General Motors

Data Engineer

• Lead the design and development of migrating on-prem data systems to cloud environments
• Design data solutions around current and future data security and privacy requirements
• Work with data engineers and data scientists to understand data needs and deliver solutions
• Build and maintain operational and analytic datastores
• Assist in designing, developing, and maintaining ETL/ELT pipelines
• Document processes and contribute to knowledge sharing within the team
• Learn how to optimize cloud compute and storage cost

Entry-Level Data Engineer

Systems Engineer

• Architect, deploy, and maintain Ubuntu Linux systems for development and production environments.
• Design and manage virtual desktop infrastructure (VDI) solutions using technologies such as Omnissa Horizon, Citrix, or similar platforms.
• Collaborate with software engineering teams to optimize system performance and integration.
• Automate system provisioning and configuration using tools like Ansible, Terraform, or similar.
• Monitor system health, performance, and security; implement proactive measures and incident response.
• Develop and maintain documentation for system architecture, processes, and procedures.
• Provide Tier 3 support and mentorship to junior engineers and support staff.
• Participate in strategic planning for infrastructure growth and modernization.

Senior Linux System Engineer

Engineering Manager

• Lead and Manage Teams: Oversee a team of software engineers, providing mentorship, career development, and performance management.
• AI Platform Development: Architect and implement AI solutions across VEQ using GLEAN and DBX Genie, ensuring scalability and compliance with enterprise standards.
• Data Platform Expertise: Collaborate with data engineering teams to design and optimize data pipelines, leveraging big data technologies such as Spark, DBX, and advanced SQL.
• Cloud Transformation: Lead migration and optimization of AI and data workloads to cloud platforms (Azure preferred), ensuring security and performance.
• CI/CD and DevOps: Implement advanced CI/CD pipelines using GitHub Actions, automated builds, and deployments.
• Cross-Functional Collaboration: Partner with product, data science, and infrastructure teams to deliver AI-driven features and solutions.
• Technical Governance: Ensure adherence to GM’s coding standards, security practices, and documentation requirements.
• Innovation and Strategy: Identify emerging AI technologies and integrate them into GM’s ecosystem to maintain competitive advantage.

Senior Software Engineering Manager – AI Development

Analyst

• Support the identification and execution of strategic projects and serve as resource and thought partner to key stakeholders
• Conduct qualitative and quantitative analyses that yield compelling business insights and actionable recommendations
• Collaborate with various GM teams and leverage external resources as needed to obtain data and/or generate insights that provide a deeper understanding of the market and our customers to inform strategy development
• Apply data and analytics methodologies to set direction and prove/disprove hypotheses in our strategies
• Communicate complex business concepts in a structured and succinct manner that conveys an actionable point of view

Senior Analyst, Corporate Strategy

Full-stack Engineer

• Develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM’s global platforms.
• Collaborate with cross-functional teams (data scientists, software engineers, product teams) to bring AI solutions into production at scale.
• Implement robust, high-performance software systems with a focus on scalability, security, and efficiency.
• Lead technical initiatives in validation, deployment, and monitoring in real-world environments.
• Implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools.

Software Engineer

Art Director

• Demonstrate thorough technical understanding of the Secure Vehicle Access domain (requirements, in-house controls/software work, deployment activities & landscape, etc.) so you can lead the ART (agile release train)
• Look Ahead: anticipate issues, "see around corners," and plan ahead
• Act as a dot connector, bridge builder and translator
• Channel diverse viewpoints so the ART can work as a team towards common goals
• Convey background, context and "WHY"
• Lead, support and/or actively engage in all product-related ceremonies & forums
• Lead, support and/or actively engage in product-related activities & initiatives
• Demonstrate drive for relentless improvement
• Own the ART (Agile Release Train) Roadmap and Vision
• Develop, maintain and effectively communicate the ART Roadmap, Product & Solution Vision
• Proactively collaborate with Product Team, internal/external customers and stakeholders to understand priorities, dependencies, deliverables and timing needs
• Create and effectively communicate Program Increment Objectives
• Support & maintain a comprehensive CoSim plan for the ART
• Own the ART (Agile Release Train) Backlog
• Ensure alignment with product strategy and vision
• Review, prioritize and manage work requests

