General Motors

Systems Engineer

• Shape and scale engineering platforms that build, test, integrate, validate, and deliver embedded software for software-defined vehicles
• Own architecture, technical roadmap, and execution strategy for significant platform capabilities or related initiatives
• Lead high-impact, multi-team technical efforts from problem definition through adoption and operationalization
• Establish reusable patterns, standards, quality controls, and developer experiences
• Make architectural decisions across embedded, real-time, cloud, simulation, test, and release environments
• Use engineering data and operational signals to prioritize improvements in reliability, feedback time, quality, and developer productivity
• Influence and align engineering, validation, cybersecurity, cloud, quality, program, and supplier stakeholders
• Remain hands-on in difficult technical problems while coaching, mentoring, documenting, and providing technical leadership
• Communicate tradeoffs, risks, progress, and recommendations to senior engineering and program leaders
• Define target-state architecture, phased roadmaps, and implementation priorities
• Lead architecture reviews, technical working sessions, design decisions, and cross-functional alignment
• Deliver or guide production-quality software, automation, platform components, and integrations
• Create standards and reusable patterns for product teams and suppliers
• Establish ownership, entry and exit criteria, operational expectations, and exception-management practices
• Instrument platforms, identify root causes, guide investment, and demonstrate measurable improvement
• Partner with embedded software, vehicle integration, validation, developer experience, cloud, cybersecurity, artifact management, and program delivery teams
• Coach senior engineers and grow technical leadership across the organization

Staff Software Engineer – Embedded Software Platform

• Set multi-year technical direction and target-state architecture for cross-domain engineering platform capabilities
• Define strategy, investment priorities, sequencing, principles, standards, governance, reliability expectations, and decision frameworks
• Resolve ambiguous architectural tradeoffs spanning organizations, product lines, suppliers, technology stacks, and delivery cadences
• Improve engineering effectiveness and product outcomes through platforms, automation, reusable patterns, data, and operating models
• Influence senior and executive leaders through recommendations grounded in technical judgment, risk, cost, quality, and business impact
• Lead through principal and staff engineers, develop technical leaders, and strengthen communities of practice
• Remain technically credible and selectively hands-on in high-value or high-risk problems
• Define future-state architecture and multi-year roadmaps for the assigned domain and adjacent interfaces
• Lead resolution of cross-domain technical risks involving architecture, quality, security, reliability, cost, scalability, and delivery continuity
• Advise leadership on investments, program risk, platform health, and enterprise tradeoffs
• Convene architecture reviews and technical communities across engineering, validation, cloud, cybersecurity, quality, program management, and suppliers
• Sponsor platform capabilities, automation, data models, and self-service experiences
• Define success measures and use evidence to prioritize improvements and verify impact
• Represent GM’s technical direction with internal and external partners while maintaining high standards for safety, quality, security, and customer impact

Principal Software Engineer – Embedded Software Platform

• Lead and develop a team of autonomy behavior systems engineers
• Set systems engineering and validation direction for major capabilities and cross-cutting behaviors
• Connect requirements, coverage, simulation validity, metrics, acceptance criteria, and release evidence
• Guide scalable behavior evaluation and simulation systems across synthetic tests, road data, and counterfactual references
• Oversee scenario sourcing, orchestration, data quality, and reproducibility
• Partner with Engineering, Safety, Legal, Product, and Operations to resolve ambiguity and build alignment
• Communicate recommendations for engineering, release, and launch decisions

Systems Engineering Manager – Autonomy Behavior

Scheduler

• Perform end-to-end Order Fulfillment activities related to scheduling and sequencing for GM car and truck brands
• Execute weekly product schedules that optimize supply chain schedules, support business objectives, and minimize unplanned costs
• Provide assembly plants with accurate weekly production order sequences
• Lead cross-functional collaboration addressing supplier capacity, assembly plant, and engineering restrictions affecting dealer-facing constraints
• Support the Allocation & Dealer Consensus Process and weekly Dealer Order Submission Process
• Support corporate scheduling initiatives that optimize cash flow, improve customer satisfaction, and drive sales and revenue growth
• Analyze complex scheduling challenges, develop solutions, and communicate direction to cross-functional stakeholders
• Participate in Order Fulfillment Vertical and Launch Team meetings, contributing insights, driving actions, and summarizing issues and updates
• Identify, implement, and share best practices improving scheduling, sequencing, team effectiveness, operational performance, and customer experience
• Provide subject matter expertise and feedback for systems, tools, processes, and business capabilities, including User Acceptance Testing (UAT)
• Consider impacts of decisions on customers, dealers, manufacturing, and supply chain partners
• Demonstrate leadership, accountability, adaptability, innovation, inclusion, and customer focus

