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

NVIDIA

Base: $184,000 - $287,500 usd (level 4); base: $22...
Not specified
Deep learning model optimization
Pytorch and tensorrt proficiency
Gpu architecture and cuda expertise
NVIDIA is seeking a Senior Deep Learning Software Engineer to work on model optimization and edge deployment for autonomous vehicles. The ideal candidate will have extensive experience in deep learning frameworks and optimizing large-scale models for real-time applications, with an emphasis on safety and performance

Job Summary

  • This role involves re-architecting cutting-edge multimodal architectures to ensure they operate within the strict latency and safety constraints of an autonomous vehicle compute platform.
  • Candidates will develop state-of-the-art optimization techniques including speculative decoding, KV cache streaming, and advanced quantization methods like FP4/FP8.
  • NVIDIA is dedicated to making self-driving vehicles a reality with a mission to save millions of lives through innovative embodied AI technology.

Matching Summary

Match Score: 85

NVIDIA is seeking a Senior Deep Learning Software Engineer to work on model optimization and edge deployment for autonomous vehicles. The ideal candidate will have extensive experience in deep learning frameworks and optimizing large-scale models for real-time applications, with an emphasis on safety and performance.

Salary

Base: $184,000 - $287,500 USD (Level 4); Base: $224,000 - $356,500 USD (Level 5); Equity and benefits included

Skills & Requirements

Must-have

  • Deep Learning Model Optimization
  • PyTorch and TensorRT Proficiency
  • GPU Architecture and CUDA Expertise
  • Quantization and Pruning Techniques
  • High-Performance Inference Stacks

Nice-to-have

  • Custom CUDA Kernel Development
  • Open Source Library Contributions
  • Real-Time Robotics Safety Constraints
  • Low-Bit Inference Implementation
  • Embodied AI Research Experience

Key Requirements

  • PhD or MS with 4+ years experience
  • Expert proficiency in PyTorch or JAX
  • Deep familiarity with NVIDIA SDKs
  • Proven track record in production DL deployment

Work Rights

Not specified

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