below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$151,000–$213,200.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior Staff Platform Engineer will join the infrastructure team to architect, build, and scale foundational platforms for demanding compute and AI/ML workloads. This hands-on technical leadership role involves end-to-end ownership of highly available platform services, including cloud, GPU infrastructure, networking, storage, DNS, and content delivery. You will advance CDN and edge infrastructure by managing HTTP caching, TLS, WAF, and global load balancing. Key responsibilities include driving automation and infrastructure-as-code to create self-service capabilities. You will utilize Python, Go, Kubernetes, and Terraform to solve complex problems across distributed systems. The role requires deep knowledge of Linux/Unix, TCP/IP, and fault-tolerant system design to support large-scale production environments for AI/ML training, inference, and high-performance computing.
What does a Platform Engineer earn?
Median $156250 from 30 postings across 22 companies.
Architect, build, and scale highly available platform services for AI/ML and distributed compute workloads.
Manage end-to-end ownership of cloud, compute, GPU infrastructure, networking, storage, and load balancing.
Advance CDN and edge infrastructure including HTTP caching, TLS, WAF, and global traffic routing.
Drive automation and infrastructure-as-code using Python, Go, Kubernetes, and Terraform.
Develop self-service platform capabilities to enable engineering teams to consume infrastructure at scale.
Use observability, capacity analytics, and performance data to improve system reliability and efficiency.
Troubleshoot complex systems across application, operating system, network, and infrastructure layers.
What we're looking for
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
12+ years of relevant industry experience.
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 system design.
Strong programming and automation skills with Python, Go, or similar languages, plus hands-on experience with infrastructure-as-code and orchestration.
Experience with AWS, Azure, or Google Cloud Platform and the ability to troubleshoot complex systems across application, operating system, network, and infrastructure layers.
Demonstrated ability to independently drive architecture and implementation across multiple teams, communicate effectively, and mentor other engineers.