Senior Software Advanced Developer
NVIDIA is hiring a Senior Software Advanced Developer. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions PyTorch, Deepspeed and Nccl among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Develop and prototype distributed training and inference solutions using AI fabric and networking technologies.
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!
How we rate this
Senior Software Advanced Developer at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where distributed training was part of your work. What did you do?
- Tell me about a project where inference was part of your work. What did you do?
- Tell me about a project where c was part of your work. What did you do?
- Tell me about a project where networking was part of your work. What did you do?
- Tell me about a project where firmware was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Distributed Training, Inference, C, Networking, and Firmware. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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