Nvidia
Senior Deep Learning Software Engineer - Autonomous Vehicles
Found: October 4, 2025
This role is based in Santa Clara, CA, with remote options available in TX, WA, and VA.
Compensation:
$148,000 - $287,500/year based on experience and level.
Responsibilities:
- Train, fine-tune, optimize, and customize perception DNNs in low precision (FP16/INT8).
- Apply sophisticated quantization of DNNs.
- Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs.
- Continuously improve inference speed, accuracy, and power consumption of DNNs.
- Stay updated with the latest research and innovations in deep learning.
Requirements:
- MS or PhD in computer science, computer vision, or equivalent experience.
- 5+ years of software development experience.
- 2+ years developing or using deep learning frameworks (e.g., PyTorch, TensorFlow).
- Strong Python and/or C/C++ programming skills.
- Experience with computer vision tasks using deep neural networks.
Tech stack:
Deep learning frameworks, NVIDIA GPUs, CUDA, TensorRT.