Nvidia
Senior Deep Learning Software Engineer, PyTorch – TensorRT Performance
Nvidia, Santa Clara, California, us, 95053
What you’ll be doing:
Analyze performance issues and identify performance optimization opportunities inside Torch‑TensorRT/TensorRT.
Contribute features and code to NVIDIA/OSS inference frameworks including but not limited to Torch‑TensorRT/TensorRT/PyTorch.
Work with cross‑collaborative teams inside and outside of NVIDIA across generative AI, automotive, robotics, image understanding, and speech understanding to develop innovative inference solutions.
Scale performance of deep learning models across different architectures and types of NVIDIA accelerators.
What we need to see:
Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Science, Computer Engineering, EECS, AI).
At least 4 years of relevant software development experience.
Excellent Python/C++ programming, software design and software engineering skills.
Experience with a DL framework like PyTorch, JAX, TensorFlow.
Experience with performance analysis and performance optimization.
Ways to stand out from the crowd:
Architectural knowledge of GPU.
Prior experience with a AoT or JiT compiler in deep learning inference, e.g. TorchDynamo/TorchInductor.
Prior experience with performance modeling, profiling, debug, and code optimization of a DL/HPC/high‑performance application.
GPU programming experience and proficiency in one of the GPU programming domain specific languages, e.g. CUDA/TileIR/CuTeDSL/cutlass/Triton.
GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems posed using human language.
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, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Applications for this job will be accepted at least until December 15, 2025.
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Contribute features and code to NVIDIA/OSS inference frameworks including but not limited to Torch‑TensorRT/TensorRT/PyTorch.
Work with cross‑collaborative teams inside and outside of NVIDIA across generative AI, automotive, robotics, image understanding, and speech understanding to develop innovative inference solutions.
Scale performance of deep learning models across different architectures and types of NVIDIA accelerators.
What we need to see:
Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Science, Computer Engineering, EECS, AI).
At least 4 years of relevant software development experience.
Excellent Python/C++ programming, software design and software engineering skills.
Experience with a DL framework like PyTorch, JAX, TensorFlow.
Experience with performance analysis and performance optimization.
Ways to stand out from the crowd:
Architectural knowledge of GPU.
Prior experience with a AoT or JiT compiler in deep learning inference, e.g. TorchDynamo/TorchInductor.
Prior experience with performance modeling, profiling, debug, and code optimization of a DL/HPC/high‑performance application.
GPU programming experience and proficiency in one of the GPU programming domain specific languages, e.g. CUDA/TileIR/CuTeDSL/cutlass/Triton.
GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems posed using human language.
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, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Applications for this job will be accepted at least until December 15, 2025.
#J-18808-Ljbffr