General Motors

Graphics Designer

• Own the design development and delivery of in-vehicle digital experiences across assigned product areas.
• Create exceptional visual design concepts, mood boards, UI assets, prototypes, and production-ready graphics for complex digital interfaces.
• Translate user needs, brand direction, business goals, and technical constraints into elegant, intuitive, and visually refined design solutions.
• Lead design reviews, set visual quality standards, communicate design rationale clearly, and present recommendations to cross-functional stakeholders and partners.
• Drive alignment across design, engineering, and related teams to deliver cohesive, visually consistent, and premium-quality experiences across multiple surfaces and screen sizes.
• Use research, usability findings, data, and feedback to strengthen visual clarity, UI usability, and overall experience quality and strengthen customer outcomes.
• Serve as a visual craft leader to other designers by sharing expertise, providing feedback, and mentoring more junior team members.
• Deliver precise, well-documented, and development-ready design files, specifications, and documentation to support efficient collaboration and development handoff.

Senior Designer, Branded UI Visual Design

Financial Planning and Analysis

• Partner across multiple levels of the organization and various business functions to improve key business processes
• Work closely with both business and IT stakeholders to identify pain points and define requirements
• Collaborate with transformation teams to drive master data management standards and process improvements through digital solutions
• Support system requirements, user acceptance testing, technology deployments, and hyper-care activities
• Lead key areas of the Global Product Cost solution and TTD transformational roadmap using program management approaches
• Assess current state processes and develop future state system requirements and processes to drive efficiencies
• Establish a data-driven culture through the development of advanced analytics solutions while leveraging AI
• Interact and effectively present ideas to leadership
• Develop and present training materials for a global audience
• Develop standardized reporting tools and dashboards to enhance customer experience
• Provide customer support and drive utilization of new toolsets and technology throughout the organization
• Lead and/or support special projects including process improvements and stakeholder communications
• Support finance and accounting processes including forecast development, bridge analysis, variance analysis, and performance reporting
• Partner and collaborate closely with the CPURAM team to align business priorities and resolve cross-functional issues

Finance Analyst

Program Manager

• Drive cross-functional program planning, execution, and governance
• Ensure business deliverables are identified and documented
• Monitor and report program status
• Investigate and document complex business processes
• Develop leadership-level updates
• Align business and technical teams

International Program Manager – Light Tactical Wheeled Vehicles

Machine Learning Engineer

• Design, build, and operate end‑to‑end AI/ML solutions (data pipelines, models, services, and tools) for diagnostics, prognostics, and test analytics.
• Implement production‑grade ML pipelines on platforms such as Azure and Databricks, covering data ingestion, feature engineering, training, evaluation, and inference for batch and streaming workloads.
• Develop and maintain robust, observable ML services and internal tools that make complex vehicle and field data easy to use for engineers and technical stakeholders.
• Apply practical ML and statistical methods (e.g., tree‑based models, time‑series and anomaly detection, deep learning where appropriate) with a focus on reliability, explainability, and impact.
• Own model and data observability in production, including metrics, dashboards, alerts, and remediation workflows for drift, data quality, and performance regressions.
• Partner with data engineering to define and use industrialized and vectorized data products that support search, RAG, and analytics at scale.
• Review designs and code, mentor AI/ML practitioners, and help set high standards for testing, logging, deployment, and documentation.
• Collaborate with diagnostics/prognostics SMEs, validation, safety, and program teams to prioritize work, define success metrics, and embed solutions in day‑to‑day engineering workflows.

