Principal Staff Site Reliability Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience
15+ years of proven experience in compute platform engineering with a focus on automation
Experience in designing and deploying Containerization architectures and Distributed Systems Infrastructure
Proven experience evaluating existing application architectures and identifying opportunities for containerization to improve scalability, reliability, and efficiency
Strong analytical skills with the ability to define and track key performance metrics
Experience in developing tools for data analysis and performance profiling
Development with Terraform, Config Management tools
Proficiency in programming languages such as Go and/or Python
Linux OS Proficiency with Kernel Internals
Experience with running large environments consisting of BareMetal Build Infrastructure
Understanding of Network Protocols and Architectures (VLAN/VxLAN/SDN/BGP/Anycast)

Responsibilities

Lead initiatives to transform IT Compute Core Team, architecture to build new service offerings across On-Prem and Cloud
Design, scale, and deploy core infrastructure services including DNS, NTP/PTP, DHCP, and LDAP, including building for performance and reliability at global scale, covering automation, monitoring, high availability, capacity planning, and lifecycle management
Define and implement metrics to measure the efficiency of services and drive efficiency with software and hardware optimizations (SR-IOV/DPU)
Experience with Technologies like eBPF and XDP for Observability & DDoS mitigation
Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes
Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring
Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs

Skills

DNS

NTP

PTP

DHCP

LDAP

eBPF

XDP

SR-IOV

DPU

automation

monitoring

high availability

capacity planning

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees