Senior DGX Cloud AI Infrastructure Software Engineer
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 Senior DGX Cloud AI Infrastructure Software Engineer usually does. The employer's own details are in the listing.
Typically does: Designs, develops, and maintains cloud-based infrastructure and platforms supporting artificial intelligence and machine learning applications. This role involves automating infrastructure provisioning, scaling AI workloads, and ensuring the reliability and security of AI systems. Responsibilities often include optimizing performance, troubleshooting issues, and collaborating with data scientists and machine learning engineers. They may also research and implement new technologies to improve the efficiency and effectiveness of AI infrastructure.
Tools and skills: Proficiency in cloud platforms like Amazon Web Services, Google Cloud Platform, or Microsoft Azure, along with experience in containerization technologies (Docker, Kubernetes), infrastructure-as-code tools (Terraform, CloudFormation), and programming languages like Python or Go, is generally expected.
Good fit for: Individuals with a strong background in software engineering and a passion for building scalable and robust infrastructure for AI applications typically thrive in this role.
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A full-time year is 2,080 hours: $49 an hour is $101,920 a year before taxes, and $98,000 a year is $47.12 an hour. Pay calculator →
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