Scheduler/Sequencer – GMNA Order Fulfillment

Engineer

• Lead the Vehicle Performance Integration Team and VPIT/Dev-Val reviews
• Make data-driven decisions on relevant vehicle performance topics
• Guide vehicle performance balance across integration groups and serve as the program’s single point of performance integration
• Participate in GVBR planning for Mule, IVER, and PPV vehicle builds
• Provide tuning direction and prioritization for Energy, Vehicle Dynamics, NVH, Drivability, and overall vehicle performance
• Ensure integration is completed on time for production milestones
• Manage and prioritize IVER shared property usage to complete tuning releases and validation on schedule
• Manage vehicle technical specifications and development/validation to requirements
• Participate in change control for all vehicle systems
• Manage vehicle development fleet usage and counts within annual budget allocation
• Lead vehicle buy-off rides with vehicle performance status and issue lists
• Support the Global Vehicle Chief Engineer through VAPIR and PET meetings and reviews
• Communicate vehicle performance execution updates to leadership
• Support development of processes, tools, and future capabilities for defense ground vehicle development
• Work directly with government customers and defense industry technical partners
• Coordinate and lead onsite customer visits and evaluations at MPG or Warren
• Support testing at customer facilities, including Army bases, Aberdeen, NATC, and Yuma
• Adhere to all safety precautions and requirements

Staff Lead Development Engineer – GM Defense

Data Analyst

• Develop and standardize best practices for continuous monitoring of emerging safety issues
• Strengthen data-analytics support for safety investigations through improved methods, automated tools, and feedback loops
• Analyze signals, patterns, and trends in large and complex data sets to identify potential safety issues
• Support anomaly detection, diagnostics, prognostics, and root cause analysis for safety-related topics
• Design, build, and maintain repeatable analytical workflows using Python, SQL/Spark, Databricks, and related tools
• Identify automation opportunities and implement solutions using custom software, reusable code, data pipelines, and off-the-shelf technologies
• Prepare visualizations, summaries, and presentations for technical and non-technical audiences, including senior leadership
• Communicate assumptions, methods, limitations, and findings to support decision-making
• Build knowledge of vehicle safety technologies, their design intent and function, and intended field performance
• Work closely with business partners to understand challenges and needs, perform analyses, improve monitoring methods, and automate workflows

Data Scientist – Product Safety Data Analytics

Manager

• Lead the field quality and reliability strategy for the Pacific cluster
• Drive investigation, prioritization, root cause analysis, corrective actions, and preventive actions for field quality issues
• Oversee warranty-related topics and support decisions to optimize quality costs and operational efficiency
• Coordinate quality readiness for new product launches, including deliverables, milestones, test fleet evaluations, and quality reviews
• Analyze customer feedback, survey results, and warranty incident trends to identify risks and opportunities
• Coordinate field actions such as campaigns, port holds, and containment measures
• Partner with Customer Care and Aftersales, Product Engineering, Supplier Quality, Manufacturing, assembly plants, Legal, Finance, and global source teams
• Connect regional needs with global support teams through communication, escalation, and follow-through
• Represent the quality function in leadership forums and cross-functional discussions
• Develop team capability and foster a high-performance culture of accountability, collaboration, learning, and quality

Gerente de Calidad de Producto

Full-stack Engineer

• Define and build driver-facing capabilities from concept through production
• Own features end to end, from driver requests and conversational behavior through on-device fulfillment, vehicle integration, UI, validation, and iteration
• Write production Kotlin and contribute to Python-based agent definitions, NLU, LLM orchestration, APIs, and connected services
• Rapidly prototype experiences, evaluate them in realistic vehicle environments, and turn successful ideas into reliable products
• Partner with Product, UX, conversation design, vehicle software, systems, platform, safety, privacy, and validation teams
• Make pragmatic tradeoffs involving customer value, speed, reliability, latency, offline behavior, resource constraints, maintainability, and driver distraction
• Diagnose complex issues across application, assistant, vehicle, and cloud boundaries
• Use AI-assisted development workflows for design, implementation, testing, debugging, and codebase understanding
• Establish reusable engineering patterns and lightweight workflows
• Mentor engineers through implementation, design reviews, code reviews, and direct technical collaboration
• Help shape the roadmap for in-vehicle AI experiences and identify opportunities from emerging technology
• Staff scope: independently own a major capability or product domain and lead ambiguous cross-functional initiatives
• Principal scope: shape technical and product direction across multiple capabilities and resolve architectural and organizational boundaries

