Manager, Software Engineering - Cumulus Linux 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

Technology, Networking, AI, High-Performance ComputingIndustries

Requirements

Highly motivated with a proactive demeanor and positive interpersonal communication skills
Master of Science in Electrical Engineering, Computer Science, Computer Engineering or Bachelors (or equivalent experience)
10+ years of proven leadership in Linux systems, data center networking technologies
3+ years of Management Experience
Ability to work optimally with stakeholders in a multi-functional team
Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements
Management experience with the software development lifecycle, specifically for networking, embedded systems, and security
Able to work independently with minimal direction
Excellent interpersonal skills with customers and flexibility to work across the time zones

Responsibilities

Manage and drive the design, architecture, and implementation of NVIDIA’s core Networking management framework
Manage experienced engineers and mentor new engineers in a dynamic technology driven environment
Lead these engineers providing technical guidance and career mentorship
Participate and drive market requirements and technical designs with internal and external teams crafting the programming model and User Experience for Network Business Unit products
Work closely with many partners including technical specialists, customer support, marketing, product planning, field engineers, development and test management teams
Build positive relationship with leaders inside and outside the core product team to efficiently manage the User Experience for all NBU products
Develop and apply software development processes, adapting to an agile environment of your team. Make continuous process improvements
Learn how to large system wide software project is planned, designed, developed, maintained, qualified, and released
Ability to guide through the problem solving process, minimize how often problems take place, which means be brave enough to solve them right way before they going wrong

Skills

Cumulus Linux

Ethernet

InfiniBand

Switching

Routing

Open Networking

Linux

Networking Standards

Programming APIs

Software Architecture

Agile

User Interfaces

Management Frameworks

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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