NVIDIA
AI

Senior Deep Learning Software Engineer PyTorch TensorRT Permance

NVIDIA · Santa Clara, CA · $148k

Actively hiring Posted about 2 months ago

Role overview

We are now looking for a Senior Deep Learning Software Engineer, PyTorch-TensorRT Performance! NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of Torch inference with TensorRT! NVIDIA is rapidly growing our research and development for Deep Learning Inference and is seeking excellent Software Engineers at all levels of expertise to join our team. Companies around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in areas like Generative AI, Recommenders and Vision that have put DL into every software solution. Join the team that builds the software to enable the performance optimization, deployment and serving of these DL solutions. We specialize in developing GPU-accelerated Deep learning software like TensorRT, DL benchmarking software and performant solutions to deploy and serve these models.

Collaborate with the deep learning community to integrate TensorRT to PyTorch. Identify performance opportunities and optimize SoTA models across the spectrum of NVIDIA accelerators, from datacenter GPUs to edge SoCs. Implement graph compiler algorithms, frontend operators and code generators across the PyTorch, Torch-TensorRT, TensorRT software stack. Work and collaborate with a diverse set of teams involving workflow improvements, performance modeling, performance analysis, kernel development and inference software development.

What you'll work on

  • 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're looking for

  • 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

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Deep Learning Pytorch Generative Ai Ai