General Motors

Data Engineer

• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability.
• Lead and deliver data-driven solutions across multiple languages, tools, and technologies.
• Contribute to architecture discussions, solution design, and strategic technology adoption.
• Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code.
• Design and develop new source system integrations from varied formats (files, database extracts, APIs).
• Design and implement solutions for delivering data that meets SLA requirements.
• Work with operations teams to resolve production issues related to the platform.
• Apply best practices such as Agile methodologies, design thinking, and continuous deployment.
• Develop tooling and automation to make deployments and production monitoring more repeatable.
• Collaborate with business and technology partners, providing leadership, best practices, and coaching.
• Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies.

Senior Data Engineer

Systems Engineer

• Design, deploy, and manage Azure IaaS and PaaS solutions, including virtual machines, storage accounts, networking, and databases.
• Implement and maintain robust Linux-based systems within the Azure cloud, ensuring high availability and performance.
• Utilize various System Management Tools to monitor system health, identify potential issues, and proactively address them.
• Perform Incident Reporting and resolution for production issues, collaborating with other IT teams to minimize downtime.
• Apply strong Troubleshooting IT Systems skills to diagnose and resolve complex technical problems across the Azure landscape.
• Collaborate with development teams to optimize database performance and ensure data integrity, leveraging knowledge of Database Theory.
• Develop and implement automation scripts for routine tasks and infrastructure provisioning.
• Ensure compliance with security policies and industry best practices within the Azure environment.
• Participate in on-call rotations for critical system support.

Azure Systems Engineer – Motorsports

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 – Buick/GMC

Recruitment

• Act as a strategic thought partner to the Director, Executive TA.
• Partner and actively build collaborative relationships with hiring leaders across different organizations.
• Work with assigned functional area’s Human Resource partners and hiring leaders to develop desired recruiting strategies.
• Employ continuous improvement through consistent re-assessment of executive recruiting plans.
• Train hiring leaders in the interviewing and onboarding processes.

Executive Recruiter

• Lead all aspects of systems engineering for sensors and embedded platforms, from requirements to integration.
• Own subsystem-level strategy and influence platform-wide decisions.
• Develop and maintain technical specifications, requirements, and interface definitions.
• Drive architectural reviews and enforce best practices for embedded development.
• Collaborate across hardware, software, and test teams to ensure seamless integration.
• Mentor junior engineers and contribute to team capability building.
• Communicate technical concepts effectively to stakeholders at all levels.

Senior Systems Engineer – Autonomy Interface SW

Full-stack Engineer

• Implement and maintain GM Motorsports aero-thermal applications including CFD model construction, visualization, and analysis using microservices architectures to creatively integrate loosely coupled systems.
• Define a templated approach to integrate dependent systems in a functional programming model.
• Scrum story delivery.
• Playbooks, implementation architectures, interfaces, build frameworks, code, testing, deployment for your story.
• Participation in solution architectures.
• Working with other members to collaborate, support, and otherwise work together.

Senior Software Engineer – Aero Platform

Account Manager

• Translate GM’s corporate and technology imperatives into forward-looking partner strategies with leading cloud and enterprise technology providers.
• Serve as a thought-partner to the business by identifying and recommending high impact partnership initiatives aligned to business, technology, and market needs.
• Build and maintain deep, trust-based relationships with our strategic partners – enabling GM to navigate complex organizations to secure alignment and drive joint initiatives.
• Lead and negotiate large-scale, non-standard, and innovation-focused transactions from inception to negotiation and final contract signature.
• Orchestrate complex, multi-disciplinary teams across engineering, product, legal, and business development to ensure successful execution and integration of partnerships.
• Manage strategic planning and governance - establish the operational rigor for the partnerships, including executive-level business reviews and key performance indicator (KPI) reporting for key strategic partners.
• Stay abreast of emerging technologies and partnership models, inclusive of global activities, shaping GM’s approach to innovation and external collaboration.
• Build, lead, mentor, and guide a high performing team of business development and partnerships professionals.
• Champion GM behaviors, fostering a culture of integrity, innovation, inclusivity, and accountability.

Head of Cloud and Enterprise Technology Partnerships

• Define subsystem-level strategy and influence platform-wide architecture for sensors and embedded systems.
• Lead development of technical specifications, requirements, and interface definitions for complex systems.
• Drive architectural reviews and establish best practices for embedded development, including safety-critical aspects.
• Conduct research and proof-of-concept for next-generation technologies; provide forward-looking recommendations to leadership.
• Mentor engineers across levels and advocate for technical excellence and continuous improvement.
• Collaborate with senior leadership, product managers, and cross-functional teams to align technical vision with business goals.
• Communicate complex technical concepts effectively to both engineering teams and executive stakeholders.

