AI and Infrastructure Software Engineer, Virtualization
Job Description
This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.
About this kind of role
What a AI and Infrastructure Software Engineer, Virtualization usually does. The employer's own details are in the listing.
Typically does: This role focuses on developing and maintaining software that supports artificial intelligence workloads and the underlying infrastructure, often with a specialization in virtualization technologies. Responsibilities include designing, implementing, and testing software solutions to optimize AI performance, scalability, and resource utilization. Work may involve automating infrastructure provisioning, managing virtual machines, and ensuring the stability of AI training and deployment environments. Collaboration with AI researchers and infrastructure teams is common.
Tools and skills: Proficiency in programming languages like Python, Go, or Java, experience with cloud platforms (AWS, Azure, GCP), virtualization technologies (VMware, KVM), containerization (Docker, Kubernetes), and scripting languages is generally required.
Good fit for: Individuals with a strong background in software engineering and a passion for leveraging technology to advance artificial intelligence capabilities thrive in this role.
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