Staff Artificial Intelligence Machine Learning Engineer

Full-stack Engineer

• build and deploy applied AI/ML solutions that support simulation workflows, internal tools, and engineering use cases
• operate from early exploration and rapid prototyping to shipping robust systems
• collaborate closely with simulation, scenario-generation, data, and engineering teams to uncover opportunities where AI can create value
• deliver solutions that meet clear customer and business success criteria

Senior Software Engineer – SimCore

Artificial Intelligence

• Own end-to-end governance of enterprise Quality platforms.
• Define and enforce standards, workflows, and operating models across all Quality tools.
• Establish governance for tool lifecycle management.
• Lead strategy, deployment, and value realization of AI-driven Quality solutions.
• Identify and scale high-impact AI/automation use cases.
• Ensure AI solutions are trusted, explainable, and aligned with business and regulatory requirements.
• Own integration of Quality systems with enterprise data and analytics platforms.
• Define data models, reporting standards, and metrics governance.
• Lead alignment across Engineering, Software, Safety, IT, and Global Quality.
• Simplify and standardize Quality processes.

Quality Systems Manager – Digital Quality Platforms, AI

Engineer

• Drive strategy and impact connectivity within GM
• Develop and design GM’s state-of-the art connectivity technologies
• Collaborate across departments to craft wireless solutions
• Maintain best-in-class advisory and technical services with integrity

Lead Connectivity Standards Engineer

• Lead Automated Defect Detection and Automated Finesse projects for new paint shops, from early concept and process studies through installation, commissioning, and launch
• Define system requirements, develop SORs, and support sourcing and supplier selection
• Partner with plant teams and suppliers to ensure systems achieve quality, safety, and performance targets
• Support resident engineers and execution teams with implementation of Automated Finesse and Automated Defect Detection systems in existing paint shops
• Troubleshoot technical issues on existing installations and work with plant teams to identify root causes and prevent repeat failures
• Lead continuous improvement efforts to increase uptime, quality, and repair efficiency
• Collect and analyze plant and trial data to identify gaps, trends, and improvement opportunities
• Coordinate with suppliers on new technologies, testing, and validation activities
• Travel to plants and supplier sites to support installations, trials, launch activities, and problem-solving
• Identify opportunities to expand Automated Finesse capabilities and improve defect detection and repair performance.

Technical Lead – Paint Auto Finesse

Analytics Engineer

• Define, prototype, and productionize safety and performance metrics for automated driving systems.
• Establish analytic approaches and sufficiency criteria that support safety assessment, development decisions, and launch readiness.
• Support proactive safety monitoring and targeted investigations tied to specific system-performance or safety questions.
• Apply engineering and physics-based methods to process raw signals and derive meaningful representations of vehicle motion, driving context, and system behavior.
• Create interactive visualizations and reporting artifacts that communicate safety insights clearly, enhance transparency, and reduce barriers to interrogating source data in support of technical decision-making.

Analytics Engineer, AV Safety Engineering

• As the Senior CAE Engineer, you will be a key technical leader responsible for developing, enhancing, and deploying advanced Computer-Aided Engineering (CAE) capabilities to support product development.
• Partner closely with cross-functional engineering teams to virtually evaluate designs, identify risks early, and drive data-based decisions that improve product performance, quality, and time-to-market.
• Lead CAE capability development, owning the creation, enhancement, and deployment of new CAE methodologies, tools, and best practices to support evolving product and performance requirements.
• Participate as the CAE lead on new, major, and minor product design programs, providing analysis-based insights to support concept selection, design trade-offs, and design validation.
• Plan and execute simulation activities to assess structural performance, durability, stiffness, strength, or other performance attributes as required by the program.
• Build high-quality Finite Element Analysis (FEA) models from CAD solid models, including geometry cleanup, meshing, material assignment, boundary conditions, and load case definition.
• Develop and apply methods for root cause analysis, failure investigation, and performance optimization using CAE results, physical test data, and field feedback.
• Correlate analytical results with test outcomes to improve model fidelity and build confidence in simulation-based decision making.
• Serve as a subject matter expert, mentoring junior engineers on CAE methods, tools, and best practices.
• Collaborate with design, test, manufacturing, and supplier teams to ensure CAE insights are integrated into design requirements and hardware decisions.
• Communicate complex analysis results in a clear, concise manner to both technical and non-technical stakeholders.
• Create and maintain documentation for analysis methods, workflows, and templates to ensure consistency and reusability.

