Manager, Network Operations at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Bachelor’s degree in Computer Science, related technical field, or equivalent experience
Experience building and growing geographically distributed teams that appreciate local operations and bring a global perspective, following standards
Demonstrated technical expertise in networking domain covering technologies in routing and switching such as EVPN, BGP, OSPF, VXLAN, switching, etc
Ability to perform technical deep-dives into networking, operating systems, code, and storage, and be verbally and cognitively agile in strategy discussions with NVIDIA’s executive team and peer SMEs
Ability to identify trends and promote solutions that solve challenges efficiently across multiple product areas
Ability to leverage metrics on team performance and generate reports using tools such as ServiceNow and PowerBI
Excellent innovative thinking, collaboration, and problem-solving skills
10+ overall years of combined experience in network architecture, network engineering, network SRE, and network operations, including 4+ years in a leadership role
Strong foundation in network operations and SRE

Responsibilities

Ensure and improve network health through operational signals and customer experience metrics
Work closely with leadership to evolve the current support model and processes to a more data-driven, automated, SRE model
Provide technical leadership, direction, and strategy for a growing team of reliability experts focused on networking support and operations
Set the technical vision, strategy, and roadmap for network operations in partnership with key infrastructure and partner teams
Collaborate with Network Architecture, Network Deployment teams to establish run books, regular training sessions, and build self-healing networks
Understand RCAs from events and incidents and work with AI operations to enrich observability tooling for a better full-stack view of the network to applications
Influence the architecture of NVIDIA networks both on-prem and in the clouds

Skills

Networking

Network Operations

SRE

Observability

Automation

Root Cause Analysis

Network Architecture

Cloud Networking

On-Premise Networking

AI Operations

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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