Senior Deep Learning Frameworks CUDA Software Engineer
AI summary of the role
Senior engineer to integrate advanced CUDA features and distributed runtime technologies into major AI frameworks (PyTorch, TRT-LLM, vLLM, SGLang, JAX).
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Integrate new CUDA features and Runtime abstractions in AI frameworks from PoC to production
- Perform deep analysis of AI workloads to identify requirements and innovate in lower layers of the stack
- Own and drive improvements in the AI Compiler-Runtime interface for multi-GPU multi-node solutions
- Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads
What you’ll bring
- BS/MS/PhD in CS, CE, EE or related field (or equivalent experience)
- 8+ years of relevant industry experience or equivalent academic experience
- Development experience with Deep Learning Frameworks such as PyTorch, JAX, and Inference Engines such as TRT-LLM, vLLM, SGLang
- Rapid prototyping with Python, C++, CUDA or related DSLs
Technologies
CUDA · PyTorch · JAX · TRT-LLM · vLLM · SGLang · NCCL · MPI · Triton · XLA
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing 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 up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for a motivated Deep Learning engineer to bring advanced CUDA features and Distributed Runtime technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created core CUDA features and runtimes for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond
More from the job description
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing 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 up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for a motivated Deep Learning engineer to bring advanced CUDA features and Distributed Runtime technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created core CUDA features and runtimes for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. CUDA features improve both productivity and performance of AI applications. Your work in AI toolkits will accelerate enabling those for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Integrate new CUDA features and Runtime abstractions in AI frameworks: from PoC to performance an [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, natio
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