General Motors

Analyst

• Own integrated go-live readiness and drive execution across workstreams.
• Coordinate SIT/UAT readiness and execution support: align test schedules to the integrated deployment plan, track defects and fixes in JIRA, facilitate triage, and ensure test results and exit criteria are reflected in readiness scorecards and go/no-go materials.
• Own deployment/cutover inputs and maintain the RTP workstream plan, partnering with the PMO to manage the integrated go-live plan across business and IT workstreams (milestones, dependencies, and critical path).
• Plan and facilitate cutover governance: readiness reviews, decision logs, cutover checkpoints, and executive communications for go/no-go decisions.
• Coordinate go-live communications and stakeholder enablement (deployment calendars, blackout windows, known impacts, and support paths) to ensure operational readiness.
• Maintain deployment reporting artifacts (readiness scorecards, cutover status, RAID logs) and provide timely updates into PMO reporting cadences, surfacing risks/issues early with actionable recommendations.
• Standardize and continuously improve deployment and cutover playbooks, templates, and governance to increase repeatability and reduce go-live risk across deployment phases.

Senior RTP Transformation Analyst

Production Engineer

• Manage engineering activities and support cross-functional projects to drive CCA retention and profitability
• Analyze and resolve service issues, engineering changes, and customer inquiries
• Identify opportunities for parts optimization (supersession and de-proliferation)
• Collaborate with internal partners (Supply Chain, Purchasing, Engineering, Quality, etc.)
• Support development of service strategies and subsystem service plans
• Build strong stakeholder relationships and represent GM in meetings
• Lead continuous improvement initiatives to enhance processes and business performance

Aftersales Post Production Engineer

• Administrar os casos encaminhados a ele (inbound) pelo sistema de atendimento bem como atualizados conforme necessidade
• Prover a Rede de Concessionárias respostas ágeis e baseadas nos procedimentos corporativos
• Ajudar a identificar preocupações de qualidade do produto
• Garantir a melhoria contínua, a entrega eficaz, retenção de clientes e rentabilidade em operações de serviço
• Atuar proativamente e assertivamente no controle de qualidade dos veículos diagnosticados, reportando ao time de Serviços (outbound)

Analista de Serviços – Centro de Atendimento Técnico

Engineer

• Technical expert for the development of cell assembly processes including development and approval of cell assembly equipment specifications.
• Provide technical leadership and coaching to team members and stakeholders.
• Develop battery cell assembly processes, engineering specifications, documentation, etc.
• Develop and implement Bill of Process and Bill of Equipment.
• Interface and build relationships with JV partners to support the flawless launch of battery cell manufacturing facilities.
• Work with machinery and equipment suppliers on procurement, design, build, validation, and start-up of cell assembly equipment.
• Work with equipment suppliers on design and build of cell assembly equipment.
• Optimization of cell manufacturing line layout for assembly processes.
• Support construction teams with specifications on building and facility requirements for assembly processes.
• Support implementation of GM safety specifications and equipment safety reviews.
• Develop assembly strategies for implementation of next generation battery cell technology.
• Interface with leadership and support development of battery cell manufacturing strategies.
• 25% travel required domestically and internationally.

Battery Cell Assembly Process Engineer

Full-stack Engineer

• Support the development of automation features and tools based on customer and team needs, with exposure to automotive serial data related use cases.
• Contribute to Python and Robot Framework based automation solutions that are scalable and maintainable.
• Work with senior engineers to design, develop, test, and improve automation libraries and framework capabilities.
• Participate in code reviews and incorporate feedback to improve code quality and engineering practices.
• Debug issues, troubleshoot automation failures, and help improve framework reliability and usability.
• Actively participate in team scrum meetings including backlog refinement, iteration planning, daily standups, and retrospectives.
• Collaborate with cross-functional teams to understand testing needs and support delivery of automation solutions.
• Learn and apply software engineering best practices, including coding standards, testing, documentation, and version control.
• Stay up to date with emerging technologies and trends in software automation and embedded software development.
• Contribute to a positive, collaborative team environment and continuously build technical depth through hands-on development.

