General Motors

Analytics Engineer

• Design, build and maintain critical visuals (PowerBI or Tableau dashboards, reports, etc.) for chassis sub-systems (brakes, steering, and suspension).
• Establish data-architecture (for gold and platinum layers) in this chassis space.
• Work with IT to source appropriate data-sets.
• Design, build and maintain scalable data pipelines to process data.
• Build data quality monitoring processes to detect and resolve data anomalies.
• Collaborate with chassis hardware and software designers, developers, and quality engineers to establish the best metrics to track and predict performance.
• Collaborate with AI/ML scientists and other hardware and software engineers to build engineered features and data pipelines for prognostic and diagnostic algorithms.
• Implement and oversee data governance policies to ensure data integrity, security, and compliance.
• Ensure issues observed in your analysis are chased to closure by organizing meetings, creating issue reports, and reporting out to management.
• Change-manage your digital products and their associated requirements.
• Actively participate in analytics forums and cross-functional groups, sharing knowledge and insights within and beyond the chassis engineering domain.

Senior Data Analytics Engineer - Vehicle Chassis Systems

Cloud Engineer

• Implement and manage the lifecycle of Kubernetes (GKE) clusters across hybrid and multi-cloud environments, ensuring production safety through automated patching and upgrades.
• Develop and maintain self-service PaaS features that abstract infrastructure complexity, providing reliable and performant access to specialized hardware like GPUs.
• Implement and optimize high-throughput ingress patterns and service mesh (Istio) configurations to support distributed AV data and ML workloads.
• Take ownership of complex cloud initiatives from design through deployment, identifying technical gaps and proactively implementing robust solutions.
• Eliminate "human duct tape" by replacing manual cloud-management tasks with declarative state-enforcement (Terraform/GitOps) and custom automation.
• Define and monitor SLIs/SLOs for cloud services, ensuring the platform meets the availability targets required for Super Cruise validation.
• Proactively share technical lessons learned and participate in rigorous code and architecture reviews to support a healthy, high-trust engineering culture.

Senior Cloud Engineer – AV Cloud Engineering

Full-stack Engineer

• Deliver scoped features end-to-end (requirements, implementation, testing, deployment, and observability) with guidance from senior engineers and architects.
• Write high-quality, maintainable code; participate in code reviews; and follow secure development and clean code practices.
• Build and integrate 3D modules (e.g., rendering, simulation, physics, spatial indexing) with platform services via well-designed APIs and data contracts.
• Work across the stack using tools like modern front-end frameworks (e.g., React or similar), TypeScript/JavaScript, and services-oriented backends (e.g., Node.js, Python, Java, or C#).
• Build and iterate on web-based playback and visualization tools that rely on WebRTC, WebSockets, and streaming media pipelines to deliver simulation replays.
• Work with databases and storage systems to organize simulation outputs, logs, and artifacts for fast retrieval and inspection.
• Integrate with cloud services, data streams, and enterprise systems (telemetry/IoT, PLM/CAD, MES, analytics) to keep twins up-to-date and interactive.
• Contribute to engineering best practices: CI/CD, automated testing, performance profiling, documentation, and reliability/observability metrics.

Digital Twin Full-Stack Software Engineer

3D Artist

• Define how motion brings GM’s web and mobile emerging digital experiences to life.
• Leverage motion as a concepting medium to create new experiences.
• Push the boundaries of the end-to-end motion language across web and mobile apps.
• Contribute to designing motion systems that are expressive, performant, and accessible, and that scale across platforms and teams.
• Act as a craft leader, setting standards for motion excellence, and influencing product direction.

Staff Motion Designer – Web & Mobile Apps

Product Manager

• Incorporate data, research, and market analysis to inform product strategies and roadmaps
• Establish and prioritize product requirements to solve key business and customer problems
• Drive product development across software, systems, safety, quality, and vehicle programs to deliver high-quality hands free driving experiences at scale
• Define, track, and analyze Super Cruise performance, engagement, and quality metrics to drive continuous improvement and inform roadmap decisions
• Serve as a subject matter expert for your product portfolio, providing guidance to internal teams and partners
• Communicate product status and updates to senior leadership and stakeholders
• Monitor emerging trends to inform and drive execution of the product roadmap
• Help foster a data-driven culture and establish metrics to measure the effectiveness of Super Cruise initiatives

Senior Product Manager – Super Cruise

Support Engineer

• Perform signal integrity (SI) simulations using tools such as HyperLynx, HFSS, or CST.
• Identify and resolve issues related to crosstalk, signal loss, reflections, and other performance degradations in high-speed designs.
• Analyze PCB layout designs to ensure optimal signal performance, providing feedback and recommendations to layout and hardware design teams.
• Collaborate with hardware engineers to optimize high-speed signal paths, ensuring adherence to specifications for interfaces like DDR5, PCIe, USB4, SerDes, and Ethernet.
• Evaluate and validate signal integrity for power delivery networks (PDN) to minimize noise, ground bounce, and power/ground integrity issues.
• Work closely with PCB layout, hardware, and mechanical teams to ensure design choices align with signal integrity best practices.
• Develop and implement test strategies for verifying signal integrity on prototypes and final products using tools like oscilloscopes, vector network analyzers (VNA), and time domain reflectometry (TDR).
• Create and maintain signal integrity design guidelines, best practices, and checklists to support hardware engineers throughout the product development lifecycle.
• Diagnose and resolve SI issues during the bring-up phase of new products, ensuring minimal impact on time-to-market.

