Senior Deep Learning Software Engineer, Tensorrt Performance

Invidia

Multiple Locations
Base: 152,000 usd - 241,500 usd for level 3, 184,0...
Hybrid
Deep learning software engineering
Performance analysis and optimization
C++ and python programming
Join the team that builds software to enable performance optimization, deployment, and serving of deep learning inference solutions across NVIDIA accelerators

Job Summary

  • Join the team that builds software to enable performance optimization, deployment, and serving of deep learning inference solutions across NVIDIA accelerators.
  • Collaborate with diverse teams across generative AI, automotive, robotics, and other domains to develop innovative inference solutions.
  • NVIDIA offers a real-time, cost-effective computing platform driving success in a rapidly growing field with equity and benefits.

Matching Summary

Join the team that builds software to enable performance optimization, deployment, and serving of deep learning inference solutions across NVIDIA accelerators.

Salary

Base: 152,000 USD - 241,500 USD for Level 3, 184,000 USD - 287,500 USD for Level 4; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Deep learning software engineering
  • Performance analysis and optimization
  • C++ and Python programming
  • Experience with DL frameworks and inference libraries
  • TensorRT and TensorRT-EdgeLLM expertise
  • Cross-team collaboration on AI solutions

Nice-to-have

  • GPU architecture knowledge
  • Modern deep learning model understanding
  • Deep learning domain specific languages
  • Experience with graph compilers
  • Embedded AI pipeline optimization

Key Requirements

  • Bachelor's, Master's, PhD or equivalent experience in relevant fields
  • At least 3 years of relevant software development experience
  • Strong software engineering skills
  • Experience with DL frameworks and inference libraries
  • Performance analysis and optimization experience

Work Rights

Not specified

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