Senior Software Engineer, Networking Software 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

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)
5+ overall years in a similar or related role
Thrives in a fast-paced environment while maintaining commitment to customer success
Knowledge of networking protocols, especially RoCE, Infiniband, and the common L1 to L4 protocols
Background in high-performance networking and low-level programming, with strong proficiency in C
Strong analytical and problem-solving skills
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into sophisticated projects
Self-motivated to independently acquire new skills and knowledge
Willingness to use AI tools and emerging technologies to enhance engineering tasks and problem-solving
Comfortable working in a dynamic environment with experience in embedded systems
Excellent interpersonal skills and the ability to work independently

Responsibilities

Establish yourself as a technical expert in embedded networking products, mainly BlueField and ConnectX product lines, directly supporting sales account and program managers, working closely with the team to secure design wins
Demonstrate self-sufficiency by proactively identifying solutions, independently mastering new technologies, leveraging AI-powered tools to accelerate your development and productivity, and driving projects with minimal supervision
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 with regard to AI networking at hyperscale, software-defined networking, and the latest GPU hardware
Represent the group in cross-org/leadership and customer technical discussions
Provide customer engineering engagements for NVIDIA Networking products for systems deployed in the AI factories
Work multi-functionally with multiple internal organizations as well as ensuring a positive collaboration with external customers
Use people skills and technical knowledge to provide design-in support for networking and AI products in customer systems

Skills

Networking

DPDK

DOCA

BlueField

ConnectX

embedded systems

Software-Defined Networking

AI 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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