists in resolving challenging system interaction issues
• Create action plans to root-cause elusive software issues by engaging cross-functional teams and presenting status updates to leadership
• Develop experimental software for proposed changes and perform integration testing independently
• Provide technical solutions and resolve software defects identified through testing
• Create and maintain a test matrix covering infrastructure-level, CG-based and application-level test cases on virtual hardware, benches and vehicles
• Develop automated test procedures for benches and vehicles
• Execute verification and validation testing to meet program milestones
• Provide testing status to leadership and program teams

Software Integration Engineer

• Develop tire and wheel content plans with Program Management and Design Studio
• Establish component requirements using design standards, engineering best practices, and program objectives
• Balance mass, cost, complexity, performance, and timing targets
• Create Statements of Requirements and technical documentation for sourcing
• Participate in technical reviews with Purchasing and suppliers
• Develop wheel concepts with Design Studio and ensure mathematical and engineering criteria are met
• Work with suppliers on production-feasible designs satisfying FEA, durability, performance, and validation requirements
• Lead Product Development Team meetings and coordinate cross-functional activities
• Manage production wheel development and validation activities
• Lead issue resolution using structured problem-solving and data-driven engineering analysis
• Manage component-level part releases and engineering changes
• Support launch readiness and resolve open technical issues

Design Release Engineer – Tire & Wheel Systems

Data Scientist

• Apply organizational research, behavioral science, and advanced analytics to study employee experience, engagement, sentiment, manager and team effectiveness, organizational health, workforce dynamics, and people interventions
• Partner with Employee Voice, People Analytics Consultants, HR Business Partners, COE leads, and business leaders
• Lead research projects from question formulation and study design through analysis, recommendations, and evaluation
• Develop reusable research methods and insights
• Partner with the solutions team on production ownership of recurring data products, models, and platforms
• Frame organizational questions, develop hypotheses, define outcomes, and identify decisions research should inform
• Design and execute quantitative and mixed-method studies using survey, cohort, longitudinal, multilevel, experimental, quasi-experimental, and causal methods
• Integrate employee, HRIS, talent, performance, movement, operational, open-text, interview, and focus-group data
• Conduct driver, segmentation, trend, and linkage analyses
• Evaluate people programs, manager initiatives, and organizational changes
• Contribute to workforce research and planning through scenario analysis and workforce-risk indicators
• Establish use cases, data requirements, methods, and governance for Organizational Network Analysis
• Assess emerging methods including text analytics and artificial intelligence
• Translate findings into recommendations, decision options, and measures of progress
• Produce research briefs, executive presentations, evaluation readouts, measurement frameworks, and analytical documentation
• Maintain reproducible, well-documented work through version-controlled code, transparent assumptions, quality checks, and clear limitations

Data Scientist – Employee Research

• Drive Zone Sales and Aftersales performance objectives
• Promote Local Market Association alignment through dealer and agency partnerships
• Lead communications supporting brand priorities and go-to-market strategies
• Build and develop DSM teams through interviews, coaching, and timely performance feedback
• Analyze Zone performance, market conditions, competitive activity, and dealer trends
• Develop data-informed strategies to improve sales, market share, dealer profitability, customer satisfaction, and dealer effectiveness
• Champion business development culture driving sales and aftersales opportunities
• Promote dealer engagement and execution in Tier 3 digital marketing initiatives
• Lead District Manager teams in optimizing inventory performance and turn rates
• Partner with the Accessory Distributor and Installer to advance accessory integration strategies
• Assist with Zone customer retention and conquest strategies
• Hold dealers accountable through business planning and action plans
• Oversee the Zone dealer network and facility image program compliance
• Champion Zone training performance and Sales excellence
• Promote a customer-centric culture
• Administer dealer contractual agreements and ensure compliance with performance standards
• Ensure adoption and utilization of dealership empowerment tools and resources
• Travel frequently to dealerships within the assigned territory