Art Manager – Secure Vehicle Access

• Join a team of builders shaping enterprise-grade data products and platforms that power analytics, customer experiences, and operational insights at scale.
• Design, build, and operate reliable batch and streaming data pipelines.
• Architect and implement scalable ETL/ELT pipelines and services using modern data platforms and best practices.
• Build streaming and micro-batch data flows, including schema evolution, late/out-of-order events handling, and exactly-once delivery semantics.
• Model data for analytics and ML using layered “bronze/silver/gold” patterns.
• Embed observability (logging, metrics, tracing), data quality checks, and cost/performance optimization into everything you ship.
• Automate testing and deployments with CI/CD.
• Collaborate with domain SMEs and data product owners to define requirements, acceptance criteria, and success metrics.
• Operate what you build: participate in on-call/incident response rotations and drive RCA and preventative engineering.

Senior Data Engineer

Android Engineer

• Design, develop and integrate Android/Linux and QNX components for infotainment.
• Lead the integration of Android applications within Android Automotive OS with embedded platforms and multi-display vehicle architectures.
• Build reusable frameworks and services within Android, leveraging AOSP, Jetpack, and HIDL/AIDL interfaces.
• Collaborate cross-functionally with hardware, product, and design teams to deliver responsive, beautiful, and consistent in-vehicle experiences.
• Drive Android-RTOS coexistence strategies, enabling seamless handoff and communication between systems.

Staff Android Software Engineer

Engineer

• Near term – coordinate deliverables from a 3rd Party safety analysis provider to obtain required ECU circuit level safety analysis on SDV ECUs to meet project technical and timing expectations until long term state attained.
• Long term – support process development, identification of pertinent training and building team capability to perform ECU circuit level safety analysis, hazard identification and risk mitigations using qualitative and quantitative methods on a multitude of ECUs.
• Support ECU Safety strategy development and deploy safety strategies that balance overall System Safety with feature availability & performance.
• Perform ECU circuit level safety analysis using various software analysis & documentation tools in the following areas: DFMEA (Design Failure Mode Effects Analysis) FIT (Failures In Time) FMEDA (Failure Modes, Effects and Diagnostic Analysis) FTA (Fault Tree Analysis).
• Drive ECU, sub-component and/or circuit level design modifications determined necessary from the safety analysis work performed.
• Support development of new and/or revise existing technical safety related requirements for ECU CTRS (Component Technical Requirements Specification).
• Actively lead, participate and contribute in System Safety GSSLT (Global Subsystem Leadership Team), ECU HW Change Control Board and ECU safety analysis Peer Review forums.
• Stay abreast of new technologies and safety analysis techniques.
• Domestic and/or international travel as required (minimal, 10% max).

ECU Hardware Safety Analysis Engineer

• Lead the development of agentic simulation frameworks, AI-driven knowledge management systems, and virtualization strategies for complex engineering environments.
• Agentic Simulation Frameworks: Architect multi-agent workflows for design, analysis, and decision-support.
• Implement orchestration strategies for parallel and serial agent execution.
• Integrate AI agents for requirement verification, optimization, and adaptive learning.
• Deploy Validation strategies for authenticating, synchronization and optimizing organizational knowledge.
• Design Knowledge Management (KM) pipelines across multiple platforms and develop predictive models for AI tool efficacy.
• Validate KM systems through large-scale multi-agent simulations.
• Develop virtualization strategies for scalable simulation environments.
• Conduct performance analysis: throughput, latency, determinism, resource utilization, and robustness under stress.
• Apply statistical validation frameworks to ensure reproducibility and confidence in simulation results.
• Establish quantitative metrics for simulation fidelity and decision-making efficiency.