Audio Visual Support Technician

Content Marketing Manager

• Manage and mentor a team of content designers working across all mobile and web applications.
• Identify opportunities to build scalable content systems including reusable patterns and content models
• Collaborate with designers, engineers, product managers, legal, localization, and AI/ML teams
• Act as a subject matter expert and point of contact for content design related work in mobile and web.
• Stay informed on trends in AI, localization, and inclusive language
• Design great experiences through clear, consistent, and inclusive language

Content Design Manager – Human Interface Design

Hardware Engineer

• Own the end-to-end hardware electrical test strategy for network technologies, from requirements analysis through coverage closure and sign-off.
• Define and maintain test cases and test procedures for wired connectivity (e.g., automotive Ethernet), ensuring traceability to system, hardware, and safety requirements.
• Establish and own requirements linking between system / hardware requirements and verification artifacts (test cases, test results, analyses), including coverage metrics and reporting.
• Drive test environment capability enhancements: Define and evolve bench setups, fixtures, test boards, and harnesses to support new network features and operating corners.
• Identify gaps in lab capabilities (e.g., bandwidth, jitter, protocol decoding, automation) and lead upgrades in collaboration with lab and capital planning.
• Standardize test environments and best practices across programs and suppliers.
• Lead bench test execution throughout the development lifecycle, including bring-up, characterization, margining, regression, and release testing.
• Perform detailed hardware analysis in support of testing, including worst-case analysis, signal integrity (SI), and power integrity (PI), to define appropriate test coverage and limits.
• Troubleshoot test failures and anomalous behavior, perform root cause analysis, and drive corrective actions with ECU and semiconductor design teams.
• Develop and maintain test specifications and verification plans that clearly define scope, pass/fail criteria, and acceptance limits for each test item.
• Collaborate with cross-functional teams in software, mechanical, systems, safety, and manufacturing to ensure that test coverage aligns to program needs and that test findings are rapidly integrated into designs.
• Interface with semiconductor partners and Tier 1s to align on device- and ECU-level test requirements, share lab results, and ensure issues are resolved in silicon and hardware revisions.
• Provide clear, data-driven test reports and technical summaries to leadership and program teams, including risk assessments and release recommendations.
• Support and lead design and test reviews, presenting coverage status, key test results, and open issues.
• Establish and continuously improve domain expertise in network semiconductor and ECU product lines within scope of responsibility, especially in the context of electrical validation and compliance testing.
• Contribute to and help manage technology and test methodology roadmaps in close collaboration with industry leaders, aligning lab capabilities and test strategies with future architectures.

Senior Hardware Engineer – Network Technology and Design

Data Engineer

• Serve as primary point of contact for data domain and engineering inquiries, acting as a central knowledge hub and ensuring easy access to information.
• Provide first-level support and triage for all data-related issues including Databricks onboarding and configuration changes.
• Assist customers with data domain and engineering-related inquiries and process optimizations across GM’s data landscape.
• Guide teams on best practices, platform capabilities, and strategic recommendations across the Data ecosystem.
• Work proactively to reduce escalations and response times, improving overall customer experience.
• Maintain and continuously improve documentation, runbooks, FAQs, processes, and tools related to the Data ecosystem.
• Identify gaps in knowledge and process and codify artifacts that reduce repeat inquiries and improve self-service capabilities.
• Analyze customer inquiries and feedback to identify trends, pain points, and opportunities to improve both customer experience and platform adoption.
• Partner with platform and engineering teams to improve processes, technology stack, and documentation in order to reduce inbound inquiries and overall support demand.
• Collaborate with platform owners, governance, security, and engineering teams to ensure aligned guidance and consistent messaging across the Data ecosystem.
• Support measurement of customer satisfaction, inquiry response times, and demand trends, and use these insights to drive continuous improvement in services and processes.
• Contribute to a culture of excellence and responsiveness through continuous improvement, collaboration, and knowledge sharing.
• Partner closely with cross-functional teams to translate technical and business requirements into robust, efficient solutions.
• Participate in code reviews, promote best practices, and mentor engineers to raise engineering quality across the team.
• Optimize storage and compute resources for performance and cost efficiency.

