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As a Senior Technical Fellow for Edge Optimization Architecture, you will define and drive the transformation from traditional distributed ECU architectures to a software-defined, centralized compute model with optimized edge nodes (Zero-Edge / Zonal Architecture). You will shape the end-to-end architectural strategy for edge systems, ensuring optimal balance between centralized HPC compute and distributed edge functions, maximizing performance, scalability, cost efficiency, and reuse across vehicle programs. This role requires deep expertise in E/E architecture, embedded software, networking, and system optimization, combined with strong leadership to influence enterprise-wide transformation and guide engineering teams through next-generation architecture adoption. Key Responsibilities 1 - Architectural Leadership (Edge Optimization Strategy)
- Define and drive the Edge Optimization Architecture vision, including:
- Zonal architecture (I/O aggregators, domain/zonal ECUs)
- Centralized compute (HPC / Brain platforms)
- Function allocation across edge and central layers
- Establish architectural principles for:
- Minimizing edge complexity
- Maximizing software centralization and reuse
- Enabling scalable software-defined vehicle platforms
2- System Optimization & Functional Allocation
- Lead system-level optimization strategies across:
- CPU, memory, network bandwidth, and latency
- Function placement (edge vs HPC)
- Define and enforce function allocation rules and trade-offs:
- Safety-critical vs centralized execution
- Latency-sensitive vs cloud/offload capable workloads
- Drive resource budgeting and KPI-based architecture validation
3- Innovation & Technology Leadership
- Zero-Edge / reduced ECU architectures
- Ethernet-based vehicle networking
- Service-Oriented Architectures (SOA) and middleware
- AI-driven system optimization and resource prediction
- Evaluate and guide adoption of emerging technologies:
- HPC platforms, virtualization, containerization
- Edge abstraction layers and adaptive middleware
4- Technical Expertise (End-to-End E/E + SW Stack)
- Provide deep expertise in:
- E/E system architecture (vehicle-level)
- Embedded software architecture (AUTOSAR Classic/Adaptive, POSIX, RTOS)
- High-speed automotive networking (CAN, LIN, Ethernet)
- Distributed vs centralized compute models
- Lead technical decisions on:
- Sensor/actuator integration models
- Data flow and service communication patterns
4- Cross-Domain Integration & Collaboration
- Collaborate across domains:
- ADAS, Body, Infotainment, Connectivity, Powertrain
- Drive consistent architecture across:
- Hardware, system, and software organizations
- Ensure alignment between:
- Software platform strategy
5- Performance Optimization & Continuous Monitoring
- Define and govern architecture KPIs:
- CPU load, memory footprint, network utilization
- Latency, determinism, and scalability metrics
- Drive continuous monitoring and predictive optimization frameworks
- Lead root cause analysis and resolution of system bottlenecks
6- Mentorship & Technical Leadership
- Mentor senior architects and engineering leaders across domains
- Build organizational capability in:
- Edge optimization principles
- Software-defined architecture
- Data-driven decision making
7- Governance & Operational Support
- Actively support program execution:
- Critical issue resolution
- Technical trade-offs and arbitration
- Milestone and architecture readiness reviews
- Design rules and best practices
8- Documentation & Standards
- Reference architectures for edge optimization
- Design guidelines for zonal and centralized architectures
- Standardized interfaces and abstraction layers
- System Software Deployment architecture
9- Stakeholder Engagement & Executive Influence
- Engage executive leadership on:
- Trade-offs and investment decisions
- Provide clear, data-driven insights on:
- Cost vs performance vs complexity trade-offs
- Influence enterprise-wide transformation initiatives
10 - External Representation
- Represent the organization in:
- Industry consortiums (SDV, AUTOSAR, Ethernet standards)
- Technology forums and conferences
11- Knowledge Sharing & Capability Building
- Identify training needs and lead:
- Architecture upskilling programs
- Cross-domain knowledge sharing initiatives
- Promote reuse of best practices across global teams
Qualifications
- Education
- Master's degree in Computer Science, Electrical Engineering, or related field
- PhD preferred (Systems Architecture, Distributed Systems, or Automotive E/E)
2- Experience
- 15+ years in automotive software and system development
- System-level design and optimization
- SDV transformation, HPC-based architectures, or zonal architectures
3- Technical Skills
- Automotive software standards (AUTOSAR Classic & Adaptive)
- Embedded systems (C/C++, RTOS, POSIX systems)
- Vehicle networks (CAN, LIN, Ethernet, TSN)
- Distributed and centralized compute architectures
- Middleware and service-oriented communication
