Principal Embedded Software & Developer Tools Lead

Principal Embedded Software & Developer Tools Lead

ADI - Analog Devices

Cork, Dublin or Limerick, Ireland

About the Role

CodeFusion Studio (CFS) is Analog Devices’ strategic, VS Code–based embedded software development platform, providing a unified and extensible environment for building, debugging, profiling, and optimizing software across ADI’s heterogeneous SoCs and AI-enabled edge deployments.

We are seeking a Software Engineering Lead & Architect to provide execution, technical and organizational leadership for CodeFusion Studio (CFS) and its ecosystem of VS Code based plugins, extensions, services and related applications.

The successful candidate will lead and grow architectural capability across teams, set technical direction and drive delivery across the CFS platform. Working in close partnership with the Product Owner, Product Manager, UX Lead Designer and SW Team Leads, you will help shape a cohesive product experience that balances user needs, technical excellence, and long-term platform sustainability.

In this role you will also be acting as an execution partner, driving day-to-day technical decision-making, unblocking teams through hands-on leadership and representing the CFS team in large cross-functional programs.

What makes this role unique? This is a player-coach role: 30% hands-on technical, 30% architecture, 30% delivery coordination, 10% process.

Key Responsibilities

Architectural Leadership

  • Contribute to the definition, ownership and evolution of the overall architecture for CodeFusion Studio and its constituent VS Code extensions, plugins, backend services and integrations.
  • Ensure/support architectural consistency, modularity, and extensibility across the CFS ecosystem.
  • Drive adoption of best practices for a fast pace modern software development product environment.

Execution, Delivery & Program Leadership

  • Drive technical execution alignment across teams, including sprint-level coordination where architectural or platform dependencies exist.
  • Take temporary or sustained ownership of critical platform components or tools (e.g. core extensions, build infrastructure, shared services) when required to stabilize delivery or accelerate progress.
  • Support program-level execution, representing CFS architecture and execution status in large cross-functional initiatives.
  • Translate program and product requirements into clear technical direction and sequencing for engineering teams.

Cross‑Functional Product Leadership

  • Partner with Product Management and UX to ensure execution ready requirements.
  • Influence feature prioritization and sequencing through architectural insight and product requirements.
  • Serve as a trusted advisor to leadership on technology and platform strategy.

VS Code based Development, Debug, and AI Platform Leadership

  • Provide architectural and execution leadership for CodeFusion Studio as a VS Code based embedded development platform.
  • Partner closely with Product Management and UX leadership to align platform architecture with product strategy and user experience goals.

Key Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience.
  • 12+ years of experience in software engineering, with substantial experience in architecture and technical leadership roles.
  • Proven track record of leading architects or senior engineers in complex, multi‑team environments.
  • Experience defining and governing architecture for large‑scale, modular platforms.
  • Strong understanding of:
    • VS Code or similar extensible developer tooling ecosystems.
    • TypeScript/JavaScript architectures.
    • Client‑server and service‑oriented architectures.
  • Experience with embedded software development tools or workflows.

Bonus Skills (Preferred/Nice to Have)

  • Experience with Zephyr RTOS and open-source RTOS ecosystems.
  • Experience contributing to and working with open-source ecosystems.
  • Understanding of heterogeneous architectures (ARM, RISC-V, DSPs, custom SoCs).
  • Experience integrating AI/ML for embedded optimization or tooling automation.
  • Prior ownership of platforms consumed by external developers or partners.

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