General Motors

Full-stack Engineer

• Contribute to the architectural roadmap for our Simulation Scenario Definition platform and/or its programmatic Python SDK.
• Lead the design and implementation of our next-generation graphical editing tools used by hundreds of engineers to precisely define complex traffic, environment, and sensor scenarios.
• Drive the evolution of our Python infrastructure, focusing on core algorithms for scenario serialization, validation, and integration with our large-scale cloud compute cluster.
• Act as a hands-on mentor, setting the engineering excellence standard for API design, code quality, and testing practices across the team.

Senior Software Engineer – Simulation Tooling

DevOps Engineer

• The Supplier Quality Engineer – Non‑Fab Steel & Aluminum is responsible for ensuring that raw steel, aluminum, and engineered blanks supplied to GM meet all CQI/GM Customer Specific Requirements, CG standards, and internal quality expectations. • The SQE owns the quality interface between mills, Tier 1s, Purchasing, Materials Engineering, plant QEs, and stamping/press shops, ensuring that raw materials meet GM specifications. • This role focuses on non‑fabricated (bulk) material used in Body/Exterior and structural applications and serves as the primary interface between GM plants, Purchasing, Materials Engineering, Stamping/Manufacturing Engineering, and Non‑Fab suppliers to drive zero‑defect performance, robust launch, and rapid issue resolution. • Act as the primary SQ interface for assigned Non‑Fab steel, aluminum, and blanking suppliers (mills, service centers, blankers). • Lead supplier readiness reviews, system assessments and follow‑up actions to close gaps. • Monitor and report supplier performance (QPR, SPPS, PRRs, warranty trends) and escalate when risk to production or customers is identified. • Identify and drive continuous improvement opportunities at suppliers and within GM processes for Non‑Fab materials.

Quality and Reliability Engineer

Hardware Engineer

• Utilize engineering tools and processes to successfully develop and integrate components and systems for vehicle programs
• Effectively achieve program deliverables by thorough and rigorous program management
• Coach and lead suppliers to timely execution of program work you're doing with excellence
• Be a recognized technical leader and resource
• Provide experienced consultation in one or more areas for the design, development, and implementation of technical products and systems
• Recommend alterations and improvements to improve the quality of products and/or procedures
• Responsible for all internal activities and product development
• Demonstrates expertise in the field's concepts, practices, and procedures
• Performs multiple tasks
• Complex assignments require originality, creativity, and a wider application of principles, theories, and concepts
• Interacts with senior internal and external personnel
• Addresses the broadest and most complex problems of multiple disciplines within the business unit or division
• Develop winning robust BOM Strategies: Get BOM Strategies approved
• Know current applications and understands technical limitations and gaps to improve products for future sourcing events
• Maintain Global requirements (CTS Templates, etc)
• Create and Maintain Best Practices and Inherent Criteria
• Maintain and refresh BOM strategies, rollout plans, variant strategies, and component roadmaps in line with the strategic intent/critical priorities of the BOM and Innovation Leaders as well as other feature and component roadmaps within the Active Safety domain
• Support Supplier Development and Qualification
• Oversee Solutions & Escalate Issues: Chair Active Safety Component Workgroups for Viewing Camera variants
• Provide Architects and Program DREs and REs with “Best Fit” BOM Strategies, subsystems, components which encourage reuse
• Provide DRE with Best Fit Specifications, Best Practices, Inherent Criteria, Typical Sections, etc
• Approve BOM Picks and assure math data availability
• Provide Imperative information (cost, math, quality, etc.)
• Responsible for Requirements Peer Review
• Approve all other Peer Reviews and capture issues (e.g. integration)
• Responsible for eSOR and sourcing process
• Support Build issue resolution
• Incorporate Lessons Learned from DRE/RE into Strategies, Best Practices, Specifications, etc.
• Support Cost Reduction activities

Staff Hardware Engineer – ADAS Cameras

Threat Intelligence Specialist

• Contribute to the Program Intelligence & Reporting Strategy: Help shape the long-term vision, principles, and architecture for how management information, reporting, and dashboards support portfolio and capacity decision-making.
• Build decision-grade data products: Design, prototype, and deliver dashboards and reports that serve as the single source of truth for program health, capacity, and delivery performance.
• Own end-to-end analytics workflows: Translate business questions into metrics, data models, and visualizations that drive clear, actionable decisions.
• Drive integration and automation: Partner with data engineering and IT to integrate data from Jira, Sharepoint, and enterprise systems — enabling seamless, near real-time visibility across the PMO.
• Elevate how insights are communicated: Transform complex data into simple, compelling stories that drive alignment and action at the leadership level.
• Advance a data-driven culture: Help teams move from reporting to true insight — clarifying what the data means, why it matters, and how to act on it.