Staff/Principal Software Engineer, In-Vehicle AI Experiences

QA Engineer

• Ensure end-to-end over-the-air software delivery reliably downloads and updates vehicle software across GM-developed vehicles
• Utilize sub-system test bench environments to verify critical and complex features throughout major vehicle development milestones
• Develop and execute test plans and procedures on sub-system benches
• Author automation test scripts
• Build, maintain, and manage test environments for manual and automated test runs
• Triage system-level nonconformities to the appropriate module or back-office system by acquiring and analyzing data logs
• Document anomalies using company-standard issue tracking tools
• Follow issue resolution from origination through verification, closure, and monitoring
• Collaborate with design, systems, suppliers, and back-office teams
• Support on-time and quality software launches

Software Integration Quality Engineer

• Define, implement and optimize system testing for ADAS platform software
• Deliver integrated hardware, software and calibration for Development, Production and Service according to standard processes
• Support software teams in developing and executing Key Behavior Tests and Milestone Tests manually and through automation
• Lead testing, automation and issue-resolution activities and guide team members
• Verify control module functionality on benches and in vehicles, including perception, lateral and longitudinal control, mapping and localization systems
• Develop test protocols and scripts for hardware and software integration validation
• Support continuous development of test features, processes and methodologies
• Collaborate with multiple agile teams to deliver end-to-end products and features from conception through delivery
• Mentor junior team members through coaching and guidance
• Support Problem Resolution and Tracking Systems and Global Incident Management
• Participate in development trips, assembly plant activities, prototype shops, garages and fleet testing; less than 10% travel

Senior Integration and QA Engineer

• Develop and standardize best practices for continuous monitoring of emerging vehicle safety issues
• Strengthen data-analytics support for safety investigations through improved methods, automated tools, and process-improvement feedback loops
• Perform statistical analyses and deliver sound, unbiased, actionable results
• Analyze signals, patterns, and trends in large, complex datasets to identify potential safety issues early
• Apply time series, categorical data, sampling, and multivariate analysis methods
• Support anomaly detection, diagnostics, prognostics, and root cause analysis for safety-related topics
• Identify, design, and implement automation opportunities using custom software and off-the-shelf solutions
• Develop scalable automated analytical tools, data workflows, and monitoring approaches
• Communicate findings and concise, data-driven stories to stakeholders from analysts to senior leadership
• Provide technical guidance and mentorship across the team
• Work independently on complex assignments while collaborating across functions
• Apply business acumen and technical judgment to strengthen hazard-monitoring analytics support

Senior Data Scientist – Product Safety Data Analytics

• Provide engineering support for AV Operational Safety and Issue Response
• Respond collaboratively to AV Safety Strategy and Assurance and AV Operations requests for issue-specific analyses, event-related data organization, and root-cause investigations
• Collaborate with Engineering, Operations, and Safety teams to investigate potential AV issues and conduct root-cause analyses
• Translate investigation needs into analysis requirements, data requirements, analytical designs, and execution plans
• Establish and support rapid incident-response and targeted-analysis capabilities using standing data pipelines and unique issue- and incident-relevant data sources
• Integrate vehicle telemetry, time-series signals, event and incident records, readiness-drill data, software-release information, location and operational context, and other sources into analysis-ready datasets
• Distinguish data-quality, sensor, instrumentation, and pipeline issues from meaningful operational outliers using engineering judgment and data validation methods
• Deliver concise, technically rigorous analysis findings, readouts, and evidence to help assess operations safety issues and determine next steps
• Identify investigation workflows that can become reusable metrics, detection methods, pipelines, or analysis tooling
• Apply engineering and physics-based methods, including signal decomposition, filtering, smoothing, sampling, and feature construction, to transform noisy signals into meaningful representations of vehicle behavior and system performance