Early Career Software Developer – Test Framework

• Serve as a technical lead for SDS software across multiple components of the stack, setting direction for algorithms, architectures, and system interfaces across features and releases.
• Own the end‑to‑end technical strategy for key SDS behaviors and features, spanning perception/prediction integration, planning, controls, and system‑level interactions.
• Balance hands‑on technical work with cross‑team leadership: you will still design and implement critical components in modern C++, while also guiding other senior and mid‑level engineers to deliver at scale.
• Collaborate closely with experts in perception , tracking, prediction, state estimation, localization, mapping, planning, controls, systems engineering, and safety to deliver robust, fail‑operational behaviors for Super Cruise and future products.
• Define technical vision & architecture Set the technical direction for SDS software components with a focus on correctness, robustness, and predictable runtime behavior under tight latency and compute budgets.
• Architect scalable, modular multi‑sensor perception pipelines for camera, radar, and lidar, including detection, classification, lane/road feature extraction, freespace /occupancy, and environmental context.
• Establish and evolve interfaces and contracts between perception/prediction and upstream/downstream components (state estimation, localization, mapping, planning, controls, autonomy management).
• Lead high‑impact projects Lead design and delivery of multi‑object tracking systems (e.g., Kalman/extended/unscented filters, IMM, probabilistic data association, track lifecycle management) that provide stable, high‑quality tracks under real‑world noise and edge cases.
• Drive development and integration of short‑horizon motion prediction for vehicles, VRUs, and other actors using a mix of analytical models and ML‑based forecasting, including uncertainty modeling that enables conservative, fail‑operational decisions.
• Evaluate trade‑offs between traditional computer vision/robotics and ML‑based approaches, choosing the right tool for the problem and ensuring solutions are production‑ready under latency and compute constraints.
• Design and implement critical components in modern C++ (C++17 or later), with careful attention to memory management, concurrency, and real‑time behavior; use Python for tooling, data analysis, and ML experimentation.
• Set and uphold high standards for software quality: clean, well‑documented APIs; rigorous code reviews; automated and regression testing; continuous integration; and rich logging and observability for on‑road incidents.
• Profile and optimize SDS components to meet strict runtime performance, determinism, and resource‑usage requirements, using offline and online evaluation frameworks and metrics to guide iteration, regression detection, and performance tuning.
• Work with state estimation, localization, mapping, and autonomy management partners to ensure SDS perception and prediction behavior supports reliable engagement and MRM in response to primary stack failures.
• Partner with Safety and Systems Engineering to ensure designs and implementations align with functional safety , redundancy, and MRM requirements for fail‑operational, eyes‑off features.
• Represent SDS perception and prediction in cross‑org technical forums , ensuring alignment with broader autonomy, platform, and hardware roadmaps.
• Provide technical mentorship to other engineers, from onboarding to growing senior and staff‑level talent in perception/tracking/prediction and modern C++.
• Lead and facilitate design reviews, incident post‑mortems, and cross‑team technical deep dives, raising the bar for clarity, robustness, and execution speed.
• Help build a healthy engineering culture: pragmatic, data‑driven decision‑making; strong ownership; and a focus on safety, reliability, and customer experience.

Staff Software Engineer – Secondary Driving System

Financial Planning and Analysis

• Serves as a finance partner to operating staff providing timely and relevant reporting and analysis to drive informed business decisions.
• Assesses and evaluates financial performance in relation to long-term operational goals, budgets, and forecasts.
• Supports the creation of yearly financial objectives aligned with the business partner's growth and expansion plans.
• Prepares and presents monthly financial budgeting reports, such as profit and loss statements, forecast vs. budget, and cash flow analyses.
• Ensures the application of appropriate internal controls, SOX compliance, and financial procedures.
• Maintains strong relationships with business partners and leads by example demonstrating commitment to personal development and fostering a positive workplace culture.
• Provides insights into how projects relate to operational strategy and enterprise goals, and proactively anticipate partner needs.
• Involves preparation of plant submission summaries, department target creation, and overseeing the consolidation of monthly financial forecasts and actuals.

