Senior Software Advanced Developer at NVIDIA

Yokneam Ilit, Haifa District, Israel -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Networking, Communication Internals, NCCL, RDMA/RoCE, Congestion Control, HW/SW/FW Integration, Low-Level Programming, C/C++, Kernel, Drivers, Distributed Training Systems, PyTorch DDP, Megatron-LM, DeepSpeed, Programmable Data Planes, NIC Firmware Scheduling

Industry

Computer Hardware Manufacturing

Description

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! NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The role involves prototyping end-to-end solutions to enhance distributed training and inference performance. It also includes analyzing communication flows and collaborating with various teams to integrate prototypes into NVIDIA's AI infrastructure.