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NVIDIA

Designs the chips and software that power AI

Senior Manager - Network Delivery and Security

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree (B.E./B.Tech or equivalent experience) is required.
  • 12+ years of experience building and managing large-scale hybrid networks, including 6+ years of leadership experience.
  • A proven track record delivering multi-site network programs on schedule and within budget is required.
  • Knowledge of network security principles and the ability to implement and verify them are required.
  • Familiarity with security audits, penetration testing, and compliance frameworks is required.
  • Experience leading distributed teams and managing vendor relationships is required.
  • Deep expertise in networking protocols and technologies is required.
  • Experience with network automation tools and scripting languages is required.
  • Advanced degrees (M.Tech/M.S./PhD) in relevant fields are a plus.
  • Experience with large-scale GPU/AI networks and high-performance fabrics is preferred.
  • A background building secure networks for manufacturing sites or large-scale data centers is preferred.
  • Expertise deploying AI or agent-based tools in network operations is preferred.
  • Certifications such as CISSP, CISM, CCIE, or JNCIE are preferred.

Responsibilities

  • Lead network delivery for data centers, labs, and offices from build through validation, ensuring execution across the global portfolio.
  • Champion architectural standards to maintain alignment and raise deviations early for collaborative resolution.
  • Contribute to technology choices by evaluating delivery, supply, cost, and operability, and ensure approved technologies are successfully implemented.
  • Develop secure networks by applying InfoSec policies, ensuring consistency with local regulations, and keeping documentation current.
  • Drive automation in network infrastructure and guide investments in CI/CD, orchestration, and AI tools.
  • Hire, develop, and mentor engineering teams, encouraging collaboration across regions and time zones.
  • Coordinate capital-funded programs, ensure local labor laws are observed, and prepare team capacity based on the build roadmap.
  • Partner with multifunctional teams to turn requirements into delivery plans and keep leadership informed on program status and metrics.

Desired Qualifications

  • A dedication to building a diverse, inclusive, and high-performing team is desired.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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