Network Site Reliability Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

BS degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience
Minimum of 10 years of industry practice in network operations or related fields concentrating on automation & site reliability engineering
Familiarity with both enterprise and data center networks
Proficiency in network fundamentals & fixing complex network issues with expertise in network technologies like TCP/UDP, IPv4/IPv6, Wireless, BGP, ISIS, VPN, L2 switching, Firewalls, Load Balancers, Data Center Network technologies, etc
Consistent track record in network operations
Familiarity with monitoring tools such as Prometheus, Grafana, Alert Manager, Nautobot/Netbox, BigPanda
Expertise in network automation using frameworks such as Salt, Ansible, or similar
Skills with ServiceNow, Jira & foundational knowledge of ITIL framework
Knowledge of Linux system fundamentals
Detailed problem-solving approach, critical thinking, coupled with good interpersonal skills and a solid grasp of ownership and drive

Responsibilities

Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability, actively working on network incidents and service requests
Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards
Advocating for and implementing automation to reduce toil and improve operational efficiency
Monitoring network performance, identifying areas for improvement, and collaborating with relevant teams to implement refinements
Collaborating with domain experts across functions to resolve production issues swiftly and effectively, ensuring customer happiness
Discovering opportunities for operational improvements and teaming up with colleagues to devise solutions that enhance excellence and sustainability in network operations
Minimizing manual operational tasks to achieve and maintain Service Level Objectives (SLOs)
Proactively identifying and mitigating network risks to promote continuous improvement
Developing knowledge base articles for automation and bots
Conducting blameless postmortems & following through on Root Cause Analyses (RCAs)

Skills

Network Operations

SRE

Network Automation

Observability

SLOs

Root Cause Analysis

Postmortems

High Availability

Debugging

Operational Excellence

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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