System Design Engineer - AI Cluster Software Engineer
About The Position
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. This is a hands-on role for a full-stack developer to create and deliver a range of tools and applications focused on design and deployment of large-scale AI/ML clustered infrastructure. You will be working with the latest agentic tools and patterns to develop, deploy, and maintain these applications. You’ll join a growing team of multi-disciplined engineers that operates across industry verticals as subject matter experts in the AI stack and across the cluster.
Requirements
- Demonstrated use of AI coding assistants and LLM-powered developer tools: daily user of AI agents and tools
- Five or more years of professional software development experience, including substantial experience building and supporting web applications
- Proficiency in modern frontend development using JavaScript or TypeScript and a framework such as React, Angular, or Vue
- Experience developing backend services and APIs using a modern server-side language or framework
- Experience deploying and operating applications using Linux, containers, CI/CD, and cloud or on-premises infrastructure
- Experience with automated testing, source control, code review, debugging, and production support
- Working knowledge of web application security, authentication, authorization, and secure secrets handling
Nice To Haves
- Strong Linux fundamentals: Linux operating systems, networking, filesystems, containers, performance tooling (perf, flamegraphs, nvprof/rocprof, basic eBPF).
- Clear communication: ability to turn complex systems into accessible, structured documentation with diagrams and reproducible steps
- AMD ecosystem experience: ROCm, RCCL, Instinct GPUs, EPYC platforms, compiler/toolchain impacts, and performance tuning
- Orchestration models: Slurm configuration patterns, Kubernetes for HPC/AI (GPU operators, device plugins), Apptainer/Singularity
- Automation, IaC , and scripting tools/languages (Ansible, Terraform, Python, bash)
- Storage/data: knowledge of or familiarity with parallel filesystems (Lustre, BeeGFS), object stores, RDMA, data pipeline throughput and caching strategies
- Hands-on familiarity with on-premises infrastructure, particularly for AI/ML/HPC workloads would be beneficial
Responsibilities
- Partner with engineering peers, domain experts in adjacent teams, and business stakeholders to understand requirements and translate them into flexible, future-proof design solutions
- Hands on development, iteration, and maintenance of tools and applications that codify various aspects of large-scale AI cluster design stages and cluster deployment activities
- Design and development of cohesive interface code between disparate third party tools
- Own features from requirements and design through deployment and ongoing maintenance
- Work in an iterative software environment, including planning and delivering work in small increments, collaborating with stakeholders, often in different areas of domain expertise (Agile development practices)
- Participate in code reviews and retros; adapt to changing requirements and priorities
Benefits
- AMD benefits at a glance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
