Senior Systems Software Engineer - Deep Learning Solutions

Invidia

Multiple Locations
Base: 225,000 cad - 275,000 cad; bonus/equity: eli...
Hybrid
Deep learning model optimization
Inference engineering on edge devices
Gpu architecture and cuda expertise
NVIDIA is a global leader in physical AI, powering self-driving cars, humanoid robots, intelligent environments, and medical devices

Job Summary

  • NVIDIA is a global leader in physical AI, powering self-driving cars, humanoid robots, intelligent environments, and medical devices.
  • This role involves addressing tough optimization problems at the intersection of model architectures, compiler technology, and embedded hardware with direct impact on autonomous vehicles and robotics.
  • The position offers opportunities to collaborate with automotive OEMs, robotics partners, and internal teams while representing NVIDIA externally at conferences and partner events.

Matching Summary

NVIDIA is a global leader in physical AI, powering self-driving cars, humanoid robots, intelligent environments, and medical devices.

Salary

Base: 225,000 CAD - 275,000 CAD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • deep learning model optimization
  • inference engineering on edge devices
  • GPU architecture and CUDA expertise
  • performance benchmarking and optimization
  • embedded operating systems knowledge
  • collaboration with automotive OEMs
  • TensorRT and compiler-stack solutions

Nice-to-have

  • ML compiler frameworks experience
  • autonomous vehicle perception stack knowledge
  • Physical AI model familiarity
  • MLPerf benchmark contributions
  • automotive safety standards experience
  • leading distributed engineering teams

Key Requirements

  • Master’s degree or equivalent experience
  • 12+ years industry experience
  • 8+ years deep learning optimization experience
  • 5+ years embedded/edge software expertise
  • experience delivering production inference solutions
  • experience with CUDA and parallel programming
  • experience collaborating with external partners

Work Rights

Not specified

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