Senior Technical Fellow - Edge Optimization Architecture

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

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• 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 Lead innovation in: 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: Zonal controller design 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: Functional architecture Network architecture 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 Foster a culture of: Engineering excellence Data-driven decision making Continuous improvement 7
• Governance & Operational Support Actively support program execution: Critical issue resolution Technical trade-offs and arbitration Milestone and architecture readiness reviews Define and enforce: Architectural guidelines Design rules and best practices 8
• Documentation & Standards Establish and maintain : Reference architectures for edge optimization Design guidelines for zonal and centralized architectures Standardized interfaces and abstraction layers Ensure traceability: System Software Deployment architecture 9
• Stakeholder Engagement & Executive Influence Engage executive leadership on: Architecture strategy 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 10+ years in: E/E architecture Software architecture System-level design and optimization Proven experience in: SDV transformation, HPC-based architectures, or zonal architectures 3
• Technical Skills Expert knowledge of: Automotive software standards (AUTOSAR Classic & Adaptive) Embedded systems (C/C++, RTOS, POSIX systems) Strong expertise in: Vehicle networks (CAN, LIN, Ethernet, TSN) Distributed and centralized compute architectures Middleware and service-oriented communication Strong understanding of: Memory management, multi-core systems, and real-time constraints Virtualization and abstraction layers Functional safety (ISO 26262) and system robustness 4
• Leadership Demonstrated ability to: Lead enterprise-level architecture transformations Influence senior leadership and cross-functional teams Strong communication and executive presentation skills 5
• Problem -Solving Exceptional ability to: Solve complex cross-domain system challenges Navigate trade-offs under constraints (cost, safety, performance) 6
• Innovation Proven track record of: Driving architectural innovation Influencing industry direction in SDV / E/E evolution