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 seeking an accomplished DevOps software engineer to power our distributed ML and rendering infrastructure. As a remote team member (Poland), you will play a crucial role in enabling global collaboration for the next generation of AI and rendering workloads, delivering secure, automated, and resilient DevOps solutions that keep our North American data center and European teams in perfect sync.
KEY RESPONSIBILITIES:
Design, implement, and maintain CI/CD pipelines for ML and rendering workflows, enabling seamless model and data deployment.
Automate and monitor the provisioning, scaling, and maintenance of ML servers and render workstations.
Set up secure, high-bandwidth data workflows between North American data center and European endpoints using enterprise NAS.
Streamline data pipelines between multiple data teams and modeling teams
Troubleshoot and resolve infrastructure incidents, drive root-cause analysis, and implement preventive solutions.
Collaborate daily with cross-functional teams in Europe and North America to support remote development/testing and modeling needs.
Integrate security best practices throughout the deployment stack, including secrets management and compliance monitoring.
Lead the development of infrastructure documentation, runbooks, and user guides to streamline onboarding and operational support.
Stay up to date with new DevOps tools, infrastructure improvements, and performance optimization techniques.
requirements-expected :
THE PERSON:
The right candidate combines an automation mindset, deep expertise in on-premises infrastructure, on both customer and high-end server grade hardware. They thrive in distributed teams, communicate with clarity, and have a relentless drive for operational excellence and reliability. Comfortable supporting both high-performance render farms, machine learning infrastructure and NAS-driven data pipelines.
PREFERRED EXPERIENCE:
Strong background in Linux and Windows systems engineering, scripting (Python, Bash), and automation.
Experience with enterprise render farms, large-scale NAS, and machine learning pipelines.
Experience with on-premises infrastructure, complex system and integration with new and existing tooling
Proficiency with infrastructure management and orchestration tools (Ansible, Packer or similar).
Solid understanding of networking concepts, DHCP, DNS, TCP/IP stack
Track record with CI/CD pipelines using GitHub Actions
Experience with Kubernetes and Docker - with focus on machine learning frameworks (flyte, Kubeflow or similar)
Experience working in a remote, globally distributed engineering environment.
Habit of creating notes, documentation, requirements and presenting it to the team or stakeholders
Good communication skills - be able to talk with stakeholders, investigate and make things done
Ability to work independently, figure out missing pieces to get to the final goal
Nice to have prior experience with validation frameworks, especially graphic related
ACADEMIC CREDENTIALS:
Engineering in Computer Science, Computer Engineering, or equivalent.
