General Motors

Data Engineer

• Build and support data products powering analytics, AI, reporting, and operational decision-making
• Design and develop scalable pipelines that ingest, transform, curate, and publish high-volume operational data
• Create trusted datasets for aftersales data use and reuse
• Optimize data processing workloads for performance, scalability, reliability, and cost efficiency
• Implement data quality, governance, observability, and monitoring capabilities
• Build reusable frameworks enabling analysts and domain experts to operationalize SQL and Python solutions in a governed, scalable manner
• Partner with business stakeholders, analysts, architects, and engineers to transform requirements into trusted data products
• Mentor engineers and contribute to engineering standards and best practices

Senior Data Engineer

Manager

• Provide executive-level consulting, support, and analysis to dealers to grow Chevrolet’s market share within their areas of influence
• Communicate product marketing programs, sales plans, incentive programs, and associated benefits to dealers
• Deliver timely, clear responses to dealer questions and vehicle-sales requirements
• Conduct field visits with dealer sales personnel to support promotional activities, display areas, and brand presence
• Identify opportunities to grow the business for both Chevrolet and dealers
• Promote the development and implementation of dealer marketing strategies
• Conduct dealer field visits with management, sales teams, and dealer operators
• Ensure dealer compliance with corporate sales-operation standards

Business Manager

Procurement

• Maintain sourcing pipeline, benchmarking data, strategy presentations, global budget, and on-time metrics
• Adhere to corporate and departmental purchasing and accounting practices and procedures
• Develop and manage sourcing strategies and bid lists
• Analyze and review quotes
• Coordinate and align RFQ package components, including Terms & Conditions, SOR compliance, technical documentation, and quality alignment
• Lead sourcing recommendations and alignment with cross-functional teams
• Manage sourcing documentation related to the RFQ process in accordance with GM Audit Services requirements
• Support direct material budget activities
• Lead or support supplier relationship management initiatives, including Strategic Supplier Engagement
• Act as a focal point for commercial issue resolution and nurture supplier relationships
• Perform change management activities
• Lead or represent purchasing in supplier KPI reviews
• Represent purchasing and support mitigation of supply chain disruptions
• Promote GM behaviors and values and make customer-focused decisions

Global Sourcing Manager

• Purchase productive and/or non-productive materials, supplies, machinery, tooling, and services
• Participate in developing commodity strategies
• Lead complex global sourcing and negotiations with key supplier partners
• Execute global and regional material budgets
• Collaborate with suppliers and internal stakeholders
• Maintain sourcing pipelines, benchmarking data, strategy presentations, global direct material budgets, and on-time metrics
• Adhere to corporate and departmental purchasing and accounting practices and procedures
• Develop and manage sourcing strategies and bid lists
• Analyze and review quotes
• Coordinate RFQ package components, including terms and conditions, SOR compliance, technical documentation, and quality alignment
• Lead sourcing recommendations and alignment with cross-functional teams
• Manage sourcing documentation for RFQ processes in accordance with GM Audit Services requirements
• Lead supplier relationship management initiatives, including Strategic Supplier Engagement
• Act as a focal point for commercial issue resolution with suppliers
• Lead or represent purchasing in supplier KPI reviews
• Represent purchasing and support mitigation of supply chain disruptions
• Conduct contract analysis and rate management, including amendments, spot buys, rate analysis, and supplier requests
• Drive continuous improvement, identify savings opportunities, advance automation, and introduce innovative solutions
• Support or lead additional projects assigned by management
• Promote GM behaviors and values and make customer-focused decisions

Senior Global Sourcing Manager

Human Resources

• Perform 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 investigative plans covering scope, participant lists, and timelines
• Execute and document investigations according to professional standards and GM investigation protocols
• Communicate investigation results clearly and promptly to HR, leaders, Legal, and other stakeholders
• Collaborate cross-functionally with HR, Labor Relations, Legal, Audit, Security, Operations, and other constituencies
• Partner with HR Policy on post-investigation strategies, employment-action equity, and proactive training to mitigate future risk
• Draft clear, concise, high-quality investigation reports synthesizing facts, policy standards, analysis, and conclusions
• Manage cases from assignment through fact-finding, analysis, and report completion while balancing urgency and quality
• Maintain accurate and timely case documentation, handle and store evidence appropriately, comply with record-retention requirements, and apply investigation quality standards consistently
• Evaluate internal controls and procedures to identify gaps or process improvements related to people, policy, or culture
• Recommend investigative-process changes to improve efficiency and effectiveness
• Maintain confidentiality and communicate openly, honestly, and promptly with personnel involved in investigations and projects

