Principal Software Architect, AI-Enabled Silicon Development

What you'll do

• Define the end-to-end architecture, technical strategy, and evolution roadmap for complex software platforms used in silicon design.
• Translate business and customer needs into scalable system designs, clear interfaces, and actionable implementation plans.
• Provide technical leadership across the complete product lifecycle from requirements and design to deployment and continuous improvement.
• Apply modern AI technologies like generative AI and LLMs to improve engineering productivity, quality, and time-to-market.
• Establish architectural standards for performance, reliability, security, maintainability, and operational readiness.
• Guide technical trade-offs, architecture reviews, prototyping, and risk management across multiple teams and complex dependencies.
• Assess emerging technologies to create disciplined paths from proof of concept to production-grade solutions.
• Mentor engineers and technical leads to raise software engineering standards and influence stakeholders without direct authority.

What we're looking for

• Proven ability to work directly with users or customers to diagnose complex issues and convert feedback into product improvements.
• Ability to communicate architecture, trade-offs, risks, and recommendations clearly to engineering teams, senior leaders, and non-specialist stakeholders.
• Track record of leading technically across organizational boundaries and delivering results in ambiguous, fast-moving environments.
• Extensive industry experience architecting, building, deploying, and supporting complex software systems or commercial-grade products (preferred).
• Experience with semiconductors, electronic design automation, hardware/software co-design, silicon design, verification, validation, or adjacent engineering domains (preferred).
• Experience developing AI-enabled developer tools, engineering automation, knowledge systems, or enterprise AI platforms (preferred).
• Demonstrated success designing scalable, reliable, secure, and maintainable distributed systems, platforms, services, or developer tools (preferred).
• A bachelor’s or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience (preferred).