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
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