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Senior Deep Learning Engineer, Deep Learning Algorithms

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins to transform industries.
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Job Description

NVIDIA, the world leader in accelerated computing, is seeking a Senior Deep Learning Engineer to join their innovative team. This role focuses on optimizing Deep Learning training, inference, and NVIDIA AI Services across all layers of the hardware/software stack. You'll work with cutting-edge technology, implementing state-of-the-art deep learning models and collaborating with world-class engineers on enterprise-grade GPU clusters capable of hundreds of Peta FLOPS.

The position offers a unique opportunity to work with unreleased hardware and directly impact NVIDIA's hardware and software roadmap. You'll be implementing models across various domains including Computer Vision, NLP/LLMs, ASR, and RecSys, while using multiple frameworks like PyTorch, JAX, and TensorFlow. The role involves performance analysis, optimization, and leading best practices for DL software development.

As a Senior Deep Learning Engineer, you'll be at the forefront of AI innovation, working in a collaborative environment that values creativity and autonomous thinking. The position requires strong Python skills, deep learning expertise, and experience with containerization technologies. You'll be part of a team that's transforming industries through AI and digital twins, making this an excellent opportunity for those passionate about pushing the boundaries of technology.

NVIDIA offers a dynamic work environment with some of the most brilliant minds in technology, making it one of the most desirable employers in the tech world. The company values diversity and maintains an inclusive culture that welcomes all talented individuals regardless of their background.

Last updated 6 days ago

Responsibilities For Senior Deep Learning Engineer, Deep Learning Algorithms

  • Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys)
  • Implement and test new SW features using recent hardware functionalities
  • Analyze, profile, and optimize deep learning workloads
  • Collaborate with researchers and engineers across NVIDIA
  • Lead best-practices for building, testing, and releasing DL software
  • Contribute to creation of large scale benchmarking system

Requirements For Senior Deep Learning Engineer, Deep Learning Algorithms

Python
Linux
Kubernetes
  • 3+ years of experience in DL model implementation and SW Development
  • BSc, MS or PhD degree in Computer Science, Computer Architecture or related technical field
  • Excellent Python programming skills
  • Extensive knowledge of at least one DL Framework with practical experience in PyTorch required
  • Strong problem solving and analytical skills
  • Algorithms and DL fundamentals
  • Docker containerization fundamentals

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