In this role you bridge research, modeling and architecture with delivery, turning early-stage ideas into actionable plans without losing technical intent. You partner with engineers and researchers to structure uncertain work, manage risks, and steer programs from exploration to execution. You communicate status and decisions to stakeholders, escalate where needed, and help shape the roadmap for cutting-edge semiconductor and AI-enabled systems. You will enable cross-functional teams to deliver credible, quality outcomes at pace, aligned with technical objectives.
Responsibilities
Lead early-stage semiconductor research, modelling and architecture projects from exploration to engineering delivery
Partner with architects, modelling engineers, researchers, technical leads and programme teams to understand concepts, constraints and dependencies
Structure uncertain technical work into phases, decision points, risks, mitigations and delivery options
Translate research and architecture intent into credible plans for engineering execution while preserving technical objectives
Constructively challenge plans where uncertainty, architectural maturity, modelling assumptions or resourcing create delivery risk
Coordinate electronics and software engineering teams to resolve schedule, scope, resource or quality issues
Create and manage plans for internal and third-party delivery against technical quality, cost, schedule and contractual commitments
Communicate status, risks and decisions clearly to programme teams and senior stakeholders
Key requirements
Significant experience in technical project management within complex semiconductor, silicon IP, SoC, GPU, AI, system design, modelling or software environments
Ability to engage credibly with architecture, modelling, research and engineering teams
Comfortable managing projects where scope or direction evolves during research and architecture work
Strong facilitation skills for technical decision-making and cross-team alignment
Ability to convert exploratory activity into clear plans, milestones, risks and decision gates
Understanding of engineering development processes and transition from concept to delivery
Experience presenting complex technical project information to senior stakeholders in a clear, decision-oriented way
Creative, analytical and resilient mindset with a bias to practical outcomes in ambiguity
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