DevOps Engineer - Compiler Infrastructure

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We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.

Together, we advance your career.

We are seeking a highly technical Senior Dev Ops Engineer to join our Compiler Engineering team. In this role, you will be responsible for leveraging innovative automation and visualization tools to facilitate the building, testing, and optimization of complex language tool chains based on LLVM.

• CI/CD Pipeline Engineering
  :
  Design and maintain high-performance pipelines (e.g., Jenkins, Git Hub Actions, or Buildbot) tailored for the iterative nature of compiler development. Focus on enhancing reliability and efficiency by automating routine tasks and integrating robust testing mechanisms.
• Validation & Benchmarking
  :
  Develop automated systems to track and visualize performance metrics such as execution speed, binary size, and memory usage, ensuring these metrics are well-documented and accessible. Use this data to prevent performance regressions.
• Infrastructure Deployment
  :
  Work with alternative tools like Docker, Kubernetes, or native cloud solutions to provision and manage scalable build farms across hybrid-cloud and on-premise environments. Focus on seamless integration and automation rather than specific IaC frameworks.
• Cross-Architecture Testing
  :
  Manage "bare metal" and virtualized testing environments for diverse Instruction Set Architectures (ISAs), ensuring compiler correctness and interoperability across various hardware targets.
• Build Optimization
  :
  Collaborate closely with compiler developers to optimize build systems (e.g., CMake, Ninja) to minimize the "developer-to-feedback" loop times, leveraging your expertise in automation and parallelization.

• Systems Mastery
  :
  Deep knowledge of Linux/Unix internals and shell scripting (Bash), with an emphasis on performance tuning and resource management.
• Scripting & Programming
  :
  Proficiency in Python for automation coupled with a reading knowledge of C/C++ to troubleshoot build failures and optimize scripts.
• CI/CD Expertise
  :
  Extensive experience with complex pipeline automation and Docker containerization, with a focus on efficiency, repeatability, and security.
• Problem-Solving
  :
  Proven ability to diagnose and resolve low-level system issues, linker errors, and environment-specific discrepancies.
• Open-Source Contribution
  :
  Experience contributing to or managing builds for open-source projects, especially those related to compiler technology like LLVM, is highly desirable.

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.

We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.