General Motors

Engineer

• Lead advanced technical work on engine, transmission and battery structures within the Advanced Structural Engineering team
• Establish fundamental learnings and develop designs through Advanced Technology Work (ATW)
• Lead creation and development of cylinder head, head gasket, engine block, transmission housing and battery structural concepts
• Evaluate design solutions and trade-offs for next-generation engine, transmission and battery structural requirements
• Serve as project technical lead for advanced propulsion structures and develop manufacturable designs meeting vehicle structural performance requirements
• Define the scope of structures designs and technologies to assess from ATW through the Balanced Architecture phase
• Partner with the Virtual Design, Development, and Validation analysis organization on tools for early structural-performance assessment
• Support implementation teams as designs are sourced and launched into production
• Benchmark automotive and other industries to identify and implement innovative future-vehicle technologies
• Collaborate with industry and startup companies to innovate battery module technology

Senior Advanced Structures Engineer

Full-stack Engineer

• Lead architectural design and execution of GM’s in-vehicle AI assistant application platform on Android Automotive OS
• Drive engineering execution, technical roadmaps, code quality standards, and system design best practices
• Architect scalable application interfaces and SDKs for downstream teams integrating specialized AI tools and vehicle capabilities
• Implement hybrid edge-and-cloud architecture for low-latency on-device processing and cloud AI/ML services
• Establish and scale automated testing, CI, and validation infrastructure across vehicle builds
• Integrate model training and evaluation pipelines, system benchmarking, and quality feedback loops into platform deployment
• Optimize voice and text response latency, memory footprint, and in-vehicle system responsiveness
• Design application contracts using AIDL and IPC mechanisms
• Collaborate with product management and user experience teams to translate customer interactions into platform capabilities

Staff Software Engineer – Vehicle AI

Human Resources

• Conduct impartial, fact-based investigations of suspected misconduct and policy violations, including discrimination, harassment, retaliation, bullying, and Winning with Integrity policy violations
• Own the end-to-end investigation process from planning through closure, including fact-finding, analysis, and report writing
• Develop investigation plans covering scope, participants, and timelines
• Execute and document investigations according to professional standards and GM protocols
• Communicate investigation results clearly and promptly to HR, leaders, Legal, and other stakeholders
• Collaborate with HR, Labor Relations, Legal, Audit, Security, Operations, and other functions
• Partner with HR Policy on post-investigation strategies, employment-action equity, and proactive training efforts
• Draft concise, high-quality reports synthesizing facts, policy standards, analysis, and case conclusions
• Manage case documentation, evidence handling and storage, record retention, and investigation quality standards
• Investigate alleged misconduct at Leadership’s direction while balancing urgency and quality
• Maintain timely communication with personnel involved in investigations and projects
• Evaluate internal controls and related procedures for people, policy, and culture improvements
• Recommend changes to improve investigative efficiency and effectiveness

Investigator, Employee Relations

Architect

• Own the solution context and act as the Chief Architect for functional subsystems of the BHV Agile Release Train
• Develop and drive the requirements architectural vision and ART solution context
• Connect desired functionality to software implementation and ensure integration with hardware components
• Lead contact for the BHV Engineering Pillar of the High Voltage Product Team
• Define functional architecture vision, feature/epic decomposition, supporting technologies, interfaces, APIs, deployment requirements, and functional/non-functional requirements
• Lead prioritization of the TFRP roadmap with Systems Engineering and the Product Team
• Pursue innovation opportunities in the assigned domain
• Own cross-functional FMEA linkage
• Develop and approve system architecture requirements, models, and diagrams
• Lead architecture-level development and testing
• Oversee lifecycle engineering activities and ensure consistency and traceability of system requirements
• Ensure robust, cost-effective validation strategies compliant with quality requirements
• Lead technical solution discussions, product demonstrations, and leadership reporting
• Guide SSLE requirements work and mentor/coaching SSLEs
• Support SSTS technical requirements and BTS behavioral requirements development
• Collaborate with technical specialists, system and software architects, and SSLEs to flow requirements architecture into ART features and enable story creation
• Provide technical direction to agile teams throughout ART processes
• Serve as subject matter expert for requirements architecture and the ART domain
• Guide requirements management, diagnostic development, FMEA development, and acceptance criteria definition
• Attend ART and scrum meetings
• Support subsystem/solution requirements and validate system performance
• Review and update the work backlog, determine technical feasibility, and estimate workload
• Support resolution of critical functional, regulatory, compliance, and customer satisfaction issues
• Facilitate closure of requirements-related PRTSs
• Participate in Communities of Practice and share lessons learned, best practices, and intellectual property/results

