Senior Software Engineer, Networking Software

Posted Yesterday
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Santa Clara, CA
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Software Engineer at NVIDIA, you will work on customer engineering engagements for networking products in AI factories. Responsibilities include establishing technical expertise in embedded networking products, engaging with customers and partners to train and design solutions, and providing technical guidance to peers, all within a dynamic environment focused on customer success.
Summary Generated by Built In

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 factories 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 experience for 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 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.

What you’ll be doing:

  • 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

  • Continuously learn and ramp up on new technologies

  • 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

  • Provide technical guidance and direction to other developers in the group to execute as a single cohesive unit

  • Represent the group in cross-org/leadership and customers technical discussions

What we need to see:

  • 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

  • Capable of working in a constantly evolving environment without losing focus on customer success

  • Strong affinity for innovation

  • Knowledge of networking protocols, especially RoCE, IB and the common L1 to L4 protocols

  • Background in high-performance networking and low-level programming

  • 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

  • Fast Learner

Ways to stand out from the crowd:

  • Proved record working with customers and developing strategic solutions

  • Embedded, Networking, DPDK or DOCA development experience

  • Hands-on experience in Remote Direct Memory Access (RDMA) technology

  • Hands-on experience in AI workloads, NCCL, CUDA, Congestion Control and performance tuning

  • Documentation and knowledge-sharing abilities

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and versatile people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 148,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

AI
Networking Software
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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