NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using NVIDIA’s Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.
What you’ll be doing:
Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.
Analyze and optimize communication flows across application, transport, and network layers.
Develop system software spanning communication libraries, drivers, and firmware integrations.
Collaborate with hardware, firmware, and SDK teams to co-design network features.
Validate and integrate prototypes into NVIDIA’s AI infrastructure and products.
What we need to see:
BSc/MSc/PhD in Computer Science or Electrical Engineering
5+ years of relevant experience and/or knowledge
Deep understanding of networking and communication internals — NCCL, RDMA/RoCE, congestion control.
Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers).
Some background in distributed training systems (such as PyTorch DDP, Megatron-LM, DeepSpeed).
Ways to stand out from the crowd:
Demonstrated innovation and leadership turning prototypes into impactful product features.
Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs).
Familiarity with NIC firmware scheduling, in-network compute, or congestion management.
Contributions to open-source projects, academic papers, or performance benchmarking tools.
Strong background in AI factory architectures, distributed inference, or network telemetry.
NVIDIA is known as one of the most sought-after employers globally. You’ll be part of a high-impact team that develops technologies shaping the future of AI networking and distributed computing. If you’re enthusiastic about crafting the future — we look forward to hearing from you!
Skills Required
- BSc/MSc/PhD in Computer Science or Electrical Engineering
- 5+ years of relevant experience
- Deep understanding of networking and communication internals (NCCL, RDMA/RoCE, congestion control)
- Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers)
- Background in distributed training systems (PyTorch DDP, Megatron-LM, DeepSpeed)
- Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs)
- Familiarity with NIC firmware scheduling, in-network compute, or congestion management
- Contributions to open-source projects, academic papers, or benchmarking tools
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.”
