Senior Software Engineer, Networking Software at NVIDIA

Redmond, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Networking, Cloud ComputingIndustries

Requirements

Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience)
8+ overall years of experience
Strong affinity for innovation and a demonstrated ability to solve complex problems
Excellent time-management and organization skills, with the ability to coordinate multiple initiatives, priorities, and implementations of new technologies and products
Strong social skills, with experience working with developers, partners, and customers
Diligent and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements
Excellent communication and technical presentation skills, both internally and externally with customers
Experience in computer networking development, including fields such as Software-Defined Networking (SDN), DPUs, SmartNICs, NIC drivers, OVS/OVN, DPDK, DOCA, network applications/services, networking protocols, hardware acceleration/offloads, edge services

Responsibilities

Establish yourself as a technical specialist in embedded networking products, specifically the BlueField and ConnectX product lines, providing direct support to sales accounts and program managers while collaborating closely with the team to secure design wins
Architect, design, and develop innovative, scalable, and high-performance hardware-accelerated software solutions
Engage with strategic customers and partners to train, design, build, and productize solutions based on our networking products
Identify customer architectures and key product and production requirements related to AI networking at hyperscale, software-defined networking, and the latest GPU hardware
Provide technical guidance and direction to fellow developers, ensuring cohesive execution as a unified team
Represent the group in cross-org/leadership and customer technical discussions

Skills

BlueField

ConnectX

Networking Software

SDK

Drivers

Firmware

DPU

Security

Virtualization

Data Science

GPU

Software-Defined Networking

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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