Our Client is seeking a Senior Director of Front-End Engineering to lead the design and implementation of our Edge AI MCU portfolio — driving the digital design, integration, and verification of ultra-low-power SoCs purpose-built for machine learning at the edge.
This is a hands-on, strategic leadership role responsible for building and scaling a world-class engineering organization that delivers breakthrough performance-per-microwatt. The ideal candidate combines deep technical acumen with people leadership excellence and has a proven record of bringing advanced SoCs from architecture to production.
Key ResponsibilitiesTechnical Leadership
- Own and drive the front-end design of Ambiq’s Edge AI MCU platforms — including CPU subsystems, neural accelerators, security, memory, and peripheral integration.
- Lead architecture definition, RTL design, and subsystem integration focused on power-optimized AI compute and real-time performance.
- Develop and enforce world-class design methodologies across RTL, verification (UVM), and static checks (lint, CDC, DFT readiness).
- Partner with Architecture and Physical Design teams to ensure seamless PPA optimization and first-silicon success.
- Evaluate and deploy next-generation EDA tools, design automation, and verification infrastructure to accelerate tapeout readiness.
Execution & Delivery
- Drive design execution for multiple MCU programs concurrently, from concept through production tapeout.
- Define and track program milestones, deliverables, and risk management plans with cross-functional stakeholders.
- Establish design review frameworks and sign-off criteria ensuring predictable, high-quality execution.
People & Organization Leadership
- Lead and grow a team of front-end engineers across design, verification, and integration disciplines.
- Build a culture of technical excellence, collaboration, and accountability.
- Mentor senior technical staff and create clear pathways for career growth and technical leadership.
Cross-Functional Collaboration
- Collaborate closely with system architects, analog/mixed-signal, and validation teams to co-optimize hardware and software performance.
- Partner with Product Management to translate application requirements (vision, voice, sensing) into silicon-level specifications.
- Interface with Operations, Test, and Product Engineering to ensure DFT, yield, and manufacturability goals are achieved.
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