Senior Staff Platform Engineer

Details

NVIDIA is seeking a Senior Staff Platform Engineer to architect, build, and scale foundational infrastructure for demanding compute and AI/ML workloads. The role spans distributed systems, cloud, networking, content delivery, automation, and reliability engineering, with broad influence across Cloud, Networking, Security, AI/ML, and Developer Infrastructure teams.

Responsibilities

• Architect, build, and scale highly available platform services for AI/ML, distributed compute, and data-intensive workloads.
• Own infrastructure from architecture and design through implementation, production readiness, and large-scale adoption.
• Work across cloud, compute, GPU infrastructure, networking, storage, DNS, load balancing, proxies, traffic management, and content delivery.
• Advance CDN and edge infrastructure, including HTTP caching, origin architecture, TLS, WAF, rate limiting, traffic routing, and global load balancing.
• Drive automation, infrastructure-as-code, and self-service capabilities using technologies such as Python, Go, Kubernetes, and Terraform.
• Use observability, capacity analytics, incident learnings, and performance data to improve reliability, scalability, efficiency, and operational simplicity.
• Collaborate with Cloud, Networking, Security, AI/ML, and infrastructure teams to solve complex cross-domain problems.
• Independently drive architecture and implementation across multiple teams and mentor other engineers.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
• 12 or more years of relevant industry experience.
• Proven success architecting, building, and operating large-scale distributed platforms or infrastructure systems in production.
• Strong technical depth in several areas, including 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 system design.
• Strong programming and automation skills with Python, Go, or similar languages, along with hands-on experience with infrastructure-as-code and orchestration.
• Experience with AWS, Azure, or Google Cloud Platform.
• Ability to troubleshoot complex systems across application, operating system, network, and infrastructure layers.
• Ability to communicate effectively in complex situations and mentor other engineers.

Preferred Qualifications

• Experience building platforms for AI/ML training, inference, model serving, GPU-accelerated workloads, distributed compute, or high-performance computing.
• Deep expertise with CDN and edge platforms such as Akamai, AWS CloudFront, Fastly, or Cloudflare, including caching, origin design, WAF, DNS, TLS, and global traffic management.
• Experience developing self-service platform capabilities that enable engineering teams to consume infrastructure reliably and at scale.
• Proven use of SLIs, SLOs, error budgets, capacity analytics, and reliability metrics to deliver measurable improvements.
• Experience distributing models, datasets, containers, software artifacts, or other large objects across globally distributed environments.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Equity eligibility.

NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment. Applications will be accepted at least until August 23, 2026.