Position Details
About this role
This role involves developing scalable automation and performance analysis solutions for GPU workloads in data centers, focusing on AI and machine learning performance optimization.
Key Responsibilities
- Lead automation development
- Assess and improve infrastructure
- Design performance tooling
- Collaborate with teams
- Optimize ML workload execution
Technical Overview
The technical environment includes Python, Linux, build tools like Make, Bash scripting, and workflow orchestration platforms, supporting AI and GPU performance workloads.
Ideal Candidate
The ideal candidate is a mid-level infrastructure engineer with strong Python development skills, experience in Linux system administration, and expertise in building scalable automation solutions for GPU workloads and performance analysis.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of Python or Linux experience, No experience with workflow orchestration platforms, No GPU or AI workload background
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