Employee Relations Investigator

• Conduct impartial, fact-based investigations into employee concerns and policy matters
• Own foundational Employee Relations matters requiring ER judgment, employee or leader guidance, and structured issue framing
• Assess incoming concerns and determine appropriate ownership, including advisory handling, inquiry, formal investigation, or escalation
• Conduct lower-severity, entry-level, and routine investigations from intake through closure
• Perform fact-finding, interviews, evidence review, findings, documented recommendations, and case summaries or reports
• Partner with HR and other stakeholders to support timely, fair, and consistent outcomes
• Maintain complete and accurate AIMS records, including case details, participants, documentation, and status updates
• Escalate matters involving discrimination, harassment, retaliation, threats or violence, repeat or pattern concerns, cross-site impact, senior leaders, HR involvement, or elevated legal, reputational, or specialty-team risk
• Apply common templates, documentation standards, and escalation logic within the centralized ERI operating model
• Contribute to Global Employee Relations projects and initiatives through project management and administrative support

Employee Relations Investigation Generalist

Data Scientist

• Discover actionable, high-impact data analytics needs and opportunities with cross-functional teams
• Develop industry-leading analytics solutions across core business areas
• Define technical architecture and design patterns
• Ensure engineering best practices
• Lead the design, development, and implementation of complex data science solutions
• Own technical debt management and system scalability
• Design, build, train, and deploy Generative AI and machine learning models
• Apply advanced analytics to forecast trends, identify risks, and optimize operational processes
• Create data visualizations to communicate findings and recommendations to technical and non-technical stakeholders
• Mentor junior data scientists
• Contribute to the growth and development of GM's data science community

Staff Data Scientist

• Lead the design, development, and implementation of complex data science solutions
• Manage unstructured and multi-structured data
• Design, build, train, and deploy Generative AI and machine learning models
• Solve predictive and prescriptive problems across various domains
• Forecast trends, identify risks, and optimize operational processes using advanced analytics
• Create data visualizations to communicate findings and recommendations
• Collaborate with engineering, product, and business teams
• Mentor junior data scientists
• Contribute to the growth and development of GM's data science community

Senior Data Scientist

Application Engineer

• Support development, integration, and validation of viewing systems, including rear view camera, surround view, transparent trailer, and curb view
• Interface daily with development teams to evaluate new vehicle and bench features and identify root causes of issues
• Work closely with software and algorithmic development teams
• Support performance teams in viewing-feature tuning
• Support integration activities into various ECUs
• Perform issue triage and root cause analysis
• Serve as a subject matter expert in camera calibration and alignment processes
• Conduct road and staged data collection, including design, build, and execution
• Analyze and review features to ensure the highest possible quality

Viewing Application Engineer

Full-stack Engineer

• Build and maintain software systems that automate, manage, and operate the secure hybrid network fabric supporting the global AV development pipeline
• Design, build, test, deploy, and operate production network services in Go and Python
• Develop APIs, controllers, integrations, and tools for network provisioning, configuration, validation, and lifecycle management
• Apply distributed systems, API design, concurrency, automated testing, and safe rollout strategies to network infrastructure
• Advance Network as Code practices through version-controlled, peer-reviewed, tested, and CI/CD-deployed network changes
• Define, monitor, and improve SLOs for network services
• Apply SRE principles to reduce operational toil, configuration drift, and recurring failures
• Build telemetry and observability capabilities for hybrid connectivity and network-service health
• Contribute to hybrid network architecture connecting on-premises data centers, validation environments, test facilities, and GCP
• Design secure, scalable, multi-tenant network solutions for sensitive AV data and high-performance workloads
• Develop reusable Infrastructure as Code modules and self-service capabilities
• Partner with network, cloud, security, and platform teams
• Provide technical leadership and mentor engineers as a hands-on individual contributor
• Optimize network paths from hardware ingestion points through hybrid connectivity into cloud storage and compute
• Support low-latency, high-throughput, highly available connectivity for validation environments and HIL simulations
• Integrate validation worker pools with cloud-native infrastructure and services
• Build safeguards for reliable, observable, and recoverable high-volume data movement
• Implement least-privilege access, segmentation, encryption in transit, and automated policy enforcement
• Use performance testing, telemetry, and capacity planning to maintain throughput and reliability
• Participate in on-call rotation and incident response
• Diagnose failures using logs, metrics, traces, packet captures, and network telemetry
• Lead or contribute to blameless incident reviews and corrective actions
• Manage error budgets and balance delivery velocity with service reliability

Staff Software Engineer – Networking

DevOps Engineer

• Co-found the SRE practice by translating the reliability charter into engineering systems, adoption paths, and measurable outcomes
• Design and build shared reliability tooling and automation for service cataloging, SLOs, error budgets, readiness evidence, and toil reduction
• Establish risk-based production reliability architecture, minimum standards, golden paths, and a time-bound exception process
• Partner with Incident Management to operationalize severity, command, and response standards
• Establish blameless post-incident practices and ensure corrective actions are tracked and completed
• Help service teams classify critical services, map dependencies, identify failure modes, and establish meaningful SLIs/SLOs
• Turn repeated manual operational work into reusable software and protect engineering capacity

