General Motors

DevOps Engineer

• Architect enterprise-scale CI/CD systems for embedded, simulation, and cloud workloads
• Define branching, release, and quality-gate standards across multiple engineering domains
• Design GitOps-based delivery for multi-cluster Kubernetes environments
• Lead progressive delivery strategy including automated rollback and analysis
• Establish IaC architecture using Terraform modules and multi-environment patterns
• Integrate security and compliance into pipelines and artifact flows
• Define observability standards for pipelines, simulation workloads, and runtime systems
• Mentor DevOps and simulation developers across the organization.

Staff Software Architect – DevOps

Full-stack Engineer

• Develop backend services supporting virtual ECUs, simulation orchestration, and model execution
• Build tools for SIL workflows including scenario execution, data capture, and automation
• Integrate AI/ML components into simulation or validation pipelines
• Design APIs for simulation control, artifact management, and orchestration
• Optimize performance for compute-intensive workloads
• Collaborate with DevOps and simulation teams to ensure seamless integration
• Contribute to CI/CD workflows for simulation and AI components

Senior Software Developer – Virtualization, SIL, AI‑Enablement

• Design and maintain CI/CD pipelines for virtual ECUs, embedded software, and simulation artifacts.
• Automate build, test, and packaging workflows across C++, Python, MATLAB/Simulink, and model-based toolchains.
• Operate containerized simulation environments using Docker and Kubernetes.
• Implement GitOps workflows for multi-cluster consistency and reliability.
• Optimize developer velocity through caching, artifact reuse, and workflow simplification.
• Integrate observability into pipelines for traceability, metrics, and debugging.
• Collaborate with embedded, simulation, and controls teams to align delivery with model-based development workflows.
• Support cloud-based SIL execution for large-scale parallel simulation.

Senior Software Developer – DevOps

Product Manager

• Lead the Transformation Team's track for a large-scale digital workplace and AI transformation.
• Define and run the team operating model.
• Recruit, lead, and develop Transformation Team Leads.
• Own team intake and sequencing within platform readiness windows.
• Co-own the integrated master sequence with the Head of Platform.
• Define business outcomes and success metrics for each team with the relevant business sponsor.
• Drive workflow redesign, process simplification, AI-enabled tooling, and adoption across business functions.
• Manage engineering demand from a shared engineering organization and resolve allocation issues within agreed governance.
• Partner with Enablement and Change on embedded change leadership.
• Own team lifecycle through formal sustainment handoff.
• Deliver consolidated delivery reporting across teams.

Head of Transformation – Product Management

Software Engineer

• Lead the development and deployment of AI/ML technologies for GM’s vehicle motion control and estimation
• Collaborate with cross-functional teams, including control engineers, software developers, calibrators, and business stakeholders, to define project requirements and ensure successful execution
• Ensure the timely delivery of projects by monitoring progress, addressing roadblocks, and implementing agile methodologies improve speed, quality, and safety across development cycles
• Provide technical guidance and mentorship to engineers and foster a culture of continuous learning and professional growth
• Stay abreast of emerging technologies and trends in AI/ML, recommending innovative approaches to enhance our designs
• Define system architecture and design, incorporating best practices and industry standards to create robust and maintainable systems
• Communicate project status, risks, and opportunities to senior leadership
• Partner with other departments to promote AI/ML adoption across the organization
• Manage resource planning and team development
• Model and foster GM's Core Values and Winning Behaviors

Engineering Group Manager, AI/ML for Chassis Controls

• Own the design release and execution of body/chassis structure components from concept through production
• Lead technical development for components and/or new technologies within vehicle programs
• Drive engineering decisions by balancing performance, cost, weight, and timing
• Conduct design analysis and validate designs through testing and development activities
• Collaborate cross-functionally with design studio, manufacturing, purchasing, quality, and suppliers
• Support prototype builds, vehicle integration, and production launch activities
• Identify and implement product improvements and cost reduction opportunities
• Ensure components meet GM technical standards, safety requirements, and quality expectations
• Communicate complex technical topics clearly to leadership and stakeholders

