Senior Dl Software Engineer, Model Optimization And Edge Deployment - Autonomous Vehicles

NVIDIA

Base: 184,000 usd - 287,500 usd for level 4; 224,0...
Not specified (assumed hybrid/remote based on industry trends).
Expert-level proficiency in pytorch
Experience with llm/vlm inference stacks
Proven track record in dl model optimization
NVIDIA is seeking a Senior Deep Learning Software Engineer specializing in model optimization and edge deployment for autonomous vehicles. The role focuses on developing state-of-the-art algorithms and optimizing deep learning models for real-time performance, requiring advanced technical expertise and experience in machine learning frameworks

Job Summary

  • NVIDIA is leading the AI revolution in Embodied AI.
  • You will design and implement SOTA algorithms for autonomous vehicles.
  • Join a team dedicated to making self-driving vehicles a reality.

Matching Summary

Match Score: 85

NVIDIA is seeking a Senior Deep Learning Software Engineer specializing in model optimization and edge deployment for autonomous vehicles. The role focuses on developing state-of-the-art algorithms and optimizing deep learning models for real-time performance, requiring advanced technical expertise and experience in machine learning frameworks.

Salary

Base: 184,000 USD - 287,500 USD for Level 4; 224,000 USD - 356,500 USD for Level 5; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Expert-level proficiency in PyTorch
  • Experience with LLM/VLM inference stacks
  • Proven track record in DL model optimization

Nice-to-have

  • Experience with low-bit inference
  • Contributions to open-source libraries
  • Understanding of real-time robotics constraints

Key Requirements

  • PhD with 4+ years or MS with 6+ years
  • Deep familiarity with NVIDIA’s deep learning SDKs
  • Strong understanding of GPU architecture

Work Rights

Not specified

Tailored Resume

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