Staff Site Reliability Engineer, SRE

• Develop and communicate a technical vision aligned with product requirements and goals
• Collaborate with architects on technology decisions and innovative strategies
• Evaluate new technologies and drive strategic innovation initiatives
• Lead end-to-end design, development, and delivery of enterprise-grade React and Java applications
• Build solutions using Java, Quarkus, React, microservices, and modern software architecture
• Apply SOLID principles, test-driven development, clean architecture, shared libraries, utilities, and component-based development
• Lead adoption of Quarkus, Docker, Kubernetes, and Red Hat OpenShift infrastructure and deployment strategies
• Create and maintain CI/CD pipelines for code integration, testing, and deployment using tools such as GitHub Actions
• Ensure application security, reliability, and observability through logging, monitoring, and incident response planning
• Foster a collaborative, inclusive, and high-performance engineering culture
• Mentor and coach junior engineers and provide technical feedback and growth opportunities
• Participate in engineering ceremonies and align with product managers, architects, and engineers
• Advise the persistent team by translating complex technical topics into business-relevant insights
• Propose technologies, define architectural approaches, and establish pragmatic solutions and best practices

Senior Software Engineer – Vehicle Order Fulfillment

Engineer

• Develop and optimize calibrations to meet performance and timing requirements using Calibration Standard Work
• Conduct calibration reviews to ensure high-quality calibrations
• Organize, plan, and coordinate calibration activities with the Lead Calibrator and Diagnostic Strategist
• Support identification of resource requirements for calibration development
• Diagnose and correct vehicle, system, and controls deficiencies
• Support resolution of vehicle, plant, durability/dyno, and customer issues
• Use analytical tools to develop and verify calibrations
• Develop, use, and update calibration procedures supporting increased virtualization in calibration development
• Participate in controls groups and support algorithm development
• Participate in development trips and related testing activities
• Perform in-vehicle calibration and testing, lab/bench/analytical activities, and performance verification
• Collaborate with algorithm/software and hardware engineers in cross-functional teams
• Balance planned and unplanned work across multiple projects and priorities

Calibration Engineer – Electrification Battery Systems

Supply Chain

• Coordinate inbound and outbound flow of imported vehicles across port operations, vehicle distribution centers, yards, inspections, repairs, accessory installation, second-stage operations, and final distribution
• Monitor vehicle availability, inventory aging, dwell time, transit performance, distribution capacity, and on-time delivery indicators
• Identify risks and lead corrective actions with relevant stakeholders
• Coordinate logistics quality activities, including pre-delivery inspections, damage identification, evidence collection, root-cause analysis, containment, repair follow-up, and prevention plans
• Manage logistics damage claims, proformas, supplier responses, recoveries, and related financial documentation
• Partner with overseas sources, logistics providers, ports, carriers, yards, dealers, and internal Quality, Sales, Finance, Customs, and Supply Chain teams
• Support regional logistics budgets, APV and cost forecasts, cost-per-unit analysis, accruals, account mapping, contract visibility, and budget-versus-actual reviews
• Identify logistics cost risks and improvement opportunities and recommend mitigation actions supporting EBIT and free-cash-flow objectives
• Prepare recurring management reports, dashboards, and performance reviews for Ecuador and applicable GMSA Pacific activities
• Support tariff updates, supplier performance reviews, capacity planning, logistics tenders, and implementation of new providers or distribution models
• Standardize processes, controls, inspection criteria, and documentation across the vehicle logistics network
• Lead or support continuous improvement initiatives using structured problem-solving methods and digital solutions
• Promote safety, compliance, quality, and customer focus, including visits to operational locations
• Share best practices with regional teams and provide backup support for GMSA Pacific logistics planning, cost management, and quality topics

Vehicle Logistics Coordinator

AI Engineer

• Develop data-intensive and AI-enabled software applications and services supporting Product Development and Quality teams
• Design and build software and data solutions using SQL, Databricks, Java, and Python
• Write performant SQL queries, functions, and stored procedures for complex data transformations and modeling
• Build and optimize Databricks data pipelines and workflows for batch and near-real-time processing
• Develop backend services and APIs in Java and/or Python
• Develop enterprise-grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM-approved tools
• Partner with data science and AI teams to productionize AI/ML and LLM-based solutions
• Identify and remediate issues involving code quality, performance, security, and data correctness
• Lead or contribute to solution architecture, patterns, and technology decisions aligned with GM standards
• Champion code reviews, automated testing, branching strategies, CI/CD, observability, and secure coding
• Collaborate with product owners, data engineers, architects, and business stakeholders in an Agile/SCRUM environment
• Troubleshoot production issues across data, application, and infrastructure layers and drive root-cause analysis
• Navigate corporate processes to remove project roadblocks
• Guide and mentor software engineers and team members
• Document software and data solutions to GM standards