Functional System Architect

• Define and own end-to-end architecture for GM’s In-Vehicle AI Assistant platform across Android client applications and cloud backend integration services
• Drive cross-functional technical strategy with Cloud AI/ML, In-Cabin UX, Product Management, Security, and Data Engineering teams
• Architect hybrid edge-cloud orchestration, balancing on-device latency, network bandwidth, cloud compute cost, and offline reliability
• Establish engineering standards and API protocols for real-time client-server communication using gRPC and streaming audio/text interfaces
• Evaluate and integrate AI/ML agent frameworks, large language model orchestrators, and tool execution engines
• Resolve architectural dependencies and trade-offs involving reliability, privacy, and data streaming
• Drive platform-wide testing, evaluation pipelines, and telemetry standards
• Measure voice latency, response accuracy, and system health
• Mentor Staff and Senior engineers across client and backend disciplines
• Shape the multi-year technical vision for GM’s in-cabin assistant platform

Principal Software Engineer – Vehicle AI

Machine Learning Engineer

• Develop automation and tooling for labeling workflows and data quality, including efficiency dashboards, automated quality assurance, and autolabel review tools
• Collaborate with ML engineers to design and integrate ML-driven data annotation, including pre-labeling, autolabeling, and active learning loops
• Help evolve labeling workflows from human-only processes toward machine-led labeling at scale
• Design, implement, and test scalable, high-performance user experiences and services using modern full-stack and/or frontend technologies
• Ship features across multiple product surfaces to improve the speed and accuracy of data labeling for new models and cities
• Apply production engineering practices including code review, automated testing, observability, CI/CD, and incremental delivery
• Use AI-assisted development workflows such as code assistants, automated documentation, test generation, and operational triage while maintaining code and product quality
• Partner with labelers, ML engineers, Product Operations, Product Management, Data Science, and other cross-functional teams to improve the platform

ML Systems Engineer, Data Labeling Engineering – Early Career

• Communicate and maintain Master Data, Metadata, Data Management Repositories, Logical Data Models, and Data Standards
• Assemble large, complex data sets meeting functional and non-functional business requirements
• Identify, design, and implement internal process improvements
• Automate manual processes and optimize data delivery
• Redesign infrastructure for greater scalability
• Build industrialized analytic datasets and delivery mechanisms using the data pipeline
• Deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

Staff Engineer

• Design and build knowledge distillation pipelines transferring reasoning, vision, and language capabilities into compact edge-deployable architectures
• Apply and scale parameter-efficient fine-tuning techniques such as LoRA and QLoRA
• Build and own the reinforcement learning flywheel using human-in-the-loop alignment with RLHF/DPO
• Connect in-cabin data collection with continuous model improvement
• Curate, evaluate, and synthetically generate datasets for passenger intent and complex in-vehicle visual cues
• Implement Quantization-Aware Training and related techniques to prevent accuracy degradation during hardware compression
• Establish evaluation frameworks and benchmarks measuring hallucination rates, domain accuracy, and safety constraints
• Own the base model strategy and decide which foundation architectures to use
• Set architectural direction for model optimization pipelines as an individual-contributor technical leader
• Validate AI capabilities on representative vehicle hardware and chart practical paths to scale

