AI-Driven HPC Systems Design Engineer

AMD; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

AMD is seeking a hands-on full-stack developer to create tools for large-scale AI/ML clustered infrastructure. You will deploy, maintain, and improve applications, collaborating with multi-disciplinary engineers across AI stacks and cluster design.

You will contribute to frontend and backend services using modern JS/TS, Linux, containers, and cloud or on-premises infrastructure, while embracing Agile practices and code reviews.

Qualifications

• Proven professional software development experience, including web applications.
• Frontend development with JavaScript/TypeScript and frameworks like React/Angular/Vue.
• Experience deploying and operating apps using Linux, containers, CI/CD, and cloud or on-prem infrastructure.
• Knowledge of web application security, authentication, authorization, and secret handling.

Responsibilities

• Understand requirements with stakeholders to translate them into flexible, future-proof design solutions.
• Hands-on development and maintenance of tools and apps for large-scale AI cluster design and deployment.
• Design cohesive interface code between third-party tools.
• Own features from requirements to deployment and maintenance.
• Work iteratively in Agile environments with frequent stakeholder collaboration.

Skills

AI coding assistants

Web application development

Frontend development

Backend services & APIs

Linux, containers, CI/CD

Testing & version control

Web security

Education

Bachelor's or Master's degree in CS/Software/Engineering

Tools

Kubernetes

Apptainer/Singularity

Slurm

Python

Terraform

Ansible

Bash

Job description

AMD is seeking a hands-on full-stack developer to create tools for large-scale AI/ML clustered infrastructure. You will deploy, maintain, and improve applications, collaborating with multi-disciplinary engineers across AI stacks and cluster design.

You will contribute to frontend and backend services using modern JS/TS, Linux, containers, and cloud or on-premises infrastructure, while embracing Agile practices and code reviews.