Full Stack Developer with Gen AI

TechDigital

  • Dearborn, MI
  • 30+ days ago

    Highlights

    We are seeking a Technical Product Manager (TPM) with strong experience in Automotive systems engineering, Model-Based Systems Engineering (MBSE), and AI / Generative AI to drive next-generation software-defined vehicle (SDV) and digital engineering products. This role bridges vehicle systems, software architecture, MBSE models, and AI-enabled capabilities, owning the end-to-end product lifecycle from concept and roadmap through delivery and OEM adoption.

    Numbers & Facts

    LocationDearborn, MI
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    JD:
    Technical Product Manager – Automotive (MBSE & AI)
    Location: US (Detroit / Dearborn preferred or Hybrid)
    Experience: 10–15 years
    Domain: Automotive | SDV | MBSE | AI / GenAI
    Role Type: Technical Product Management / Product Owner

    Role Summary
    We are seeking a Technical Product Manager (TPM) with strong experience in Automotive systems engineering, Model-Based Systems Engineering (MBSE), and AI / Generative AI to drive next-generation software-defined vehicle (SDV) and digital engineering products.
    This role bridges vehicle systems, software architecture, MBSE models, and AI-enabled capabilities, owning the end-to-end product lifecycle from concept and roadmap through delivery and OEM adoption.

    Key Responsibilities
    Product Strategy & Roadmap

    Own and evolve the product roadmap for MBSE- and AI-enabled automotive platforms and tools across E/E architecture, SDV, ADAS, Connected Vehicle, or EV domains
    Translate OEM and Tier 1 business needs into clear product vision, epics, and features
    Define value propositions for AI-assisted MBSE use cases (e.g., requirements analysis, model generation, V&V automation, digital thread enablement) [TDM Creati...esentation | PowerPoint]

    MBSE & Systems Engineering
    Drive adoption of MBSE practices using SysML / UML / MATLAB-Simulink / Cameo / Rhapsody / 3DX
    Partner with systems engineers to align requirements, functional architectures, logical/physical models, and V&V artifacts
    Ensure traceability across requirements → models → software → validation within PLM/ALM ecosystems [West Monro...ed - Final | PDF]

    AI / GenAI Enablement
    Define and prioritize AI/GenAI features across automotive engineering workflows (MBSE Assist, requirement intelligence, test generation, anomaly detection, copilots)
    Collaborate with AI engineering teams on LLMs, RAG architectures, model governance, and edge/cloud deployment
    Ensure AI solutions comply with automotive safety, security, and data privacy constraints [Cognizant...AI RPA RFP | Word]

    Cross-Functional Leadership
    Act as the single product owner across engineering, data science, UX, DevOps, and validation teams
    Work closely with OEM stakeholders, architects, program managers, and delivery leads
    Drive Agile ceremonies, backlog grooming, PI planning, and release management

    Delivery & Governance
    Define KPIs and success metrics (product adoption, engineering productivity, cycle-time reduction)
    Ensure compliance with ASPICE, ISO 26262, ISO 21434, and OEM-specific SDLC expectations
    Support customer demos, roadmap reviews, and executive product updates [Cognizant...ntation v3 | PowerPoint]


    Required Qualifications
    Core Experience
    10+ years in automotive software, systems engineering, or digital engineering
    3+ years in Product Manager / Product Owner / Technical Program Manager roles
    Hands-on exposure to MBSE frameworks and tooling (SysML, Simulink, Rhapsody, Cameo, 3DX)

    AI & Digital Skills
    Practical experience working with AI/ML or Generative AI solutions in engineering or enterprise workflows
    Familiarity with LLMs, RAG pipelines, data pipelines, and cloud/edge AI architectures
    Ability to translate AI capabilities into real automotive engineering value (not just PoCs) [TDM Creati...esentation | PowerPoint]

    Automotive Domain Knowledge
    Strong understanding of SDV, E/E architectures, ADAS, Connected Car, OTA, or EV systems
    Knowledge of automotive validation, V&V, and safety-critical development
    Experience working with OEMs or Tier 1 suppliers is highly preferred

    Preferred / Nice-to-Have
    Experience with PLM/ALM integration (Teamcenter, 3DX, Jira, Jama)
    Exposure to digital thread / digital twin initiatives
    Prior experience leading customer-facing automotive AI or MBSE transformations
    MBA or Master's degree in Engineering (Systems, Automotive, or Software)

    Top Skills:
    Technical Product Manager
    MBSE (SysML, Simulink, Rhapsody, Cameo, 3DX)
    Practical experience working with AI/ML or Generative AI solutions in engineering or enterprise workflows

    Preferred Skills:
    Automotive Domain , SysML , Magic Draw.

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