NVIDIA

Senior Software Engineer, Networking Software

United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Software-Defined Networking, Cloud Service Providers, HardwareIndustries

Senior Software Engineer - Networking

Position Overview

NVIDIA's platforms have made a significant impact in the fields of AI and Software-Defined Networking, with widespread use across leading academic institutions, start-ups, and industries— including the world’s largest internet companies, Cloud Service Providers (CSPs), and AI innovators. We are seeking an outstanding Senior Software Engineer to join our US-based networking software team. As a technical leader, you will play a key role in shaping the future of our team, developing its technological vision, and collaborating with partners on the next generation of software-defined networking products. Your primary responsibility will be customer engineering for NVIDIA Networking products, collaborating closely with hardworking groups of SDK developers, drivers and firmware engineers, DPU architects, and domain experts in security, virtualization, data science, and AI. Join us in advancing groundbreaking technologies within a dynamic and professional environment. Join a rapidly growing team where your work will greatly influence the future of a company at the forefront of innovation.

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.

Requirements

  • A 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.

Standout Qualifications

  • Experience working with customers and partners to develop strategic solutions.
  • Experience in DOCA development.
  • Hands-on background in Remote Direct Memory Access (RDMA) technology.
  • Hands-on experience in AI workloads, NCCL, CUDA, Congestion Control and performance tuning.

Company Information

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Compensation

  • Salary Range: $184,000 USD - $356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • Benefits: Eligible for a generous benefits package.

Employment Type

  • Full time

Location Type

  • [Location Type not specified]

Skills

Networking Software
Software-Defined Networking (SDN)
Embedded Networking
BlueField
ConnectX
SDK development
Driver development
Firmware development
DPU architecture
Security
Virtualization
Data Science
AI Networking
GPU hardware

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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