Senior Software Manager, Networking at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Networking, AI, High-Performance ComputingIndustries

Requirements

Master of Science in Electrical Engineering, Computer Science, Computer Engineering or Bachelors (or equivalent experience)
10+ overall years of proven leadership in Linux systems, data center networking technologies; familiarity with datacenter protocols
3 or more years of people management experience in an enterprise environment
Familiar with cloud native concepts
Strong background with Linux OS feature development
Experience driving projects from concept to production
Excellent written and verbal communication and interpersonal skills. Comfortable articulating value propositions to customers and influencing internal teams
Experience with embedded software on network switches
Background with bring up and troubleshooting of Ethernet Switching ASICs, Ethernet interfaces and modules

Responsibilities

Lead a team involved with development and delivery of Cumulus Linux packet forwarding and infrastructure features
Partner with other engineering teams to scope and develop solutions to improve systems security, performance and reliability features
Lead a team to design, develop, test and maintain new functionality and improvements to existing functionality related to packet forwarding and offload of routing, ACLs, NAT, policy-based routing, VxLAN-EVPN
Develop and debug C and Python code for packet forwarding monitoring, reliability and serviceability features as needed
Collaborate with product, architecture, and engineering teams for End to End integration of systems infrastructure features into Linux and Cumulus Linux distribution
Work with project management team for effort estimation and planning of the features
Work closely with recruiting staff to expand the team, including sourcing and interviewing candidates, participating in conferences/events, and onboarding new employees
Help engineers develop their careers, assigning them to projects tailored to their current skill levels as well as their long-term development, taking into account evolving strengths and capabilities
Work with upstream communities as needed, supervise technology trends like emerging standards for any technology opportunities
Guide through the problem solving process, minimize how often problems take place and proactively take steps to prevent problems from happening

Skills

Python

Linux

Cumulus Linux

Debian

VxLAN

EVPN

ACLs

NAT

Packet Forwarding

Secure Boot

Routing

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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