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Senior AI Infrastructure Engineer - DGX Cloud

AI Engineer Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Design, build, and operate production infrastructure for large-scale AI training and inference services. This engineering role combines software and systems work to keep GPU cloud platforms available and efficient, from cluster performance analysis and capacity planning to deployment, monitoring, and incident response.

Responsibilities - Build and run internal tools for AI training and inference platforms on cloud infrastructure. - Characterize and analyze performance across large multi-GPU and multi-node clusters. - Own service work across its lifecycle, from design and launch preparation through deployment, production operation, and ongoing improvement. - Advise on system design and develop tools, platforms, and frameworks that prepare services for launch. - Measure availability, latency, and overall health, then improve scalability and reliability through automation and system changes. - Participate in on-call support and use blameless incident reviews to improve production systems.

Requirements - At least five years of relevant experience and a degree in computer science or another technical field involving coding, or equivalent experience. - Background in infrastructure automation and distributed-systems design for production private or public cloud platforms. - Experience with at least one of Python, Go, C/C++, or Java. - Strong working knowledge in one or more areas such as Linux, networking, storage, or container technologies. - Experience with public cloud platforms and infrastructure as code, including Terraform. - Ability to initiate work, collaborate across teams, communicate clearly, and take ownership of operational outcomes.

Nice to have - Experience operating large private or public cloud environments using Kubernetes or Slurm. - A track record of diagnosing distributed-system issues, improving performance, and automating routine operations.

Benefits and work setup The position includes production on-call duties. Stated base salary ranges are $152,000–$241,500 at one level and $184,000–$287,500 at another, with equity and benefits also available; compensation depends on location, experience, and other job-related factors.

Skills detected in the listing

PythonJavaGoC++KubernetesTerraform
Detected Nov 11, 2026
Last verified Nov 12, 2026

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