Senior System Engineer

We are seeking a highly experienced Senior Systems Engineer to lead the design, integration, and evolution of Systems of Systems (SoS) within a fast-paced vehicle telematics environment. This role demands strategic thinking and technical expertise to architect and orchestrate complex, interconnected systems spanning vehicles, IoT devices, cloud services, and enterprise applications. The ideal candidate will collaborate across engineering disciplines, business stakeholders, and enterprise customers to deliver scalable, secure, and future-ready telematics solutions.

Key Responsibilities:

• Develop architectures for interconnected telematics systems integrating hardware, software, and cloud platforms across multiple domains.
• Ensure seamless interoperability, data exchange, and synchronization between heterogeneous systems.
• Apply SoS principles such as emergence, scalability, interoperability, and evolutionary development to system design.
• Lead end-to-end system lifecycle activities, including requirements analysis, architecture design, integration, verification, and validation.
• Define system-of-systems KPIs for performance, reliability, and security across platforms.
• Serve as a technical authority for system architecture decisions, balancing trade-offs between cost, performance, and time-to-market.
• Design integration frameworks connecting telematics data, enterprise applications, analytics platforms, and external systems.
• Support digital twins and model-based systems engineering (MBSE) methodologies for complex integrations.
• Leverage standards such as ISO 15288 and INCOSE SE Handbook for systems engineering best practices.
• Partner with engineering, cybersecurity, operations, and product management to deliver robust solutions.
• Act as the primary technical interface with enterprise customers, ensuring alignment with their architecture and security requirements.
• Explore AI/ML integration, edge computing, and 5G technologies for advanced telematics capabilities.
• Drive continuous improvement in system reliability, data security, and cost efficiency.
• Create high-level system blueprints, integration roadmaps, and security frameworks.
• Ensure compliance with functional safety (ISO and cybersecurity standards (ISO/SAE where applicable.

Required Skills & Experience:

• Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Computer Science, or related discipline.
• 7+ years of experience in systems engineering for large-scale, interconnected systems (telecommunications, automotive, aerospace, or similar).
• Proficiency in SoS concepts: interoperability, modularity, scalability, resilience, and emergent behavior.
• Expertise in MBSE tools (e.g., SysML, MagicDraw, Cameo Systems Modeler).
• Strong understanding of IoT architectures, cloud platforms (AWS, Azure), and real-time communications protocols.
• Demonstrated ability to lead system integration efforts across multiple engineering and business domains.
• Excellent analytical, leadership, and stakeholder management skills.

Nice to Have:

• INCOSE CSEP/ESEP certification or equivalent systems engineering credential.
• Experience with vehicle telematics protocols (e.g., CAN, MQTT, GPS, LTE, 5G).
• Knowledge of edge-to-cloud architectures, data governance, and cybersecurity frameworks.
• Familiarity with autonomous vehicle systems and connected mobility ecosystems

Key Competencies:

• Systems of Systems (SoS) Architecture: Ability to design and integrate large-scale, interconnected systems with multiple stakeholders and technologies.
• Model-Based Systems Engineering (MBSE): Proficiency with tools like SysML, MagicDraw, Cameo Systems Modeler.
• Systems Integration: Expertise in integrating hardware, software, cloud services, and IoT devices into unified solutions.
• Cloud & Edge Computing: Experience with AWS, Azure, or GCP, including IoT and real-time analytics.
• Communication Protocols: Knowledge of CAN, MQTT, GPS, LTE, 5G, and other telematics-related protocols.
• Complex Systems Thinking: Capability to analyze interactions across multiple subsystems and predict emergent behaviors.
• Risk Assessment & Mitigation: Identifying technical, operational, and security risks in complex ecosystems.
• Data-Driven Decision Making: Applying analytics for performance optimization and system reliability.
• Cross-Functional Leadership: Leading diverse teams across engineering, cybersecurity, product, and operations.
• Stakeholder Management: Engaging enterprise customers, internal teams, and external vendors effectively.
• Technical Mentorship: Coaching junior engineers and fostering a culture of technical excellence.

Working Relationships:

• Internal: D365 Team, Integration Developers, Product Managers, Business Analysts, Solution Architects, DevOps Engineers, Project Managers.
• External: Vendors, Third-party System Providers (as required).