Staff AI/ML Software Engineer, Model Distillation, Fine-Tuning

Software Engineer

• Support Manufacturing Engineering activities, contributing to the development, implementation, improvement, and validation of processes in Stamping, Tooling, Body, Paint, Polymers, and Quality Assurance.
• Support the planning and implementation of processes, equipment, materials, and product changes.
• Monitor tests, tryouts, validations, and launches of new programs, models, and colors.
• Analyze process and product issues, identify root causes, and support the definition of corrective actions.
• Prepare and update process documentation, including work instructions, control plans, PFMEAs, specifications, and technical reports.
• Collect and analyze production, quality, material consumption, and process performance data.
• Identify opportunities to reduce losses, improve productivity, standardize processes, and reduce costs.
• Collaborate with Production, Quality, Maintenance, Safety, Purchasing, Logistics, Product Engineering, and suppliers.
• Monitor plant activities and verify that processes, equipment, and materials are ready for production.
• Support the management of project schedules, costs, investments, and deliverables.
• Participate in technical meetings with local, regional, global, and supplier teams.
• Analyze layouts, 3D models, and tooling concepts, ensuring machine access, quality, ergonomics, safety, and performance requirements.
• Perform process and robotics simulations using software such as Process Simulate.

Manufacturing Engineering Analyst

Engineering Manager

• Lead, coach, and develop a team of antenna and RF hardware engineers
• Establish technical direction for complex antenna and RF front-end development programs
• Guide simulation, measurement, validation, and root-cause investigations
• Contribute directly to antenna and RF design, simulation, testing, and troubleshooting
• Represent antenna and RF engineering in technical reviews and cross-functional forums
• Drive prioritization, resource planning, and execution across multiple development programs
• Lead antenna systems supporting cellular, GNSS, Wi-Fi, Bluetooth, V2X, satellite radio, and emerging wireless technologies
• Guide RF front-end architecture development, including LNAs, matching networks, filters, diplexers, and multiplexers
• Support electromagnetic simulation, RF analysis, and performance optimization
• Correlate simulation, laboratory testing, and vehicle-level performance
• Drive design-for-manufacturing, design-for-test, and reliability considerations
• Oversee prototype development, validation testing, and design verification
• Support PCB design reviews, component selection, grounding, shielding, and RF optimization
• Lead tolerance studies, sensitivity analysis, and worst-case performance assessments
• Define technology roadmaps, engineering requirements, and execution plans with product teams
• Address RF desense, coexistence, interference, and noise challenges
• Collaborate with mechanical, manufacturing, quality, supply chain, test, and software teams
• Engage suppliers and technology partners to advance antenna solutions and sourcing strategies
• Influence technical decisions across vehicle programs and align with customer experience objectives
• Report to the Senior Manager, Antennas

Engineering Manager, Antenna & RF Hardware

• Define and drive the long-term technical strategy, architecture, and roadmap for AV HIL software platforms and integration services
• Lead the design and evolution of scalable, reliable, observable, and hardware-aware HIL capabilities for AV software validation
• Establish architectural direction and technical standards for platform services, APIs, service reliability, test automation, performance, and operational excellence
• Own complex technical problems spanning AV software, AI models, vehicle hardware, infrastructure, middleware, operating systems, and deployment pipelines
• Translate organizational and customer needs into technical strategies, measurable outcomes, platform requirements, and delivery plans
• Influence technical decisions across the AV organization and align senior technical leaders, product stakeholders, and partner teams
• Deliver software and platforms through requirements generation, design reviews, continuous integration, automated testing, observability, issue management, release readiness, and operational support
• Improve platform scalability, utilization, fidelity, developer productivity, and cost efficiency
• Contribute hands-on to critical software designs and implementations
• Mentor and develop engineers and strengthen technical communities of practice
• Help shape hiring and talent-development strategies
• Represent AV HIL Software Platforms in architecture reviews and technical planning forums
• Travel less than 25%