Safety Data Analysis Engineer – AV Operational Safety, Issue Response

• Set multi-year technical direction and target-state architecture for broad, cross-domain engineering platform capabilities
• Identify systemic constraints and define strategy, investment priorities, and sequencing across the software lifecycle
• Resolve consequential architectural tradeoffs spanning organizations, product lines, suppliers, technology stacks, and delivery cadences
• Establish enterprise principles, standards, governance, reliability expectations, and decision frameworks
• Create leverage through platforms, automation, reusable patterns, data, and operating models
• Influence senior and executive leaders with recommendations grounded in technical judgment, risk, cost, quality, and business impact
• Lead through other technical leaders by developing principal and staff engineers and strengthening communities of practice
• Remain selectively hands-on in high-value or high-risk technical problems
• Define future-state architecture and multi-year roadmap for the assigned domain
• Establish decision rights and alignment across independent teams and delivery organizations
• Lead resolution of cross-domain risks involving architecture, quality, security, reliability, cost, scalability, and delivery continuity
• Advise senior and executive leadership on investments, program risk, platform health, and enterprise tradeoffs
• Convene architecture reviews and technical communities across engineering, validation, cloud, cybersecurity, quality, program management, and suppliers
• Sponsor platform capabilities, automation, data models, and self-service experiences
• Define success measures and use evidence to prioritize improvements and verify impact
• Mentor staff- and principal-level engineers and strengthen the technical leadership pipeline
• Represent GM’s technical direction with internal and external partners
• Travel less than 25%

• Shape and scale engineering platforms for building, testing, integrating, validating, and delivering embedded software for software-defined vehicles
• Own architecture, technical roadmaps, and execution strategies for significant platform capabilities
• Lead multi-team technical efforts from problem definition through adoption and operationalization
• Establish reusable patterns, standards, quality controls, and developer experiences
• Make architectural decisions across embedded, real-time, cloud, simulation, test, and release environments
• Use engineering data and operational signals to prioritize reliability, feedback-time, quality, and developer-productivity improvements
• Align engineering, validation, cybersecurity, cloud, quality, program, and supplier stakeholders
• Provide hands-on technical leadership, coaching, mentoring, documentation, and enablement
• Communicate tradeoffs, risks, progress, and recommendations to senior engineering and program leaders
• Define target-state architecture, phased roadmaps, and implementation priorities
• Lead architecture reviews, technical working sessions, design decisions, and cross-functional alignment
• Identify manual handoffs, duplicated work, late integration points, unreliable signals, and systemic sources of delay or quality escapes
• Deliver or guide production-quality software, automation, platform components, and integrations
• Create standards and reusable patterns for product teams and suppliers
• Establish ownership, entry and exit criteria, operational expectations, and exception-management practices
• Instrument platforms, identify root causes, guide investment, and demonstrate measurable improvement
• Partner with embedded software, vehicle integration, validation, developer experience, cloud, cybersecurity, artifact management, and program-delivery teams
• Coach senior engineers and grow technical leadership across the organization

Security Engineer

• Own and evolve security design for in-vehicle communications, including message authentication (SecOC), in-vehicle firewalls, and in-vehicle Ethernet security
• Translate threat assessments and architectural decisions into clear, testable security requirements for engineering and supplier teams
• Right-size requirements against supplier and platform capability, adjusting scope when requirements are not achievable
• Lead and support security design and implementation reviews across internal teams and suppliers
• Keep security design and specifications current with software-defined vehicle delivery timelines and platform changes
• Serve as a subject-matter expert for in-vehicle communications security
• Build self-service references so the broader team can scale
• Drive requirements and blocked items to closure
• Balance security rigor against supplier capability and vehicle program timing
• Collaborate with engineers to build security early in the development process

Staff Software Engineer – Embedded Software Platform

Principal Software Engineer – Embedded Software Platform

Systems Engineering Manager – Autonomy Behavior

Scheduler/Sequencer – GMNA Order Fulfillment

Staff Lead Development Engineer – GM Defense

Data Scientist – Product Safety Data Analytics

Gerente de Calidad de Producto

Staff/Principal Software Engineer, In-Vehicle AI Experiences

Software Integration Quality Engineer

Senior Integration and QA Engineer

Senior Data Scientist – Product Safety Data Analytics

Safety Data Analysis Engineer – AV Operational Safety, Issue Response

Principal Software Engineer – Embedded Software Platform

Staff Software Engineer – Embedded Software Platform

Senior Product Cybersecurity Engineer – Secure Product Architecture