Senior Technical Fellow - Edge Optimization Architecture
Listed on 2026-06-30
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IT/Tech
Systems Engineer
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, and enabling scalable software‑defined vehicle platforms
Lead system-level optimization strategies across CPU, memory, network bandwidth, and latency, function placement (edge vs HPC), and define/enforce function allocation rules and trade‑offs such as safety‑critical vs centralized execution, latency‑sensitive vs cloud/offload capable workloads.
Drive resource budgeting and KPI-based architecture validation.
3 - Innovation & Technology LeadershipLead innovation in zero‑edge/reduced ECU architectures, Ethernet‑based vehicle networking, SOA and middleware, AI‑driven system optimization and resource prediction.
Evaluate and guide the 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, embedded software architecture (AUTOSAR Classic/Adaptive, POSIX, RTOS), high‑speed automotive networking (CAN, LIN, Ethernet), distributed vs centralized compute models, and lead technical decisions on zonal controller design, sensor/actuator integration models, data flow and service communication patterns.
5 - Cross‑Domain Integration & CollaborationCollaborate across domains (ADAS, Body, Infotainment, Connectivity, Powertrain). Drive consistent architecture across hardware, system, and software organizations. Ensure alignment between functional architecture, network architecture, and software platform strategy.
6 - Performance Optimization & Continuous MonitoringDefine and govern architecture KPIs: CPU load, memory footprint, network utilization, latency, determinism, scalability metrics.
Drive continuous monitoring and predictive optimization frameworks. Lead root‑cause analysis and resolution of system bottlenecks.
7 - Mentorship & Technical LeadershipMentor senior architects and engineering leaders across domains; build organizational capability in edge optimization principles, software‑defined architecture, fostering culture of engineering excellence, data‑driven decision making, and continuous improvement.
8 - Governance & Operational SupportActively support program execution: critical issue resolution, technical trade‑offs and arbitration. Conduct milestone and architecture readiness reviews. Define and enforce architectural guidelines, design rules, and best practices.
9 - Documentation & StandardsEstablish and maintain reference architectures for edge optimization, design guidelines for zonal and centralized architectures, standardized interfaces and abstraction layers, and ensure traceability through system software deployment architecture.
10 - Stakeholder Engagement & Executive InfluenceEngage 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.
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