Virtual Propulsion Engineer

Designer

• Manage a large group of Engineering Designers and DLTs with similar functional responsibilities for Design deliverables in support of projects and programs within the Exteriors Engineering Design Team
• Responsible for staffing, communicating, training and development, directing and prioritization of work, evaluating performance and removing roadblocks
• Provide technical leadership and guide the team to successful execution of vehicle programs with strong technical solutions
• Help develop processes, standards, or operational plans in support of the organization's business strategies with a direct impact on business and/or function overall results
• Promote GM's values and make customer-focused decisions

Design Group Manager – Upper Structures

• As Software Engineer on the Virtual Test Platforms team, help to define, implement, deploy and support virtualization technology products and services.
• Collaborate with teams and engineers across GM.
• Lead the technical strategy, architecture, and delivery of Virtual Tooling, emulator capabilities, simulation components, and supporting infrastructure.
• Mentor and grow engineers across levels through design reviews, technical guidance, coaching, and example-setting.

Staff Embedded Software Engineer – Virtualization Tooling

Product Manager

• Lead the Transformation Team for HR and Communications
• Own the redesign of employee-facing workflows using modern collaboration tools, AI, and automation built on approved platform capabilities
• Serve as the product manager for the transformation by defining the problem, prioritizing the work, driving delivery, and ensuring adoption and handoff.
• Own end-to-end team delivery, including workflow redesign and transformation execution for HR and Communications
• Partner with the business sponsor to translate goals into a prioritized roadmap
• Lead the team across engineering, HR or communications stakeholders, and matrixed platform and change resources
• Run discovery activities including journey mapping, content-flow review, service interaction analysis, use case identification, and pilot planning
• Enforce architectural compliance and ensure reuse of approved platform capabilities
• Escalate missing platform capabilities or required controls rather than allowing shadow architecture
• Drive adoption and behavior change in partnership with embedded change leads
• Ensure every AI-enabled workflow, prompt-based solution, or automated agent receives required review and approval before deployment
• Define and track success metrics tied to employee experience, responsiveness, content effectiveness, and user adoption
• Manage to clear, time-bound exit criteria
• Deliver a validated sustainment plan, complete documentation, and signed handoff to the business sustainment owner.

Transformation Team Lead, Product Manager – HR / Communications

• Own end-to-end team delivery, including workflow redesign and transformation execution for Product Engineering and Quality.
• Partner with the business sponsor to translate goals into a prioritized roadmap.
• Lead the team across engineering, quality stakeholders, and matrixed platform and change resources.
• Run discovery activities including collaboration-pattern analysis, review process mapping, knowledge-flow assessment, use case identification, and pilot planning.
• Enforce architectural compliance and ensure reuse of approved platform capabilities.
• Drive adoption and behavior change in partnership with embedded change leads.
• Define and track success metrics tied to engineering productivity, knowledge reuse, decision speed, and user adoption.
• Deliver a validated sustainment plan, complete documentation, and signed handoff to the business sustainment owner.

Transformation Team Lead, Product Manager – Product Engineering / Quality

Attorney

• Own end-to-end team delivery, including workflow redesign and transformation execution for Legal
• Partner with the Legal business sponsor to translate goals into a prioritized roadmap
• Lead the team across engineering, legal operations stakeholders, and matrixed platform and change resources
• Run discovery activities including workflow mapping, intake analysis, document lifecycle review, use case identification, and pilot planning
• Enforce architectural compliance and ensure reuse of approved platform capabilities
• Escalate missing platform capabilities or required controls rather than allowing shadow architecture
• Drive adoption and behavior change in partnership with embedded change leads
• Ensure every AI-enabled workflow, prompt-based solution, or automated agent receives required review and approval before deployment
• Define and track success metrics tied to cycle time, manual effort reduction, and user adoption
• Manage to clear, time-bound exit criteria
• Deliver a validated sustainment plan, complete documentation, and signed handoff to the Legal sustainment owner