Senior Program Intelligence Analyst

Sales

• Act as a liaison between GM, its dealerships, and additional GM Partners.
• Grow and foster partnerships.
• Facilitate mentorship and consulting to ensure monthly/yearly sales objectives are met.
• Track dealership Customer Satisfaction Index (CSI) or other customer feedback resources to identify and address deficiencies or opportunities.
• Assist in product launches to ensure streamlined marketing and advertising between dealer, independent aftermarket (IAM) and GM.
• Monitor Dealership personnel training and ensure compliance with GM requirements/objectives.
• Assist with Dealership inventory management, including vehicle and or parts ordering and inventory stabilizing.
• Analyze Dealer sales, local market, and competition to identify revenue opportunities.
• Increase sales of GM vehicles and Accessory parts to its customers.
• Assist in customer problem resolution.
• Travel to your dealers in your designated region.

District Sales Manager

Engineering Manager

• Build highly scalable infrastructure and automations to empower large-volume test creation, full-lifecycle health monitoring, and process improvements.
• Effectuate scalable quality assessments and automations empowering better consistency, and process codifications to increase confidence.
• Influence technical roadmaps and strategic priorities while partnering cross-functionally to identify and resolve efficiency pain points.
• Write software in a relatively new vertical unconstrained by legacy bloat.
• Leverage AI tools to boost productivity, code quality, and innovation in simulation testing.
• Uphold high code quality and architecture standards through code reviews and technical leadership.
• Mentor and uplevel reports and colleagues to uplevel their software engineering skills (primarily Python).

Manager, Software Engineering

Data Analyst

• Analyze large volumes of diverse operational, financial, and asset-related data to identify trends, patterns, and anomalies that inform business decisions and ICC strategies
• Build and maintain dashboards, reports, and self-service analytics solutions (e.g., in Power BI or Tableau) that provide clear visibility into key performance indicators and metrics for ICC stakeholders
• Perform data profiling, cleansing, and validation to ensure data quality and reliability across structured and semi‑structured sources
• Collaborate with solutions engineers to define data requirements and support the development and enhancement of data pipelines feeding ICC reporting and analytics solutions
• Translate business questions from facilities, operations, construction, corporate citizenship and real estate partners into analytical problems, and deliver structured analyses and recommendations to support decision‑making
• Present complex findings in a clear, concise way using data visualization techniques and storytelling tailored to business and technical audiences, including ICC leadership
• Document data definitions, metrics, and reporting logic to promote consistency, reuse, and a shared understanding of ICC’s data assets
• Support continuous improvement by identifying opportunities to streamline reporting processes, automate recurring analyses, and enhance existing dashboards and data products
• Partner with data scientists on exploratory analysis, feature development, and measurement plans for more advanced predictive and prescriptive models; contribute to basic statistical analysis where appropriate
• Collaborate with professionals across the enterprise, including solutions engineers, data analysts, scientists, software developers, IT personnel, and internal customers in business operations

