NVIDIA is leading the way in groundbreaking advancements in Artificial Intelligence (AI), High-Performance Computing (HPC), and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new frontiers for exploration, fuels creativity and discovery, and powers innovations once considered science fiction—from artificial intelligence to autonomous vehicles.
NVIDIA is looking for outstanding engineers like you to help accelerate the next wave of AI innovation.
We are hiring dedicated Senior Software Engineers to join our GPU Fabric Networking group. This group builds and sustains system software that promotes swift communication among GPUs, fueling next-generation AI, deep learning, and high-performance computing platforms.
What You’ll Be Doing:Build, roll out, and uphold system software that allows for efficient communication between GPUs.
Participate in the architecture and build of next-generation communication hardware and software that support large-scale computing platforms.
Drive platform bring-up, feature enablement, end-to-end software validation, and debugging for next-generation NVLink-based GPU and rack-scale systems.
Triage and resolve complex software, firmware, networking, and platform issues across validation, deployment, and production environments.
Contribute to software quality, performance optimization, reliability, and scalability across the GPU networking software stack.
Collaborate with cross-functional engineering teams to understand business and technical requirements and deliver software solutions that meet those needs.
Bachelor's degree or comparable experience, or Master's degree or comparable experience, in Computer Science, Computer Engineering, or a related field.
5+ years of professional software engineering experience.
Excellent C/C++ programming, debugging, and problem-solving skills.
Experience with shell scripting; experience with Python and Perl is a plus.
Experience developing software that collaborates with device drivers and exposes hardware functionality.
Solid grasp of computer architecture, operating systems, Linux kernel internals, and systems programming.
Solid Linux development background and the capability to operate efficiently across multiple platforms, including Linux and Windows.
Experience developing multi-core, multi-process, and multi-threaded applications.
Strong networking fundamentals, including TCP/IP, Ethernet, InfiniBand, RDMA/RoCE, routing, switching, and fabric performance analysis.
Experience with operating system virtualization technologies such as KVM, QEMU, Hyper-V, or similar platforms.
Excellent written and verbal communication skills, with the ability to work effectively across global, cross-functional, and distributed teams.
Experience with NVIDIA GPU systems, NVLink, NVSwitch, CUDA, and large-scale AI/HPC clusters such as NVIDIA GB200 NVL72.
Solid knowledge of large-scale AI system architecture, encompassing PCIe, memory hierarchy, DMA, high-speed interconnects, and distributed training and inference.
Experience with server management technologies, data center operations, cluster provisioning, scaling, and fleet monitoring.
Familiarity with software quality assurance techniques, including static and dynamic code analysis, fuzz testing, negative testing, and performance validation.
Experience using AI-assisted software development tools and modern developer efficiency solutions.
NVIDIA is consistently ranked among the best places to work in technology. We offer:
Highly competitive compensation.
Industry-leading benefits for you and your family.
A collaborative culture that encourages learning, mentorship, innovation, and career growth.
The opportunity to work on industry-leading AI infrastructure and technologies that are transforming the future of computing.
Skills Required
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or comparable experience
- 5+ years of professional software engineering experience
- Excellent C/C++ programming, debugging, and problem-solving skills
- Experience with shell scripting
- Experience with Python and Perl
- Experience developing software that collaborates with device drivers and exposes hardware functionality
- Solid grasp of computer architecture, operating systems, Linux kernel internals, and systems programming
- Solid Linux development background and ability to operate across Linux and Windows
- Experience developing multi-core, multi-process, and multi-threaded applications
- Strong networking fundamentals including TCP/IP, Ethernet, InfiniBand, RDMA/RoCE, routing, switching, and fabric performance analysis
- Experience with OS virtualization technologies such as KVM, QEMU, Hyper-V, or similar
- Excellent written and verbal communication skills for cross-functional and distributed teams
- Experience with NVIDIA GPU systems, NVLink, NVSwitch, CUDA, and large-scale AI/HPC clusters
- Knowledge of PCIe, memory hierarchy, DMA, high-speed interconnects, distributed training and inference
- Experience with server management, data center operations, cluster provisioning, scaling, and fleet monitoring
- Familiarity with software QA techniques including static/dynamic analysis, fuzz testing, and performance validation
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
