Senior Software Engineer
NVIDIA
Senior Software Engineer
NVIDIA
Designs the chips and software that power AI
At NVIDIA, we are redefining the future of technology, and our Senior Software Engineer, Networking role offers a uniquely ambitious opportunity to contribute to world-class innovations. If you thrive in a collaborative and inclusive environment, are driven to succeed, and want to be part of something exceptionally impactful, this role is for you!
We are looking for a Senior Software Engineer with Linux Kernel experience to join the Linux networking drivers R&D team. The work environment is versatile, informative, dynamic and challenging as our employees are currently working on innovative, next-generation network interface card at the forefront of technology.
What you'll be doing:
Develop high-quality code for the Linux kernel and open-source environments, contributing to the upstream kernel community.
Collaborate and debug with teams across the globe to provide the best networking solutions for our customers.
Drive complex technical issues to closure that may occur across team boundaries.
Lead the complete engineering process, including refining requirements, building data structures/algorithms, implementation, peer review, developer testing, and post-GA support.
Work in a fast-paced environment of continuous development and deployment cycles.
Craft and implement Linux kernel networking drivers for NVIDIA ConnectX and BlueField network adapters, as well as userspace libraries.
What we need to see:
Bachelor's degree or higher in Computer Science, or equivalent experience.
8+ years of proven experience in the field.
Native C programming experience.
Excellent problem-solving, analytical, and debugging skills.
Experience with Linux kernel-level programming.
Deep understanding of networking drivers and software/hardware interaction, including device drivers, Linux kernel internals, and userspace/kernel interactions.
Strong networking knowledge — TCP/IP, L2/L3 protocols, and network device driver architecture.
Strong ability to self-manage and communicate effectively.
Ways to stand out from the crowd:
Proficiency in data structures and operating systems internals.
Previous experience with the upstream Linux kernel community and open-source contribution.
Hands-on expertise with RDMA and RoCE.
Having a Master's or similar experience in Computer Science is advantageous.
If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Join us in groundbreaking the next era of computing and make a lasting impact on the world!
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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