Design Release Engineer – Vehicle Structures

Engineer

• Lead and generate technical solutions, including requirements definition, functional decomposition, analysis, development, and testing for current, new, and major vehicle programs
• Lead development of software system team design content in Embedded C and drive software anomaly investigation and correction
• Perform complex design analysis to support robust controls development and integration
• Specify, decompose, and balance system requirements across functions and interfaces
• Provide, communicate, and support common best practices across the software and controls engineering community
• Serve as a subject matter expert for at least one platform, subsystem, or application component
• Develop, integrate, and validate rapid prototype controls solutions to support early feature development, proof-of-concept work, and vehicle-level learning
• Collaborate with systems, software, calibration, validation, and vehicle integration teams to deliver high-quality controls content
• Support issue identification, root cause analysis, and corrective action for prototype and production-intent controls behavior
• Contribute to continuous improvement of controls methods, tools, and development processes.

Controls Development Engineer – Rapid Prototype

Data Engineer

• Design, build, and productionize reliable, scalable, and secure data pipelines and data products in Azure Databricks that support AI, analytics, and operational use cases.
• Lead the transformation of raw data from multiple source systems into trusted, well-structured datasets suitable for downstream analytics, model development, and AI enablement.
• Drive improvements in internal processes, delivery patterns, and technical solutions that support broader functional strategy and increase team efficiency.
• Solve complex and non-standard data engineering problems using advanced analytical and problem-solving techniques, with strong ownership and sound technical judgment.
• Partner closely with data scientists, analysts, software engineers, product stakeholders, and business teams to ensure data is accessible, trustworthy, and aligned to business outcomes.
• Support AI and data science use cases by enabling high-quality feature-ready data, experimentation workflows, and scalable patterns for model development and deployment.
• Contribute to technical direction within the team, influence key engineering decisions in their area, and act as a go-to resource for peers and less experienced engineers.
• Mentor team members through technical guidance, knowledge sharing, and strong engineering practices consistent with Level 7 expectations.

Senior Data Engineer

Platform Engineer

• Design, implement, and operate the Ansible Automation Platform (AAP) including controller, execution environments, mesh architecture, and collections strategy.
• Define and maintain the Ansible Platform roadmap, including feature evolution, lifecycle management, scalability planning, and enterprise adoption milestones.
• Establish platform governance: coding standards, role/playbook patterns, collections, testing frameworks, and security guardrails.
• Build and maintain Execution Environments (EEs) optimized for performance, security, and dependency management.
• Lead platform upgrades, migrations, and cross-environment standardization.
• Design enterprise-grade Ansible automation frameworks with reusable roles, collections, and modular playbooks.
• Build automation for provisioning, configuration management, patching, compliance, and cloud infrastructure.
• Integrate Ansible with Terraform, CI/CD pipelines, GitOps workflows, and event-driven automation systems.
• Implement self-service automation capabilities for developers, operations, and business teams.
• Integrate Agentic AI systems to enhance automation workflows, including: AI-driven playbook generation and validation, Automated remediation recommendations, Intelligent change-impact analysis, AI-assisted troubleshooting, and root-cause analysis.
• Design automation patterns that combine AI reasoning with Ansible execution for predictive and autonomous operations.
• Collaborate with AI/ML teams to embed automation signals into AIOps pipelines.

Ansible Automation Engineer

• Responsible for the architecture, roadmap development, efficient operation of Ansible Automation Platform (AAP)
• Blend deep technical mastery with platform engineering leadership
• Envision, design and evolve the Ansible Platform
• Build reusable automation frameworks
• Integrate automation with other platforms like ServiceNow
• Drive operational excellence through AI‑powered automation
• Enable self‑service, reduce operational toil, modernize infrastructure operations

Senior Ansible Automation – Platform Engineer

• Design, develop, implement and test embedded controls algorithms and software for electrification propulsion systems.
• Translate physics-based and controls-based requirements into robust mechatronic control and diagnostics software.
• Demonstrate feature functionality and readiness through testing.
• Contribute to common, scalable software solutions across GM-owned platforms.
• Document requirements, link them to test cases, and ensure thorough verification of software functionality.
• Use automated test tools and environments-including builds, benches, and vehicles-to verify performance at the controller, system, and vehicle level.

