Senior Deep Learning Framework Communications Engineer at NVIDIA
You're a Senior Deep Learning engineer with experience in frameworks like PyTorch or JAX and a solid understanding of AI models and parallelisms. A Bachelor's d
Work type: remote
Location: US, CA, Santa Clara | US, MA, Westford | US, TX, Austin | US, Remote | US, NC, Durham
Salary: $152,000 – $287,500/yr
Type: Full-time
You're a Senior Deep Learning engineer with experience in frameworks like PyTorch or JAX and a solid understanding of AI models and parallelisms. A Bachelor's degree in Computer Science or a related field, or equivalent experience, is expected.
**What makes it worth a look...**
This is a full-time, fully remote Senior Deep Learning Framework Communications Engineer role at Nvidia, offering an annual salary between $152,000 and $287,500 USD. You'll contribute to core communication libraries like NCCL and NVSHMEM, directly impacting AI and HPC application scaling for diverse multi-GPU demands.
**You might be a good fit if you...**
* Have experience integrating communication libraries into AI frameworks like PyTorch and JAX.
* Can perform deep analysis of AI workloads and frameworks for multi-GPU communication.
* Possess rapid prototyping skills with Python, C++, and CUDA or related DSLs.
* Are familiar with performance benchmarking on AI clusters and profiler tools.
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