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

Nvidia Corporation

Base: $184,000 - $287,500 (level 4) or $224,000 - ...
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Pytorch or jax proficiency
Tensorrt-llm and vllm expertise
Quantization and pruning techniques
** Nvidia is seeking a Senior Deep Learning Software Engineer specialized in model optimization and edge deployment for autonomous vehicles. The role involves developing advanced algorithms and optimization techniques to enhance deep learning model performance in real-time robotic systems. **

Job Summary

  • This role bridges the gap between cutting-edge multimodal architectures and real-time robotic execution for autonomous vehicles.
  • Candidates will design SOTA algorithms to make LLM/VLM models fast, lean, and reliable enough to power an end-to-end driving stack.
  • NVIDIA is dedicated to making self-driving vehicles a reality with the goal of saving millions of lives through this technology.

Matching Summary

Match Score: 75

** Nvidia is seeking a Senior Deep Learning Software Engineer specialized in model optimization and edge deployment for autonomous vehicles. The role involves developing advanced algorithms and optimization techniques to enhance deep learning model performance in real-time robotic systems. **

Salary

Base: $184,000 - $287,500 (Level 4) or $224,000 - $356,500 (Level 5); Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • PyTorch or JAX proficiency
  • TensorRT-LLM and vLLM expertise
  • Quantization and pruning techniques
  • CUDA and GPU architecture knowledge
  • LLM/VLM optimization experience

Nice-to-have

  • Custom CUDA kernel development
  • Open-source library contributions
  • Real-time robotics safety constraints
  • Knowledge distillation implementation
  • High-performance C++ integration

Key Requirements

  • PhD with 4+ years or MS with 6+ years experience
  • BS with 8+ years equivalent experience
  • Expert-level proficiency in PyTorch or JAX
  • Deep familiarity with NVIDIA TensorRT and CUDA

Work Rights

Not specified

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