AI and Automation Software Engineer

Job Title

AI and Automation Software Engineer

Role Summary

Lead design, development, deployment, and maintenance of AI-enabled automation tools for post-silicon verification, validation, debug, and engineering workflows within the NBIO team.

Deliver scalable software and automation that measurably improves engineering productivity, reduces repetitive manual work, and accelerates silicon bring-up.

Experience Level

Senior-level (seasoned/lead software engineer). Years of experience not specified.

Responsibilities

Primary responsibilities include converting manual engineering workflows into reliable, automated solutions and embedding AI to improve analysis and triage.

• Identify and prioritize opportunities for AI, scripting, data processing, and workflow automation to improve engineering productivity.
• Design, develop, test, deploy, and maintain AI-enabled automation tools (e.g., log analysis, result summarization, debug triage, reporting).
• Implement and maintain CI/CD pipelines to automate delivery and deployment of software solutions.
• Integrate AI/ML frameworks (e.g., LangChain, LaMDA) into applications to enhance functionality and user experience.
• Collaborate with frontend and backend developers to build interfaces and backend systems that expose automation capabilities.
• Create and maintain technical documentation, code docs, and user guides for automation assets.
• Partner with design, verification, validation, firmware, and platform stakeholders to translate engineering pain points into solutions.
• Define measurable success criteria for automation initiatives (hours saved, faster triage, fewer manual handoffs, improved consistency).
• Ensure AI-generated outputs are reviewable, traceable, technically grounded, and comply with responsible AI and data-handling expectations.

Requirements

Core technical and collaboration requirements (must-have vs nice-to-have are listed).

Must-have:

• Proven experience delivering production-grade automation or AI-enabled tools adopted by engineering teams.
• Proficiency in Python and experience with other programming languages as needed.
• Experience implementing and operating CI/CD pipelines and using version control (e.g., Git).
• Familiarity with AI/ML concepts and integrating ML frameworks into software products.
• Strong communication, documentation, and collaboration skills; experience mentoring or leading engineers.

Nice-to-have:

• Experience in the semiconductor industry and post-silicon validation methodologies.
• Domain knowledge: PCIe, CXL, xGMI, UALink, SoC platform bring-up, firmware debug, or server platform execution.
• Cloud platform experience (AWS, Azure, GCP); containerization and orchestration (Docker, Kubernetes).
• Experience with CI/CD tools (Jenkins, GitHub Actions) and automated testing frameworks (pytest).
• Proficiency in C, C++, JavaScript, and familiarity with frontend (React/Angular) and backend (Node.js, SQL/NoSQL) development.
• Relevant certifications (e.g., AWS Certified Developer, TensorFlow Developer Certificate).

Education Requirements

Bachelor's or Master’s degree in Electrical Engineering, Computer Science, or a related field. Preferred certifications mentioned include AWS Certified Developer and TensorFlow Developer Certificate.

About the Company

Company: Advanced Micro Devices

Headquarters: Sunnyvale, California, USA

Advanced Micro Devices, or AMD, is a global semiconductor company that designs and manufactures microprocessors, graphics processors, and related technologies for a variety of computing devices. Known for pushing the boundaries of innovation, AMD's mission is to deliver high-performance computing solutions for AI, data centers, gaming, and embedded applications. They foster a collaborative, inclusive culture focused on creativity and problem-solving, aiming to drive progress and excellence in technology.