Plant Finance Supervisor

Data Analyst

• Responsible of data mining to provide visible solutions to customers, including layouts, PBI reports, statistical analysis, graphs and tables.
• Understanding of customer’s request to translate it to visual and functional reports.
• Team work to promote initiatives related to improve service KPI’s and spare parts sales.
• Identify projects requirements to translate them to a project timing and milestones.
• Prioritize projects according impact vs effort.
• Continuous improvement to generated visors.
• Documentation of processes and storage according GM policies.
• Support to district managers with data understanding and how it was calculated.
• Support dealer’s network to questions about KPIs reports and calculation.
• Self-development supported by collaboration with other areas and councils.
• Determine best scenarios based on profit & loss, and statistical data as mean and median.
• Lead discussions and reach agreements with internal and external stake holders.
• Candidate must be collaborative team player who will work closely with diverse of people, and functions.
• Experience in data mining and management of data basis.
• Programming in DAX, SQL, Pyton, R.
• Capability to analyze business results to identify opportunities: budget, trends, statistical data.
• Apply financial analysis tools and work experiences to influence current and future profitability (e.g. financial models, business cases, run rate, advanced data analytics)
• Prepare reporting package with insight for monthly operating review and/or Key Performance Indicators (KPI’s), anticipating logical questions based on content.
• Ability to prioritize multiple tasks and projects at once without sacrificing quality.
• Works under general supervision with limited guidance and direction.
• Determines an appropriate course of action within broad guidelines and can handle nearly every standard or typical request independently.
• Identify and corrects non-routine problems in existing systems and processes through independent judgment.
• Applies learned techniques to drive the solution to a problem.
• Adapts communication style to reach agreement in own area in situations of moderate complexity.
• Demonstrates flexibility and adaptation.
• Propose new initiatives and delivers solutions, driving cross team efforts.
• Recommends opportunities for process improvement to leadership & proactively anticipates needs within own area.
• Dealing with ambiguity to define feasible actions and priority.
• Participation in the data analytics council for sharing best practices and lessons learned associated to the function.
• At the same time, being receptive to incorporate practices or technics presented by other DA groups.
• Proactively seeks personal and group growth opportunities, identifying training.

Data Analysis Engineer

• Define and lead software quality strategy for future Connectivity software products.
• Provide technical leadership for test, integration, and release quality across connectivity domains
• Lead the team to develop and drive test strategy for hourly, daily, and weekly software builds
• Establish processes and metrics to measure software quality, performance, and overall software health
• Lead technical deep dives to identify risks, root cause issues, and drive corrective actions
• Create and drive a strong quality front door process for connectivity software
• Partner with development, supplier, execution, and IT teams to resolve quality issues efficiently
• Collaborate with software engineering teams on architecture, observability, infrastructure, and reliability needs
• Support production readiness reviews, deployment planning, and operational quality improvements
• Use automation, data, and observability to improve test coverage, issue detection, and release confidence
• Drive continuous improvement in quality processes, tools, and best practices across the organization

Staff Software Engineer – Connectivity Quality

Performance Marketing

• Assist in designing, documenting, and executing performance marketing strategies that deliver measurable results.
• In partnership with centralized marketing intelligence team, use and interpret analytics tools to measure the impact of cross-channel initiatives on brand-specific KPIs and refine strategies based on performance insights.
• Leverage performance dashboards to track KPIs, share actionable insights with the broader team, and coordinate the activation and implementation of new performance marketing strategies based on insights.
• Monitor industry trends and identify new performance opportunities to keep campaigns competitive.
• Partner cross-functionally with leaders in paid media, SEO, CRM, Marketing Strategy Intelligence, and website optimization to align efforts and ensure cohesive performance goals.
• Act as a key liaison between performance marketing, marketing intelligence, and creative teams, ensuring optimization of campaign assets to meet audience and channel needs.
• Facilitate alignment between marketing strategies and business goals through regular communication with stakeholders.
• Collaborate with Test & Learn team to develop and manage cross-channel test-and-learn plans that deliver insights which enhance campaign performance and efficiency.
• Liaise with channel-specific leads to define performance approaches and tests that align with overarching business objectives.
• Track, analyze, and communicate key learnings to inform future marketing strategies.
• Lead audience segmentation and planning to ensure marketing efforts target the most relevant customer groups.
• Collaborate with internal teams to identify opportunities for improvement across the customer journey, from awareness to conversion.
• Integrate audience insights across channels and throughout the marketing funnel to enhance engagement and conversion.
• Work with analytics teams to refine audience strategies using data-driven insights.

