Network Site Reliability Engineer at NVIDIA

Bengaluru, Karnataka, India

Apply Now

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

SRE

Network Operations

Network Automation

Observability

Troubleshooting

Network Monitoring

Root Cause Analysis

Blameless Postmortems

SLO Management

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.

Land your dream remote job 3x faster with AI

Try Jobo Free