Senior Software Engineer, Networking Software

NVIDIA•Us, CA

About The Position

NVIDIA’s platforms have already made a significant impact in the AI and Software-Defined Networking fields which are broadly used across leading academic institutions, start-ups, and industries, including the world’s largest Internet companies, Cloud Service Providers (CSPs) and AI Factories. Our success has been based on laser-focus defining the top-notch networking technologies, industry vertical business development, building a strong developer ecosystem and scaling out the business using partner channels and creative marketing. We need passionate, hard-working learners and problem solvers to help us pursue more of these rare opportunities. This customer-facing engineering role is for an expert in AI networking systems who will provide leadership to our customers who believe that deep learning, data science, networking, and generative artificial intelligence are a new computing revolution and have the potential to transform the industry. We are looking for an extraordinary Software Engineer focused on Networking and AI factory challenges. Your primary responsibilities will be customer engineering engagements for NVIDIA Networking products for systems deployed in the AI factories. You will be working multi-functionally with multiple internal organizations as well as ensuring a positive collaboration with external customers. You should be comfortable working in a dynamic environment and have experience working with embedded systems. You will use your people skills and your technical knowledge to provide design-in support for our networking and AI products in customer systems. Excellent interpersonal skills and the ability to work independently are essential. Experience with networking, DPDK, or DOCA is a plus, as well as the ability to pick up new technologies and skills.

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)
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

Nice To Haves

Proved record working with customers and developing strategic solutions
Embedded, Networking, DPDK, NCCL, or DOCA development experience
Hands-on experience in Remote Direct Memory Access (RDMA), AI workloads, NCCL, CUDA, Congestion Control, and performance tuning
Demonstrated drive for innovation and self-learning, such as independently mastering new technologies, leading projects from concept to delivery, participating in product hackathons, rapid prototyping, or contributing to patents and intellectual property

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