AI Fleet Management Solutions

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. 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. THE ROLE: AMD is looking for an AI solutions systems Engineer who is passionate about complex and innovative AI solutions, AI infrastructure, fleet management and automation solutions. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.  THE PERSON: The ideal candidate should be passionate about software engineering, system design, automation and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: Work with AMD’s architecture specialists and hybrid cloud/edge developers to architect, develop and scale AI fleet management solutions spanning multiple global regions Drive performance optimization and reliability based on industry best practices Leverage AI to enhance developer and organizational productivity and solution capabilities Influence roadmap and long-term architectural evolution of cutting-edge AI compute solutions PREFERRED EXPERIENCE: Extensive experience building and operating distributed systems or large-scale infrastructure platforms Strong proficiency in Python and JS based stacks (eg, Angular, React etc) Experience designing and operating containerized systems (Docker, Kubernetes) and managing compute clusters (e.g., Slurm or similar schedulers) Proven experience with public cloud platforms (AWS, Azure, or GCP) and/or hybrid or edge infrastructure Strong knowledge of SQL databases Deep understanding of Linux systems, administration, and scripting General understanding in platform control, fleet management, IT and data center infrastructure Familiar with AI dev tools such as Cursor or Claude Demonstrated experience leading complex architectural initiatives across teams Bonus: Experience building AI-driven or agent-based systems in production environments Contributions to open-source infrastructure projects Experience with authentication and security Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (Terraform, Ansible, etc.) ACADEMIC CREDENTIALS: Bachelor or master's degree in Electrical/Computer Engineering, Mathematics, Computer Science or an equivalent preferred LOCATION: Austin, Texas or Markham, Ontario #LI-G11 #LI-HYBRID 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.

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.

THE ROLE: AMD is looking for an AI solutions systems Engineer who is passionate about complex and innovative AI solutions, AI infrastructure, fleet management and automation solutions. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.  THE PERSON: The ideal candidate should be passionate about software engineering, system design, automation and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: Work with AMD’s architecture specialists and hybrid cloud/edge developers to architect, develop and scale AI fleet management solutions spanning multiple global regions Drive performance optimization and reliability based on industry best practices Leverage AI to enhance developer and organizational productivity and solution capabilities Influence roadmap and long-term architectural evolution of cutting-edge AI compute solutions PREFERRED EXPERIENCE: Extensive experience building and operating distributed systems or large-scale infrastructure platforms Strong proficiency in Python and JS based stacks (eg, Angular, React etc) Experience designing and operating containerized systems (Docker, Kubernetes) and managing compute clusters (e.g., Slurm or similar schedulers) Proven experience with public cloud platforms (AWS, Azure, or GCP) and/or hybrid or edge infrastructure Strong knowledge of SQL databases Deep understanding of Linux systems, administration, and scripting General understanding in platform control, fleet management, IT and data center infrastructure Familiar with AI dev tools such as Cursor or Claude Demonstrated experience leading complex architectural initiatives across teams Bonus: Experience building AI-driven or agent-based systems in production environments Contributions to open-source infrastructure projects Experience with authentication and security Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (Terraform, Ansible, etc.) ACADEMIC CREDENTIALS: Bachelor or master's degree in Electrical/Computer Engineering, Mathematics, Computer Science or an equivalent preferred LOCATION: Austin, Texas or Markham, Ontario #LI-G11 #LI-HYBRID