Performance Marketing Lead

• Define and lead the software quality automation strategy across GM connectivity software products
• Lead development of automation strategy for hourly, daily, and weekly software builds
• Design, build, and scale automation test software for lab environments, including benches, simulators, and hardware-in-the-loop style systems
• Build reusable automation software and abstraction layers that simplify complex hardware and system interactions
• Partner with connectivity domain owners to develop automated test coverage for key features and integrations
• Integrate automation solutions into CI/CD pipelines to improve speed, repeatability, and release confidence
• Collaborate with developers, quality teams, and cross-functional engineering groups to drive technical automation solutions
• Improve test data, observability, and automation reporting to strengthen software quality visibility
• Partner with stakeholders to integrate automation results with quality workflows and tools such as JIRA and XRAY
• Lead technical deep dives, root cause analysis, and corrective action follow-through for complex software issues
• Drive continuous improvement in automation practices, lab efficiency, and overall software quality health

Staff Software Engineer, Connectivity Quality Automation Lead

Manager

• Support the Accessories Marketing Manager to advance key organizational objectives, bringing an innovative, entrepreneurial approach to problem-solving & execution
• Manage the Accessories Marketing POS subscription program for franchised GM dealers, ensuring value delivery & consistent performance
• Drive the creation & maintenance of GM/dealer participation agreements, marketing related GM/ADI network agreements, and GM supplier contracts
• Manage all supplier & agency interactions to support program success & operational efficiency
• Contribute to the development of strategic marketing initiatives, incentive offerings, training content, financial planning, performance analyses, & competitive assessments
• Partner with Central Office leadership, Regional, and wholesale teams to assess training and capability gaps across field and dealership personnel and implement targeted, results‑driven solutions
• Support Brand Communications and help manage the GM Accessories HQ pages within Global Connect, ensuring content is accurate, current, and easy to use for field teams and dealers
• Proactively identify growth opportunities & recommend strategies to expand the business across current & future accessories initiatives
• Collaborate cross‑functionally with adjacent GM organizations (i.e. OnStar, Rewards, GM Energy, etc) to expand integration opportunities and support enterprise‑wide implementation
• Oversee day-to-day relationships with dealers/ ADIs, ensuring compliance & contractual obligations and brand standards
• Track and analyze dealer experience performance, including sales and attachment results, accessory product development milestones, and execution of dealer-facing marketing programs; surface insights, risks, and opportunities to support day‑to‑day decision making
• Support annual business planning and forecasting by assisting with development of dealer experience priorities, sales and volume forecasts, and in‑year reforecasts; prepare performance summaries and analyses to inform leadership reviews.

