Principal Software Architect - AI-Enabled Silicon Development

AMD; Boxborough (MA); On-site; USD 180,000 - 260,000; Full time

Job summary

Advanced Micro Devices, Inc. (AMD) seeks a Principal Software Architect, AI-Enabled Silicon Development to shape the architecture of production-grade software for silicon design and AI deployment.

You will lead technically and work across teams to move software products from concept to deployment and adoption. The role emphasizes leadership, rigorous architecture skills, and practical knowledge of modern AI technologies, applying them to engineering workflows while ensuring security,

Qualifications

• Proven ability to work directly with users or customers
• Communicate architecture to engineers, leaders and non-specialists
• Lead across organizational boundaries to deliver results
• Experience applying AI to engineering workflows

Responsibilities

• Define end-to-end architecture and evolution roadmap for silicon design software
• Translate needs into scalable system designs, interfaces and reusable services
• Provide technical leadership across the full product lifecycle
• Evaluate AI technologies to improve productivity, quality and time-to-market
• Establish standards for performance, security and maintainability

Skills

Software architecture

Technical leadership

Communication

AI technologies

Mentoring

User interaction

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

THE ROLE

AMD is seeking an accomplished Principal Software Architect, AI-Enabled Silicon Development to define and drive the architecture of complex, production-grade software systems that support silicon development and accelerate AI deployment. This role is ideal for a hands-on technical leader with strong industrial experience taking software products from concept through deployment, scaling, adoption, and sustained customer support.

THE PERSON

The ideal candidate should be passionate about software architecture and possess leadership skills to drive sophisticated issues to resolution. The ideal candidate will combine rigorous software architecture skills with practical knowledge of modern AI technologies. They will identify opportunities to apply AI to engineering workflows, improve productivity and efficiency, reduce development cycle time, and strengthen time-to-market while ensuring solutions are secure, reliable, maintainable, measurable, and easy to adopt. They will be able to communicate effectively and work optimally with different teams across AMD.

Proven ability to work directly with users or customers, diagnose complex issues, convert feedback into product improvements, and build trust through responsive technical support

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

WHAT SUCCESS LOOKS LIKE

• A coherent, scalable architecture that enables multiple teams to deliver faster with less duplication and lower operational risk
• AI-enabled capabilities that move beyond prototypes and generate measurable improvements in engineering productivity, efficiency, quality, and time-to-market
• Strong adoption and customer confidence supported by reliable products, intuitive experience, clear documentation, and effective support
• A durable engineering culture built on sound technical judgment, disciplined execution, collaboration, and continuous learning

KEY RESPONSIBILITIES

• Define the end-to-end architecture, technical strategy, and evolution roadmap for complex software platforms and products used in silicon design, verification, validation, and AI-enabled engineering workflows
• Translate business, engineering, and customer needs into scalable system designs, clear interfaces, reusable services, and actionable implementation plans
• Provide technical leadership across the complete product lifecycle, including requirements, design, implementation, integration, validation, deployment, observability, support, and continuous improvement
• Evaluate and apply modern AI technologies-involving generative AI, large language models, intelligent agents, retrieval-augmented systems, and machine-learning platforms-to deliver measurable improvements in productivity, efficiency, quality, and time-to-market
• Establish architectural standards and engineering practices for performance, reliability, security, maintainability, extensibility, and operational readiness
• Partner closely with silicon engineering, software development, infrastructure, data, security, product management, and customer-facing teams to deliver integrated solutions
• Champion exceptional user and customer experiences through intuitive workflows, high-quality documentation, responsive support models, structured feedback mechanisms, and data-driven product improvements
• Guide technical trade-offs, architecture reviews, design reviews, prototyping, and risk management across multiple teams and complex dependencies
• Mentor engineers and technical leads, raise software engineering standards, and influence stakeholders without relying on direct authority
• Assess emerging technologies and external solutions, distinguishing practical value from experimentation and creating disciplined paths from proof of concept to production

PREFERRED EXPERIENCE

• Extensive industry experience architecting, building, deploying, and supporting complex software systems or commercial-grade products
• Experience with semiconductors, electronic design automation, hardware/software co-design, silicon design, verification, validation, or adjacent engineering domains
• Experience developing AI-enabled developer tools, engineering automation, knowledge systems, or enterprise AI platforms
• Demonstrated