Financial Planning and Analysis

• Prepare and perform the key monthly data integrity check to ensure the data sent is complete and accurate.
• Develop and implement GMRS (GM Material Reporting System) timelines to ensure successful data input for actuals & forecast consolidation.
• Determine the deadlines to be met for key inputs are due to ensure the monthly close cycle runs on time.
• Monitor and manage the monthly process to ensure system deadlines are met by those feeding the system.
• Run various system calculations after key due dates to ensure the system is ready to process data for the next monthly process milestones are met.
• Troubleshoot data errors.
• Run and analyze various reports to key stakeholders including regional and corporate, data bridges, data reconciliations.
• Document and report system and process errors that occurred during the monthly cycle to ensure the root cause is determined and corrective actions taken to prevent re-occurrence.
• Submit GPSC performance to by vehicle line and supports the allocation methodology.
• Determine if the calculation is correct and remove any contracts that should be excluded.
• Run the process to allocate the performance to the vehicle cost forecast.
• Check the allocations are reasonable and finalize and archive the system.
• Run System calculations and deliver bridge data to Regional & Corp FP&A teams.
• Provide the actual month performance forecast variance, YoY performance and budget performance variances to the material cost analyst and ensure the data ties to the dashboards presented to leadership.
• Collaborate with team members to develop presentation materials for key meetings.
• Work closely with peers on presentations to help tie out performance metrics reported tie out.
• Support monthly GMNA FP&A and CFP&A forecast reviews.
• Support answering questions from regional and corporate leadership on material cost performance including research prior periods and run analysis.
• Develop monthly GPSC MoR reviews and supporting material.
• Ensure materials to be presented at the Monthly Operating Review with senior leaders match our functional analysis.
• Support the development of budget and LTP (Long-Term Plan) material for various leadership forums.
• Take key performance inputs from the LTP model and prepared the load template into the LTP consolidation system.
• Assist in preparing various presentation materials to be used in presenting the results of the LTP.

FP&A Consolidation – Finance Analyst

Engineer

• Develop turnkey battery cell formation solutions including developing and approving formation equipment specifications.
• Work with equipment suppliers on design, build, validation, and start-up of automation equipment.
• Facilitate ME deliverables including implementation of equipment specifications and MARO.
• Provide guidance on global regulatory compliance.
• Develop Bill of Process (BOP) and Bill of Equipment (BOE) including lessons learned feedback and program deviation evaluations.
• Provide technical support to product teams, manufacturing engineering and production facilities.
• Participate in the optimization of cell manufacturing layout of full-service automation systems.
• Support construction teams with specifications on fire suppression, building and facility requirements for assembly processes.
• Support implementation of GM safety specifications and equipment safety reviews.
• Develop strategies for implementation of AI-led smart manufacturing software and technology.
• Interface with leadership and support development of battery cell manufacturing strategies.
• Support start-up and ramp up of manufacturing plants.
• Continuously improve safety, quality, responsiveness, and cost.

Battery Cell Formation Process Engineer

Solutions Engineer

• Lead software readiness reviews to support global program launch.
• Planning and execution of program feature checkouts to support milestone expectations.
• Support and assign Engineers to identify, troubleshoot, and resolve software integration issues.
• Chair Program Software Readiness meetings cross-functionally to drive software quality.
• Represent the Software Integration Team in forums with the Program Team.
• Collaborate with Lead Development Engineer to status program readiness at each milestone.
• Ensure program issues are documented in PRTS and prioritize issue resolution based on impact to the program.
• Support the acquisition and analysis data logs for root cause identification.
• Work directly with suppliers to develop, test and integrate software as needed.
• Support manufacturing assembly plants, Pre-Production Operations, and development teams.

Lead Software Integration Engineer

Product Manager

• Define and evolve the product vision and roadmap for Fleet Customer Success Solutions using customer, advisor, and operational insights.
• Align Fleet priorities with GM Commercial strategy, the broader Customer Success Solutions roadmap, and GM’s digital transformation goals.
• Drive integrated, AI-enabled Fleet customer and advisor experiences across advisor & case management, Knowledge Management, Digital Engagement, and Self-Help.
• Serve as the Fleet subject matter expert across Commercial Service Platform (CSP), Advisor platform (Salesforce OneCRM), Knowledge Management, Digital Engagement / agentic AI, and self-service journeys.
• Translate Fleet business needs into clear, actionable requirements and user stories in Jira Align / Jira, explicitly managing cross-platform dependencies.
• Track and analyze adoption, digital containment, self-service, deflection, first-contact resolution, throughput, and SLA adherence across Fleet markets and channels.
• Own Fleet-related intake, prioritization, and backlog grooming, and support roadmap sequencing and release planning with Product, PMO, Engineering, Business Operations, and Go-to-Market teams.

