Senior Platform Engineer - AI/ML Infra & Edge CDN

NVIDIA; Santa Clara (CA); On-site; USD 200,000 - 322,000; Full time

Job summary

NVIDIA is seeking a Senior Staff Platform Engineer to architect, build, and scale foundational infrastructure for demanding AI/ML workloads. This hands-on technical leadership role spans cloud, networks, storage, and content delivery, with end-to-end ownership from design to production readiness and large-scale adoption.

The role requires deep expertise in Linux/Unix, distributed systems, and automation, with strong Python/Go and IaC experience.

Qualifications

• Bachelor's degree or equivalent experience in a related technical field.
• 12+ years of industry experience in relevant roles.
• Proven success architecting, building, and operating large-scale distributed platforms or infrastructure systems in production.
• Strong technical depth in cloud infrastructure, distributed systems, networking, compute, storage, platform engineering, or content delivery.
• Deep knowledge of Linux/Unix, TCP/IP, DNS, TLS, HTTP/S, proxies, load balancing, availability, scalability, and fault-tolerant design.
• Strong programming and automation skills with Python or Go, plus hands-on experience with infrastructure-as-code and orchestration.
• Experience with AWS, Azure, or Google Cloud Platform and ability to troubleshoot complex systems across layers.
• Demonstrated ability to independently drive architecture across multiple teams and mentor other engineers.

Responsibilities

• Architect, build, and operate highly available platform services for AI/ML, distributed compute, and data-intensive workloads.
• Own end-to-end delivery from architecture through production readiness and scale.
• Collaborate with Cloud, Networking, Security, AI/ML, and infrastructure teams to solve cross-domain challenges.
• Advance CDN and edge infrastructure, including caching, origin design, TLS, WAF, DNS, and traffic management.

Skills

Distributed systems

Cloud infrastructure

Networking

Python

Go

Linux/Unix

Docker

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field

Tools

Terraform

Kubernetes

AWS

Azure

GCP

Job description

NVIDIA is seeking a Senior Staff Platform Engineer to architect, build, and scale foundational infrastructure for demanding AI/ML workloads. This hands-on technical leadership role spans cloud, networks, storage, and content delivery, with end-to-end ownership from design to production readiness and large-scale adoption.

The role requires deep expertise in Linux/Unix, distributed systems, and automation, with strong Python/Go and IaC experience.