Staff Systems Engineer – Autonomy Interface SW

DevOps Engineer

• Work in a fast-paced environment partnering with business, technology, and platform teams to ensure reliability, performance, and scalability of Salesforce systems.
• Monitor, troubleshoot, and resolve incidents in Salesforce and integrated systems, ensuring minimal downtime and timely communication to stakeholders.
• Responsible for maintaining, automating, and enhancing CI/CD pipelines using Copado and other DevOps tools.
• Analyze and resolve code conflicts, reviewing Apex classes, triggers, and metadata deployments to ensure smooth and error-free releases.
• Use SOQL and Salesforce Developer Console for debugging, performance optimization, and data validation.
• Manage and optimize user permissions, profiles, roles, and personas, ensuring secure and compliant access control.
• Develop and maintain monitoring and observability dashboards, with an emphasis on proactive alerting and system reliability.
• Support and collaborate on incident response, root cause analysis, and implement long-term corrective actions.
• Integrate Salesforce with Event Hub and other enterprise systems, ensuring seamless event-driven communication.
• Collaborate with MuleSoft integration teams to design, test, and monitor data flows across systems.
• Analyze logs, telemetry, and metrics to identify patterns and opportunities for automation or optimization.
• Partner with engineering and business teams to drive reliability engineering best practices, capacity planning, and performance tuning.
• Document procedures, incident resolutions, and system runbooks to promote knowledge sharing and consistency.
• Stay current on Salesforce platform releases, observability frameworks, and emerging reliability engineering practices.

Senior Salesforce Site Reliability Engineer

Product Manager

• Define and own the product vision and roadmap for in-vehicle authentication.
• Lead the development and integration of authentication methods into vehicle UI and connected platforms, ensuring seamless onboarding and sign-in experiences.
• Partner with Account & Identity, Security, and Setup teams to deliver secure authentication flows that meet privacy, regulatory, and cybersecurity standards.
• Leverage Design Thinking methodologies to collaborate with design and research, delivering intuitive authentication experiences that reduce friction and increase adoption.
• Establish and track KPIs such as authentication success rate, security incident rate, user adoption, and customer satisfaction.
• Serve as the voice of the customer and advocate for secure, seamless authentication across all GM digital touchpoints.
• Monitor emerging authentication trends, technologies, and threats; incorporate data, research, and market analysis to inform and prioritize the product roadmap.

Senior Product Manager, In-Vehicle Authentication and Authorization

• Design, implement, and maintain user-facing web applications and internal tools used by AV engineering teams.
• Build scalable backend services and APIs that power frontend experiences.
• Ensure systems are secure, reliable, and performant at scale.
• Develop modern, responsive UIs using frameworks such as React, Angular, or similar.
• Collaborate with UX and product partners to deliver intuitive workflows and polished user experiences.
• Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
• Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
• Engage effectively in team planning, code reviews, and design discussions.
• Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns.

Staff AI/ML Full-Stack Engineer, AV Pipelines, Lineage

Machine Learning Engineer

• Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
• Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
• Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
• Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.

Senior AI/ML Engineer, AV Pipelines – Lineage

Engineer

• Build, troubleshoot, and run complex analytical models to assess dynamic stress behavior as well as noise and vibration performance.
• Provide component level and/or system level design recommendations to customers (DRE’s, N&V engineers) based on interpretation of analysis results
• Advance analysis capabilities to reduce physical testing needs and support GM’s vision for increased virtualization.
• Develop, maintain, and continuously improve standard work and procedural documentation.
• Support teams throughout the full program lifecycle—from concept through production—ensuring CAE models are optimized for effective customer use.
• Lead capability‑building initiatives related to our area of expertise
• Drive efforts in cost reduction, size optimization, and overall efficiency improvements.
• Provide technical leadership, guidance, and mentoring to engineers to ensure accurate, efficient delivery of virtual propulsion work.
• Build and sustain strong partnerships with cross‑functional teams, including Advanced, Program, Design Release, Validation, and NVH engineering groups.

Virtual Propulsion Engineer – Dynamics, NVH Analysis

• Follow the GM System Safety Process, aligned with ISO 26262, to conduct functional safety work across ADAS longitudinal features
• Drive system safety analysis, hazard identification, and risk mitigation activities using both qualitative and quantitative methods
• Decompose complex, top‑level system functions to perform hazard analysis and derive clear, testable safety requirements
• Develop, own, and maintain system safety plans and deliverables aligned to program milestones and launch timelines
• Partner closely with cross‑functional teams (systems, software, hardware, validation, and program leadership) to develop and deploy a safety strategy that balances feature availability and performance
• Support definition of verification and validation plans that assess end‑to‑end implementation of safety requirements
• Lead and support resolution of safety issues identified during bench testing, vehicle integration, and on‑road development
• Coach and support cross‑functional teams on safety‑critical systems, processes, and best practices, consulting senior system safety engineers as needed

Senior ADAS System Safety Engineer

Technical Program Manager

• Drive the end-to-end strategy, planning, and execution of a large cross-functional program, aligning all the different stakeholders that participate in the life cycle of model training.
• Collaborate with engineering, validation, and product teams to help in defining requirements, prioritize features, and deliver solutions supporting AI development cycle performance.
• Translate complex technical requirements into clear, actionable program plans with measurable outcomes and timelines across multiple teams.
• Identify technical and program risks early, lead mitigation strategies, and ensure smooth change management processes.
• Ensure processes and pipelines are designed for long-term scalability, performance, and operational excellence.
• Define and track key performance indicators (KPIs) for training efficiency, model quality, and delivery velocity; provide regular updates to senior leadership.