Staff Engineer – Virtualization, Knowledge Management, Agentic Simulation

• Manage and engineering team and/or managers specializing in virtual mechatronics and simulation technologies.
• Foster a culture of innovation, collaboration, and continuous learning.
• Define and execute engineering roadmaps for virtual mechatronics platforms aligned with GM’s enterprise architecture and product development goals.
• Champion adoption of digital twin technology, virtualized testing environments, and model-based design practices.
• Ensure delivery of high-quality, reliable virtual simulation environments and mechatronic integration tools.
• Oversee system performance, scalability, and cost optimization for virtual engineering platforms.
• Partner with product development, software engineering, hardware teams, and suppliers to enable seamless integration of mechanical, electrical, and software systems.
• Establish best practices for virtual engineering workflows, including simulation lifecycle management, CI/CD for models, and data governance.
• Support workforce planning and succession strategies for emerging technical roles in mechatronics and simulation.
• Mentor technical leaders and engineers to build future-ready capabilities.

Senior Engineering Manager – Virtual Test Platforms

• Lead the diagnostic software architecture and development related to all AV diagnostics.
• Own the diagnostic software applications and strategy for the development of in-house diagnostic software, collaborating effectively with cross-functional teams.
• Create and manage comprehensive architecture diagrams and technical execution plans.
• Deliver new diagnostic software solutions that comply with GM requirements and specifications.
• Consistently produce high-quality software through rigorous unit testing, thorough code reviews, and frequent check-ins for continuous integration.
• Review and approve Engineering Change Requests that impact GM Autonomous Vehicle Platform diagnostics globally.
• Communicate technical issues and decisions efficiently to management.
• Work with GM's manufacturing and service diagnostic teams to support new vehicle architectures, including Software Defined Vehicles (SDV).
• Collaborate with other Platform teams (Cybersecurity, Programming, Serial Data Communication, etc.) to analyze and address potential UDS integration issues.
• Assist in resolving production diagnostic problems by reviewing vehicle communication logs and other data records.
• Serve as a technical lead, actively guiding and mentoring fellow developers on the team to foster growth, collaboration, and technical excellence.
• Actively participate in hiring, development of technical questionnaires, resume reviews, and perform interviews.
• Represent the GM Diagnostic Software Team internally and externally through automotive industry work groups (ISO, SAE).

Staff Software Developer – AV Diagnostics

Content Marketing Manager

• Own the OnStar and additional commerce content design spaces
• Support a vision for an improved commerce experience
• Collaborate with designers, Customer Experience and Marketing team members
• Act as a subject matter expert and point of contact for all commerce content design
• Design great experiences through clear and concise language

Senior Content Designer, Commerce, Web and App, Human Interface Design

Security Engineer

• Lead, mentor, and develop a team of network security engineers and administrators, fostering a culture of continuous improvement and high performance.
• Manage the day-to-day operations of GM's enterprise security network, including multiple families of hardware and cloud-delivered firewall and proxy security controls, ensuring optimal uptime and performance.
• Oversee the planning, design, implementation, and maintenance of network security infrastructure projects, collaborating effectively with cross-functional teams.
• Oversee the planning, design, implementation and maintenance of methods and technologies to automate the implementation of security policies across GM’s multi-vendor enterprise fabric.
• Conduct performance management for team members, including goal setting, regular feedback, and professional development planning.
• Identify and resolve complex network security issues, performing root cause analysis and implementing preventative measures.
• Manage vendor relationships and service level agreements (SLAs) for network security services and equipment.
• Stay abreast of emerging security technologies, controls and industry trends, recommending strategic enhancements to the current infrastructure.
• Collaborate with other IT departments to ensure seamless integration of network security services with applications and systems.

Manager, Network Security Services Engineering

• Designing, coding, testing, debugging, documenting and integrating features and components of enterprise applications using various technologies and frameworks.
• Leading and mentoring other developers, sharing your insights and best practices, and providing constructive and supportive feedback.
• Participating in portfolio planning by providing realistic and accurate estimates of the effort and complexity of future projects, and helping to align them with the strategic objectives.
• Ensuring quality and reliability of your code by developing automated tests, and implementing CI/CD pipelines to facilitate continuous delivery of your applications.
• Supporting the deployment, monitoring, troubleshooting, and maintenance of your applications in different environments, using DevOps tools and practices.