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System Design Engineer - AI Cluster Software Engineer
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
bachelor degree, postgraduate degree
Posted 17d ago
Apply by Jul 24
~40 hrs/week
Responsibilities
Develop and maintain full-stack tools and applications for the design and deployment of large-scale AI/ML clustered infrastructure. Collaborate with engineering peers and stakeholders to translate requirements into flexible design solutions and cohesive interface code.
Requirements
Requires five or more years of professional software development experience with proficiency in modern frontend frameworks and backend services. Candidates must have a strong background in Linux, containers, and the use of AI-powered developer tools.
Full job description
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.
THE ROLE:
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.
THE PERSON:
Demonstrated use of AI coding assistants and LLM-powered developer tools: daily user of AI agents and tools
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
KEY 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
PREFERRED EXPERIENCE:
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
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
ACADEMIC CREDENTIALS:
Bachelors or Masters degree in computer science or software/computer engineering
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.
Related keywords
AI ClusterMachine LearningFull-stackReactAngularVueTypeScriptJavaScriptLinuxContainersCI/CDROCmRCCLInstinct GPUsEPYCSlurm
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
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