Network Site Reliability Engineer at NVIDIA

Bengaluru, Karnataka, India

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

Requirements

  • BS degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience
  • Minimum of 10 years of industry experience in network site reliability engineering, network automation, network operations, or related areas, with experience on both campus and data center networks
  • Familiarity with network management tools such as Prometheus, Grafana, Alert Manager, Nautobot/Netbox, BigPanda
  • Expertise in automating networks using frameworks such as Salt, Ansible, or similar
  • In-depth experience in one or more programming languages: Python, Go, capable of building systems that monitor and manage a network beyond simple scripts
  • Knowledge of network technologies such as TCP/UDP, IPv4/IPv6, Wireless, BGP, VPN, L2 switching, Firewalls, Load Balancers, EVPN, VxLAN, Segment Routing, with subject matter expertise in at least one domain and proven track record in network operations
  • Skills with ServiceNow and Jira
  • Knowledge of Linux system fundamentals
  • Systematic problem-solving approach, critical thinking, excellent communication skills, strong sense of ownership and drive

Responsibilities

  • Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability
  • 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 enhance operational efficiency
  • Monitoring network performance, identifying areas for improvement, and coordinating with relevant teams to execute enhancements
  • Collaborating with SMEs to resolve production issues swiftly and effectively, maintaining customer satisfaction
  • Identifying opportunities for operational improvements and partnering with teams to develop solutions that drive excellence and sustainability in network operations

Skills

Key technologies and capabilities for this role

SRENetwork OperationsNetwork AutomationObservabilityTroubleshootingNetwork MonitoringRoot Cause AnalysisBlameless PostmortemsSLO Management

Questions & Answers

Common questions about this position

What experience level is required for this Network Site Reliability Engineer role?

A minimum of 10 years of industry experience in network site reliability engineering, network automation, network operations, or related areas is required, including experience on both campus and data center networks.

What technical skills are needed for this position?

Key skills include familiarity with monitoring tools like Prometheus, Grafana, Alert Manager, Nautobot/Netbox, BigPanda; expertise in network automation using Salt, Ansible or similar; in-depth experience in Python or Go; and knowledge of network technologies such as TCP/UDP, IPv4/IPv6, Wireless, BGP, VPN, L2 switching.

What is the educational requirement for this role?

A BS degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience is required.

What does the company culture emphasize in this team?

The team emphasizes blameless postmortems, proactive risk mitigation, continuous improvement, reducing toil through automation, mentorship, professional development, and fostering a supportive atmosphere.

What makes a strong candidate for this Network SRE position?

Strong candidates will have 10+ years of experience in network SRE or operations, hands-on expertise in automation, monitoring tools, Python/Go scripting, and network technologies, plus a passion for seamless operations, user experience, and mentoring others.

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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