AI Fleet Management Solutions

Amd

Hybrid

Quick summary

Work type: Hybrid
Location: Austin, TXMarkham, Ontario, Canada
Posted: 110 days ago
Closes: Mar 9, 2027
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $208k

$162k most similar roles pay here $250k

This listing doesn't post a salary. Most similar roles pay $177,779–$238,850.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 56 open roles on FindRole.

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At a glance

TL;DR · AI Fleet Management Solutions

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AMD seeks a senior AI solutions systems engineer to join its innovative core team, focusing on developing and scaling advanced AI fleet management solutions across global regions. This role involves collaborating with architecture specialists and hybrid cloud/edge developers to optimize performance and reliability through industry best practices, enhancing developer productivity with AI tools, and influencing the long-term architectural evolution of cutting-edge compute solutions. The ideal candidate has extensive experience in distributed systems, proficiency in Python and JavaScript frameworks like Angular or React, and expertise in containerized systems such as Docker and Kubernetes, alongside public cloud platforms and SQL databases. Strong Linux administration skills and familiarity with fleet management and IT infrastructure are essential, along with a background in leading complex architectural initiatives across teams.

Skills

Python JavaScript Angular React Docker Kubernetes AWS Azure GCP SQL Linux Terraform Ansible CI/CD Slurm Prometheus Grafana Git Swagger/Cursor/Claude

What you'll do

Develop and scale AI fleet management solutions across multiple global regions.
Optimize performance and reliability of AI systems using industry best practices.
Enhance developer productivity and solution capabilities through AI integration.
Influence the long-term architectural evolution of advanced AI compute solutions.
Lead complex architectural initiatives involving distributed systems and large-scale infrastructure.

What we're looking for

Extensive experience building and operating distributed systems or large-scale infrastructure platforms.
Strong proficiency in Python and JavaScript-based stacks (e.g., Angular, React).
Experience designing and managing containerized systems and compute clusters.
Proven experience with public cloud platforms and hybrid/edge infrastructure.
Deep understanding of Linux systems, administration, and scripting.
Demonstrated leadership in complex architectural initiatives across teams.

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