Software Engineer – Vehicle Motion Embedded Controls

Account Manager

• Lead the IT workstream across diligence, Day 1, integration, stabilization, separation, carve-outs, and wind-down planning, ensuring risks, dependencies, and decisions are clearly managed.
• Assess target and partner environments across applications, infrastructure, data, cybersecurity, end-user computing, identity, collaboration platforms, and vendors to inform risk, cost, timing, and prioritization.
• Build repeatable frameworks, playbooks, templates, governance models, and reporting for transaction execution and partner operations.
• Lead secure external collaboration and data-sharing approaches, including partner connectivity, access controls, records and lifecycle management, security exceptions, and separation-related cleanup.
• Support joint ventures, alliances, and strategic partnerships through operating model decisions, controlled data exchange, transition planning, and wind-down or decommission coordination where needed.
• Act as the trusted advisor to GM leaders and external executives on transaction and partner technology matters, translating technical issues into business risk, cost, and execution choices.
• Lead through influence across Security, Infrastructure, End User, Applications, Data, HR, Finance, Legal, Compliance, Procurement, and business teams to drive timely decisions and outcomes.

Principal, Strategic Partnerships, M&A, IT

Manager

• Develop and execute global commodity and sourcing strategies that improve cost, quality, delivery, capacity, and supply continuity
• Lead cross-site and cross-regional supplier performance for PCBA/SMT and related commodities, including business reviews, escalation management, and operational issue resolution
• Own sourcing activities from strategy through contract negotiation, supplier selection, and execution of budget and business plan objectives
• Partner with Engineering, Manufacturing, Quality, Logistics, Supply Chain, Legal, and Finance to align procurement and operational strategies with program needs
• Use data, cost models, benchmarking, value chain analysis, and supplier negotiations to identify savings, reduce risk, and improve performance
• Support new product introduction, launch readiness, and process changes by ensuring supplier readiness, manufacturability, and capacity alignment
• Drive continuous improvement across safety, quality, delivery, cost, and productivity metrics, including yield, throughput, cycle time, and on-time delivery
• Lead and develop a high-performing team through coaching, performance management, mentoring, and organizational planning
• Assess supplier and component capacity to match business demand while supporting applicable compliance requirements and regional considerations
• Ensure compliance with internal procedures, quality standards, traceability requirements, and applicable supplier and manufacturing expectations
• Communicate risks, mitigation plans, and performance trends to leadership and key stakeholders

Global Commodity Manager – PCBA/SMT Multi-Site

Hardware Engineer

• You will be a senior individual contributor in the Wireless Technology organization, with primary responsibility for Wi‑Fi and Bluetooth connectivity on multi‑radio products.
• Translate vehicle‑level use cases into robust, testable RF hardware and system requirements.
• Contribute to Wi‑Fi/BT RF system architectures defined by Staff/Principal engineers and help drive those architectures into concrete designs and validation plans.
• Lead RF validation, characterization, and debug across bench, chamber, and in‑vehicle environments, with a strong emphasis on multi‑radio coexistence.
• Actively collaborate with GM’s compliance teams and external labs in debugging and troubleshooting issues found in Wi‑Fi Alliance and Bluetooth SIG certification.

Senior Hardware Engineer – Wi-Fi/BT Connectivity

• Inspect, research and analyze the field performance of GM current and past production vehicle.
• Work with data research to identify potential anomalies in field performance that should be understood in more detail.
• Research the development of components and subsystems within the context of observed field performance by collaborating with other GM resources.
• This may include identifying and interviewing GM employees as well as probing GM systems for historical information related to the parts in question.
• Utilize existing field inspection processes to gain further information about specific vehicles.
• When appropriate, conduct field inspections of post-crash vehicles or in-service vehicles either at dealerships or in the possession of a customer.
• Compile and scrutinize gathered information to resolve if the observed field performance may constitute an emerging issue.
• Make formal presentations to the Safety and Compliance Categorization Team (SCCT) or Potential Investigation Review (PIR) board.
• Support resulting investigations as required with background information and engineering analysis
• Coordinate SCCT agenda with engineers, managers and senior managers and facilitate meetings to produce concise case decisions.
• Develop knowledge and/or working experience with GM vehicle hazards, vehicle regulations, federal data systems and investigations, NHTSA special crash investigations, TREAD reporting