Senior System Software Engineer - Deep Learning

Overview

NVIDIA DRIVE® embedded supercomputing platforms process data from camera, radar, and lidar sensors to perceive the surrounding environment, localize the car to a map, then plan and execute a safe path forward. This AI platform supports autonomous driving , in-cabin functions , and driver monitoring , plus other safety features—all in a compact, energy-efficient package. We need passionate, hard-working and creative people to help us tackle more of these challenging opportunities in Autonomous Driving and In-Car Infotainment.

What You’ll Be Doing

• Develop solutions around NVIDIA GPU and Deep learning accelerators to realize DNNs for ADAS Systems
• Optimize DNNs for the GPU and other hardware accelerators like DLA using CUDA/TensorRT
• Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs
• Conduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of DNNs
• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIA's automotive DNNs
• Responsible for the technical relationship and assisting the automotive customer in building creative solutions based on NVIDIA technology
• Collaborate with engineering teams in our US, APAC, India and Europe locations
  
  

• BS or MS degree in Computer Science, Computer Engineering or Electrical Engineering
• Experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.)
• 4+ years of experience in optimizing DNN Layers for GPU or other DSPs
• Proficiency in C and C++ and Data Structures
• Strong OS fundamentals and knowledge of CPU/GPU architecture
• Familiar with state-of-the-art CNN/LSTM/Transformers architecture
  
  

• Strong analytical and problem solving skills
• Background with NVIDIA software libraries such as CUDA and TensorRT
• Experience in automotive development processes like ASPICE or ISO26262
• Excellent communication and organization skills
• Understanding of the NVIDIA DRIVE or NVIDIA GPU hardware
  
  

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, expression, sexual orientation, age, marital status, veteran status, or disability status.

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