AI Cloud Kubernetes Engineer
Job Summary
A company is looking for an AI Cloud Kubernetes Infrastructure Engineer.
Key Responsibilities
- Propose and implement improvements for the Cloud Native AI Platform's availability through automation on distributed GPU clusters
- Drive the development of new SRE automation tooling and enhance observability
- Impact the efficiency of the AV Perception team through the solutions developed
Required Qualifications
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
- At least 2 years of Kubernetes experience on-premises and in AWS
- A minimum of 4 years in building automation software APIs for large-scale computing clusters and data platforms
- Proficiency in at least one programming language such as Go or Python
- Deep knowledge of networking fundamentals and Cloud Native Architecture
COMPLETE JOB DESCRIPTION
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