- Memory management, multi-core systems, and real-time constraints
- Virtualization and abstraction layers
- Functional safety (ISO 26262) and system robustness
4- Leadership
- Lead enterprise-level architecture transformations
- Influence senior leadership and cross-functional teams
- Strong communication and executive presentation skills
5- Problem-Solving
- Solve complex cross-domain system challenges
- Navigate trade-offs under constraints (cost, safety, performance)
6- Innovation
- Driving architectural innovation
- Influencing industry direction in SDV / E/E evolution
As a Senior Technical Fellow for Edge Optimization Architecture, you will define and drive the transformation from traditional distributed ECU architectures to a software-defined, centralized compute model with optimized edge nodes (Zero-Edge / Zonal Architecture). You will shape the end-to-end architectural strategy for edge systems, ensuring optimal balance between centralized HPC compute and distributed edge functions, maximizing performance, scalability, cost efficiency, and reuse across vehicle programs. This role requires deep expertise in E/E architecture, embedded software, networking, and system optimization, combined with strong leadership to influence enterprise-wide transformation and guide engineering teams through next-generation architecture adoption. Key Responsibilities 1 - Architectural Leadership (Edge Optimization Strategy)
- Define and drive the Edge Optimization Architecture vision, including:
- Zonal architecture (I/O aggregators, domain/zonal ECUs)
- Centralized compute (HPC / Brain platforms)
- Function allocation across edge and central layers
- Establish architectural principles for:
- Minimizing edge complexity
- Maximizing software centralization and reuse
- Enabling scalable software-defined vehicle platforms
2- System Optimization & Functional Allocation
- Lead system-level optimization strategies across:
- CPU, memory, network bandwidth, and latency
- Function placement (edge vs HPC)
- Define and enforce function allocation rules and trade-offs:
- Safety-critical vs centralized execution
- Latency-sensitive vs cloud/offload capable workloads
- Drive resource budgeting and KPI-based architecture validation
3- Innovation & Technology Leadership
- Zero-Edge / reduced ECU architectures
- Ethernet-based vehicle networking
- Service-Oriented Architectures (SOA) and middleware
- AI-driven system optimization and resource prediction
- Evaluate and guide adoption of emerging technologies:
- HPC platforms, virtualization, containerization
- Edge abstraction layers and adaptive middleware
4- Technical Expertise (End-to-End E/E + SW Stack)
- Provide deep expertise in:
- E/E system architecture (vehicle-level)
- Embedded software architecture (AUTOSAR Classic/Adaptive, POSIX, RTOS)
- High-speed automotive networking (CAN, LIN, Ethernet)
- Distributed vs centralized compute models
- Lead technical decisions on:
- Sensor/actuator integration models
- Data flow and service communication patterns
4- Cross-Domain Integration & Collaboration
- Collaborate across domains:
- ADAS, Body, Infotainment, Connectivity, Powertrain
- Drive consistent architecture across:
- Hardware, system, and software organizations
- Ensure alignment between:
- Software platform strategy
5- Performance Optimization & Continuous Monitoring
- Define and govern architecture KPIs:
- CPU load, memory footprint, network utilization
- Latency, determinism, and scalability metrics
- Drive continuous monitoring and predictive optimization frameworks
- Lead root cause analysis and resolution of system bottlenecks
6- Mentorship & Technical Leadership
- Mentor senior architects and engineering leaders across domains
- Build organizational capability in:
- Edge optimization principles
- Software-defined architecture
- Data-driven decision making
7- Governance & Operational Support
- Actively support program execution:
- Critical issue resolution
- Technical trade-offs and arbitration
- Milestone and architecture readiness reviews
- Design rules and best practices
8- Documentation & Standards
- Reference architectures for edge optimization
- Design guidelines for zonal and centralized architectures
- Standardized interfaces and abstraction layers
- System Software Deployment architecture
9- Stakeholder Engagement & Executive Influence
- Engage executive leadership on:
- Trade-offs and investment decisions
- Provide clear, data-driven insights on:
- Cost vs performance vs complexity trade-offs
- Influence enterprise-wide transformation initiatives
10 - External Representation
- Represent the organization in:
- Industry consortiums (SDV, AUTOSAR, Ethernet standards)
- Technology forums and conferences
11- Knowledge Sharing & Capability Building
- Identify training needs and lead:
- Architecture upskilling programs
- Cross-domain knowledge sharing initiatives
- Promote reuse of best practices across global teams
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
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