Senior Software Automation Engineer

Overview

In this role you will design, build, and maintain the automation platform for large-scale test execution across Linux, Windows, and hardware emulation. You enable validation, design, and tooling teams by delivering CI, execution engine, scheduling, and reporting at scale. You won’t write tests; you’ll build robust infrastructure used daily to qualify next-generation products across AMD’s markets. You’ll collaborate with cross-site teams to improve productivity and reliability, with a meaningful impact on product qualification and quality.

Responsibilities

• Design, build, and maintain CI and regression environments for large-scale test suites across Linux and Windows
• Develop a scalable execution engine to optimize machine and storage resource usage
• Design and maintain databases for assets, releases, and results
• Integrate hardware emulation platforms as execution targets within the automation workflow
• Improve the validation automation ecosystem and infrastructure
• Coordinate with tools teams to converge on common CI/regression methodologies
• Collaborate with Architects and the Design & Verification team to ensure high-quality releases and clear results presentation

Key requirements

• Strong software engineering experience building automation, tooling, or infrastructure
• Proficiency in Python and shell scripting
• Experience developing software across Linux and Windows
• Experience designing/operating regression/CI systems (e.g., Jenkins, GitLab CI) and schedulers (LSF or Slurm)
• Experience designing databases and services to manage assets, releases, and results, and building dashboards
• Experience with QEMU or similar emulation/virtualization platforms
• Comfort operating compute and storage at scale; focus on throughput and reliability
• Working knowledge of Git, build systems, and DevOps/release-engineering practices
• Familiarity with hardware emulation platforms (e.g., Synopsys ZeBu, Cadence Palladium, Siemens Veloce) is a plus
• Strong problem-solving and collaboration skills

• Clear communication across global teams
• Team player with cross-site collaboration
• Analytical mindset and debugging proficiency
• Python
• Shell scripting
• Linux and Windows environments

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