Senior Product Manager – Fleet Customer Success Solutions

• Collaborate with cross-functional teams within the software, mechanical, and manufacturing spaces to ensure successful integration of network technologies electrical design.
• Perform detailed hardware analysis, including worst-case analysis, signal integrity, and power integrity.
• Troubleshoot hardware issues, perform root cause analysis, and implement solutions.
• Conduct design reviews and provide constructive feedback.
• Develop requirements and test specifications.
• Develop a clear test strategy, covering all aspects of development.
• Lead bench test execution throughout the development lifecycle.
• Establish domain expertise for semiconductors and electronic control unit product lines within scope of responsibility.
• Manage technology roadmaps in close collaboration with industry leaders.

Senior Hardware Engineer – Network Technology and Design, SerDes

Software Engineer

• Develop and maintain high‑voltage battery diagnostic calibrations for GM electric vehicles, including cell, pack, current, temperature, and controller‑integrity diagnostics, owning well‑defined calibration areas with guidance from senior calibrators.
• Implement and tune calibrations based on advanced EV control designs using data from simulation, lab benches, and vehicle testing, following established calibration methods and standards.
• Execute validation activities for diagnostic performance and robustness across SIL, HIL/ChIL, battery lab, and vehicle environments, analyzing results to confirm requirements are met and escalating issues appropriately.
• Collaborate closely with software scrums, other calibration scrums, system safety, and validation teams to ensure diagnostic calibrations align with feature intent, safety goals, and planned test coverage.
• Support calibration‑driven issue resolution by analyzing data, reproducing issues, proposing calibration changes, and driving closure of assigned actions in support of launch quality and field reliability.
• Apply and help refine standard work (procedures, test plans, calibration rules and checks) so HV battery diagnostics remain consistent and scalable across EV programs and architectures; provide feedback and contribute updates in your areas.
• Manage calibration content for your features through GM’s calibration tools and workflows (change management, reviews, and release processes) to ensure traceable, high‑quality software deliveries.
• Use product health and field data (e.g., diagnostic metrics and robustness indicators) to monitor performance in the field, identify trends in your ownership areas, and recommend calibration improvements to reduce customer‑impacting diagnostic issues.
• Demonstrate Level 6 behaviors by: Working under general supervision with limited day‑to‑day direction while knowing when to seek guidance. Collaborating effectively with more senior team members and cross‑functional partners. Taking ownership of assigned work, following through on difficult situations, and contributing to continuous improvement within your immediate team.

HVBD Calibration Engineer

Business Intelligence Analyst

• Collaborate with stakeholders, including data analysts, data scientists, architects, and business teams, to ensure data solutions meet organizational requirements and compliance standards.
• Design, develop, and maintain data pipelines to transfer data from various databases to Databricks, leveraging both batch and real-time methodologies as appropriate.
• Lead the overall ETL/ELT architecture, including extraction, transformation, and data loading strategies, ensuring scalability, performance, and data integrity.
• Optimize and tune ETL/ELT processes for large-scale and real-time data movement, ensuring resource efficiency.
• Ensure data security, quality, and compliance across the whole process.
• Model, integrate, and optimize data structures in the Databricks platform, taking into account data lakes, data warehousing needs, and analytics workloads.
• Automate and monitor data workflows for reliability, transparency, and fault tolerance throughout the migration and beyond.
• Document data flows, transformation logic, and technical specifications for all data integration processes, enabling maintainability and smooth knowledge transfer.

Senior Business Intelligence Data Engineer

• Develop, maintain, and calibrate physiochemical, electrochemical, thermal, mechanical, and safety models for current and future battery chemistries.
• Use COMSOL, MATLAB/SIMULINK, SABER, Python, and PyBaMM to implement multi-scale and multi-dimensional cell models.
• Collaborate with test teams to enhance test protocols to support model development.
• Participate in development of material test methods and provide electrochemical parameter database.
• Incorporate cell performance variation, aging mechanisms, and thermal behavior into simulation frameworks.
• Document models, assumptions, and intended model usage.
• Support electric vehicle execution by releasing models integrated into full vehicle co-sims supporting calibration, diagnostics, battery state estimation, controls development and warranty.
• Develop methods to gain data insights applying statistics and machine learning to cell performance data.
• Improve analysis efficiency by applying variation and statistical methods paired with ML learning.