Senior Software Developer, AI Networking

Posted 3 Days Ago
Be an Early Applicant
6 Locations
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop highly optimized inference framework for AI networking, utilizing GPU Kernels and RDMA cards. Engage in next-gen performance-oriented solutions.
Summary Generated by Built In

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works.

We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play.

What you'll be doing:

  • Developing a highly optimized inference framework

  • Running on the world’s largest supercomputers and data centers.

  • The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.

What we need to see:

  • B.Sc. or equivalent experience in Computer Science or Software Engineering

  • 6+ years of experience in modern C++ / C / Rust development

  • 3 years of experience in Linux environment and familiarity with development tools

  • Deep knowledge of the TCP/IP network stack

  • Understanding of computer architecture and operating systems concepts

Ways to stand out from the crowd:

  • Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning)

  • Experience in programming CUDA kernels is an advantage

  • Familiarity with ML frameworks and LLMs

  • Background in parallel programming / high-performance computing / RDMA technology

With competitive salaries and a generous benefits package, we are 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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 24, 2025.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

C
C++
Cuda
High-Performance Computing
Linux
Ml Frameworks
Rdma
Rust
Tcp/Ip
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
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.”

Similar Jobs

Starburst Logo Starburst

University Talent Network

Big Data • Cloud • Information Technology • Software • Database • Analytics • Big Data Analytics
Easy Apply
Remote
United States
481 Employees

Sysco LABS Logo Sysco LABS

Mobile Quality Engineer

Cloud • eCommerce • Food • Mobile • App development
Remote
United States
250 Employees
95K-142K Annually

Sysco LABS Logo Sysco LABS

Senior Android Engineer

Cloud • eCommerce • Food • Mobile • App development
Remote
United States
250 Employees
118K-196K Annually

Sysco LABS Logo Sysco LABS

Android Engineer

Cloud • eCommerce • Food • Mobile • App development
Remote
United States
250 Employees
125K-208K Annually

Similar Companies Hiring

Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account