Staff Software Engineer

• Lead development of technical solutions for current, new, and major upcoming programs, including requirements specification, system decomposition, design, implementation, test strategy, and issue resolution
• Lead software design for the system team and drive software anomaly investigation, root cause analysis, corrective action, and verification
• Perform complex design analysis and make engineering tradeoff decisions across functionality, quality, maintainability, scalability, performance, and safety
• Develop embedded C++ software on a telematics unit, including safety-critical components and connected-vehicle capabilities
• Debug software and system behavior in vehicles, laboratories, and integration environments
• Work directly with suppliers on ticket resolution, technical clarification, validation follow-through, and closure of field or integration issues
• Provide and reinforce software engineering best practices across the development community
• Act as a subject matter expert for a platform area, subsystem, or application component
• Contribute to architecture and design reviews and support system-level technical direction
• Investigate issues, execute feature work and problem solving, and report workstream status when projects encounter risk
• Help onboard and support newer engineers
• Own or serve as go-to contact for telematics application software, connected services, vehicle network communication and diagnostics, cellular connectivity workflows, supplier issue resolution, and integration/validation support

Senior Software Engineer – VEEComm

Customer Success Manager

• Lead growth, CRM, and product adoption initiatives
• Drive user acquisition, activation, conversion, retention, and lifecycle performance through data-driven strategies
• Manage agencies and partner with Product, Finance, Digital Transformation, Sales, and commercial teams
• Translate global strategies into effective local execution
• Own CIB management
• Support short-, mid-, and long-term sales forecasting
• Provide visibility into effective and profitable growth channels
• Increase user acquisition through existing databases and growth mechanisms
• Improve onboarding, activation, and conversion rates
• Optimize customer journeys and marketing automations
• Increase product adoption and recurring engagement
• Build a repeatable and scalable growth engine
• Improve forecast accuracy and channel performance visibility

Subscription Growth and CRM Manager

Financial Planning and Analysis

• Analyze business performance against forecasts, budgets, and prior-year results to identify trends, risks, and opportunities
• Develop financial models and business cases supporting decision-making and profitability
• Prepare monthly reports and KPI dashboards with clear insights
• Support budget and Long Term Plan processes, including target setting and trend analysis
• Partner with cross-functional teams on financial analysis for key initiatives and new business opportunities
• Communicate financial results and insights to senior leadership and stakeholders
• Execute and monitor assigned trade flows from transaction and master-data readiness through billing, documentation, and post-billing follow-up
• Perform daily billing activities in SAP and ensure accurate, timely, complete invoices
• Coordinate with customers, suppliers, logistics providers, and internal stakeholders to validate shipment, pricing, material, and billing information
• Create, maintain, and validate SAP master data and transaction records
• Validate prices, payment terms, and invoice details; escalate exceptions
• Prepare and monitor proforma information, shipment details, credit or debit notes, and other invoicing documentation
• Monitor shipment and billing plans, open items, exceptions, and order changes to support month-end close and forecasting
• Support new business flows and SAP changes through requirements validation, transaction testing, working-file updates, and operational-readiness confirmation
• Improve working files, templates, controls, and reporting tools; contribute to Lean, automation, and AI-enabled efficiency initiatives
• Prepare recurring reports and provide visibility into billing, trade-flow execution, issues, and follow-up while maintaining segregation of duties and escalating risks

Financial Planning & Analysis Analyst

• Perform day-to-day HR business activities and partner with business function counterparts on initiatives aligned with GM’s objectives, mission, and culture
• Partner with directors, executives, and business leaders to define talent identification and management strategies
• Improve working relationships, build engagement, increase output, and attract and retain talent
• Provide direction on restructures, transformation efforts, job design, workforce planning, and organizational planning
• Create a high-touch HR experience by supporting employees with questions, concerns, and engagement
• Communicate HR policies, procedures, laws, standards, and government regulations and provide guidance
• Support talent and performance management, including coaching, consulting, corrective actions, and crisis relations
• Support expatriate assignments and related HR matters
• Partner with Business HR on talent management, development, compensation, and calibration cycles
• Support complex employee relations issues and investigations with the Policy & Investigation COE
• Support onboarding and conduct exit interviews
• Analyze attrition data and develop corrective-action and continuous-improvement recommendations
• Facilitate or provide workforce training
• Consult on employee compensation and pay-for-performance and recognition programs
• Identify continuous-improvement opportunities and provide field perspective to influence HR processes and procedures