Assistant Accessories Manager – Dealer Experience

Field Engineer

• Own IPS data and systems: Define, curate, and maintain core IPS data sets related to service parts, technical publications, diagnostics, provisioning, and field performance across relevant systems and tools.
• Maintain a single source of truth, including documentation, data dictionaries, and governance standards.
• Own and build an application roadmap for IPS systems.
• Establish and maintain common definitions, ownership models, and process controls that improve trust in data and consistency of decision making across the function
• Serve as business owner for analytics: Act as the business owner for key IPS reporting and analytics solutions, partnering with IT, data teams, and tool owners to define requirements, prioritize enhancements, test changes, and ensure data quality and availability.
• Use independent judgment to set priorities, define business requirements, and guide changes that materially improve IPS execution and decision support
• Design reporting and dashboards: Design, build, and maintain standard reports, scorecards, and dashboards that for IPS leadership, SSEO, Technical Publications, and program teams on topics such as service readiness, change throughput, quality, cycle time, and workload.
• Create executive ready views that synthesize key messages and tradeoffs for senior stakeholders.
• Generate insights and recommendations: Mine IPS and program data to identify patterns, risks, and opportunities related to service deliverable readiness, late changes, rework, escapes, and field performance.
• Translate data into clear stories and recommendations that guide decisions.
• Identify and solve ambiguous, non-standard issues across systems, processes, and data where root causes and solutions are not predefined.
• Develop IPS processes and tool use: Define and document the end to end processes that connect IPS service engineering and technical publications work to GM and GMD systems, from problem identification and change intake through release, field rollout, and sustainment.
• Own how Service Engineering engages with the Production Engineering Defense change management tool to ensure IPS requirements are captured and that production engineering part releases and Defense Change Requests (DCRs) meet service engineering quality and readiness needs.
• Design practical, role clear workflows for engineering change, service information updates, diagnostics and tooling updates, and data capture.
• Influence senior stakeholders through data-driven recommendations, alignment on tradeoffs, and clear articulation of operational impacts across the broader IPS ecosystem
• Drive continuous improvement and adoption: Identify opportunities to reduce manual reporting and rework by automating data pipelines, standard reports, and self service dashboards.
• Apply Lean and continuous improvement principles to simplify handoffs, reduce cycle time, and eliminate defects across IPS data and IT processes.
• Build and deliver training and job aids that enable IPS team members to effectively use systems, data, and reports.

Service Engineering and Operations Data Lead

• Own the global material handling strategy for human assist and cobot-enabled applications (uMan, lift assist, sub-assembly, near-line, on-line) across GM manufacturing.
• Translate GM’s safety, quality, cost, and ergonomic objectives into a clear roadmap for material handling technologies and standards.
• Anticipate emerging technologies in collaborative robotics, human assist, and automation; define how and when they should be piloted, industrialized, and scaled within GM.
• Lead the identification, design, and deployment of uMan, lift assist, and cobot applications for sub-assembly, near-line, and on-line operations in all GM plants.
• Drive end-to-end solution delivery: from problem framing and concept development through trials, industrialization, standard work, and handoff to plant ownership, including defining and managing Manufacturing Readiness Level (MRL) for material handling applications.
• Champion a portfolio mindset for applications—prioritizing based on safety/ergonomic impact, business value, timing, and plant readiness.
• Ensure that solutions are highly reliable, maintainable, and compatible with GM Manufacturing Execution, safety, and GMS standards.
• Lead, coach, and develop a global team of engineers and leaders, setting clear expectations, aligning work to GM Behaviors, and fostering an inclusive, high‑performance culture.
• Build organizational capability in human–robot collaboration, lift assist, and advanced material handling through mentoring, training, and communities of practice.
• Provide clear direction and decision-making in ambiguous situations; remove roadblocks and empower teams to experiment, learn, and iterate.
• Serve as the primary enterprise contact for material handling applications with Global Manufacturing Engineering, plant leadership, Safety, Ergonomics, GMS, Industrial Engineering, and IT/OT partners.
• Engage directly with plant teams to understand their pain points, convert them into well-defined business problems, and co-create deployable solutions.
• Align with regional manufacturing leadership to prioritize deployments, secure resources, and ensure consistent adoption of standards.
• Represent the Material Handling vertical in governance forums, program reviews, and senior leadership discussions.
• Establish and maintain global standards, best practices, and design guidelines for uMan, lift assist, sub-assembly, near-line, and cobot applications.

Senior Manager – Advanced Manufacturing

Software Engineer

• Independent Project Management and leadership in planning and execution of full vehicle and subsystems models for programs to process time and consumer requirements.
• Collaborate with VDDV consumer base and develop robust statement of requirements for each modelling event.
• Interact, proactively engage, effectively communicate and co-ordinate with Vehicle Performance Integration Manager, Design Release Engineer, Design Engineer, Suppliers, Performance, and Program teams to develop and refine plans for model builds.
• Lead and leverage globally distributed team for model builds.
• Perform risk assessment, monitor progress and enable first time quality and on time delivery of models.
• Actively participate and contribute to department process, speed and quality improvement meetings.
• Conduct robust root cause and preventive action summary on quality improvement opportunities.