AI solutions systems Engineer
Role details
Job location
Tech stack
Job description
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., * 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, AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
Requirements
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., * 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 Google Cloud Platform) 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.), * Bachelor or master's degree in Electrical/Computer Engineering, Mathematics, Computer Science or an equivalent preferred