Data Engineering Enablement Consultant

Engineer

• Lead new program implementation, including controls/robotics design, equipment builds, run-off, and plant installation.
• Design, integrate, and optimize PLC, HMI, and SCADA systems for automated equipment.
• Procure and launch capital projects from concept through commissioning, ensuring delivery to cost, quality, and timing targets.
• Troubleshoot and resolve control system issues to minimize downtime and support ongoing production.
• Collaborate with manufacturing, maintenance, and engineering teams to deliver continuous improvements in quality, safety, and efficiency.
• Stay current on emerging automation technologies, including AI, robotics, vision systems, and industrial networks, and apply them to enhance manufacturing processes.
• Ensure compliance with safety and regulatory standards (OSHA, NFPA 79, IEC, UL).

Controls Engineer – Execution

• Build and evolve governance models—including workflows, decision frameworks, review practices, and change‑management processes—that scale content quality across teams.
• Evaluate, pilot, and operationalize AI‑enabled content tools like linting engines, terminology platforms, writing assistants, and evaluation tools to improve consistency and efficiency.
• Establish criteria and assessment methods for tool selection, ensuring solutions align with HID workflows, design systems, and content quality goals.
• Create clear, authoritative documentation—standards, playbooks, patterns, system guides, and reference materials—to support large-scale adoption.
• Collaborate with the design system team to embed language foundations into components, patterns, and UI guidance.
• Write and refine content directly in Figma to validate standards against real flows, wires, and UI constructs.
• Partner with mobile, web, and vehicle content designers to ensure terminology and patterns remain aligned across connected journeys.
• Lead working sessions, audits, and reviews to enforce governance practices and ensure consistency across teams and platforms.
• Lead the HID studio in systems thinking, tool adoption, and decision-making related to language quality and governance.
• Advocate for clarity, consistency, and system integrity across product and design partners.

Senior Content Designer, Language Systems, Human Interface Design

Solutions Engineer

• Serve as the primary technical point of contact for selected strategic technology partners across 2P and 3P partnerships.
• Collaborate with business, product, operations, and engineering teams to develop and execute the product roadmap for partner-enabled experiences.
• Assess partner requirements, roadmaps, and technical capabilities to inform business and operational decisions (e.g., scope, sequencing, SLAs, risk).
• Represent GM’s architectural principles, constraints, and standards in partner technical forums, workshops, and design reviews.
• Work closely and proactively with technology partners and internal teams to deliver results and continuously improve processes for launching new products and services.
• Lead end-to-end solution design for partner-integrated capabilities across vehicle, mobile, cloud, and enterprise systems.
• Provide technical expertise to inform integration solutions for complex problems with partners and internal stakeholders, balancing customer experience, technical feasibility, and long-term maintainability.
• Define reference architectures, integration patterns, and data flows (APIs, events, identity/consent, telemetry) that can be reused across teams and partner engagements.
• Ensure solutions meet GM’s requirements for security, privacy, safety, reliability, performance, and compliance.
• Act as the bridge between business development and engineering, turning partner concepts and agreements into actionable technical designs and roadmaps.

Strategic Technology Partner Solution Architect – Entertainment

Artificial Intelligence

• Develop and refine technical models for capacity planning for GM’s AV infrastructure
• Design and build automated analytical tools for monitoring capacity and demand signals
• Partner with AI/ML engineering, infrastructure engineering, and cloud vendors to proactively identify and drive optimization projects to increase engineering and cost efficiencies

Senior AI/ML Capacity Engineer

Business Development Rep

• Lead customer focused business development and opportunity identification for GM Defense across tactical and operational energy solutions and related opportunities.
• Grow Defense and Federal Government energy solutions portfolio, including energy storage systems, mobile energy management and distribution, microgrid technologies, commercial batteries and energy resilience capabilities.
• Identify and qualify new business, shape acquisition approaches with government customers and drive customer focused capture management activities.
• Maintain a current understanding of customer missions, capability gaps, budgets and acquisition plans.
• Develop and sustain strong relationships with in the War Department and other U.S. Government customers, Prime Defense contractors, strategic partners and industry influencers.
• Coordinate and lead meetings with customers and teammates to develop requirements, acquisition strategies, timing and budgets.
• Partner with the Director, Commercial, Energy and Manufacturing Solutions to refine and execute the Energy Solutions growth strategy.
• Work cross functionally with GM Defense and GM enterprise teams to ensure internal alignment, product allocation and manufacture of solutions for Defense customers.
• Develop and maintain Capture Plans and lead capture activities including pursuit decisions, bid/no bid gates and formal reviews.
• Collaborate with proposal, pricing, contracts, legal and technical teams to deliver compliant, competitive and customer aligned offers.
• Support development and achievement of GM Defense Annual Operating Plan and Long Term Plan objectives for Defense & Federal Government Energy Solutions and related portfolios and share best practices across the company.

Defense Business Development Manager, Energy Solutions

Robotics

• Join the team powering GM’s AI Robotics transformation!
• Bridge the gap between cutting-edge AI technology and real-world business needs.
• Collaborate with internal business and engineering partners to prototype and deploy AI systems.
• Lead high-impact AI engineering projects across multiple domains within manufacturing and robotics.
• Mentor engineers and ensure that GM’s AI robotics solutions are robust, adaptable, and aligned with enterprise goals.