Principal Engineer, Systems (R5048)

Shield AI's Hivemind Platform organisation is seeking a Principal Systems Engineer to lead and scale systems engineering excellence across our software-intensive, autonomy-driven platform.

This role sits within the Systems Engineering, Integration, and Test (SEIT) organisation and is responsible for advancing systems engineering discipline, rigor, and cross-functional alignment across the full lifecycle, from requirements definition through architecture, verification, and assurance.

Key responsibilities include:

• Systems Engineering Discipline Leadership: Drive the adoption and enforcement of systems engineering best practices across the organisation, serving as a technical authority and trusted partner to engineering leadership.

• Requirements Management & Traceability: Lead the development of structured, testable, and fully traceable system requirements, ensuring end-to-end linkage across architecture, verification, and implementation.

• Architecture Definition: Define and maintain system architectures using MBSE methodologies and tools (e.g., Cameo), promoting model-centric engineering for system understanding and decision-making.

• Verification & Validation Planning: Establish comprehensive, executable verification strategies aligned with system requirements and operational use cases, supporting integration and test efforts.

• System Assurance Integration: Integrate system safety and security assurance considerations into requirements, architecture, and verification to support mission assurance and compliance objectives.

• Cross-Functional Collaboration: Partner with software architects, product teams, test engineers, and engineering leadership to align system-level decisions/execution across the organisation and bridge between SEIT and the broader engineering organisation.

Key outcomes include:

• End-to-End Requirements Traceability Established: System requirements are consistently structured, testable, and fully traceable across architecture, implementation, and verification artifacts.

• MBSE Adoption at Scale: Model-based systems engineering is broadly adopted, with system architecture and interfaces defined and maintained in a shared, authoritative model.

• System Assurance Integrated Early: System safety and assurance considerations are embedded in requirements and architecture upfront, reducing late-stage risk and rework.

• Cross-Functional System Alignment Achieved: Software, product, and Integration & Test teams operate with a clear, shared understanding of system architecture, interfaces, and constraints.

• Systems Engineering Rigor and Process Maturity Improved: Standardised processes, tools, and artifacts are in place and consistently used across teams, improving quality, predictability, and scalability.