Staff Site Reliability Engineer at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • 10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles
  • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
  • Strong proficiency in programming languages such as Python, Typescript, JavaScript, or Go, with a focus on automation and infrastructure-as-code
  • Experience with infrastructure-as-code such as AWS CDK, AWS CloudFormation, Terraform or CrossPlane
  • Solid understanding of OpenTelemetry or other Observability implementation at scale
  • Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP)
  • Outstanding problem-solving, communication, and teamwork skills, with the ability to influence across technical and interpersonal boundaries

Responsibilities

  • Lead the technical strategy and roadmap for large-scale, cross-functional SRE initiatives that improve reliability, scalability, and developer productivity across enterprise systems
  • Design, and build resilient distributed systems that power NVIDIA’s next-generation AI-driven enterprise products and services
  • Drive automation and observability improvements, using metrics and analytics to enhance performance, reliability, and efficiency
  • Collaborate across Cloud, Platform, Security, and AI/ML teams to implement modern SRE components that ensure high availability and secure operations
  • Analyze and troubleshoot complex systems, championing best practices in system design, incident management, and postmortem analysis
  • Mentor and influence engineers across teams, fostering technical excellence and a culture of reliability engineering

Skills

Site Reliability Engineering
Kubernetes
Public Cloud
Networking
Coding
Database
Capacity Management
Continuous Delivery
Continuous Deployment
Automation
Performance Tuning
Systems Engineering

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

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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