Nvidia Software Engineer Deep Learning – Autonomous Vehicles 

United States, Texas 

374217036

What you'll be doing:

• Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8)

• Apply various quantization methods of DNNs

• Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs

• Continuously improve inference speed, accuracy and power consumption of DNNs

What we need to see:

• A MS or PhD in Computer Architecture, Computer Science, Electrical Engineering or related field or equivalent experience

• 2+ years of work experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.)

• Strong Python and C/C++ programming skills

Ways to stand out from the crowd:

• Experience with NVIDIA software libraries such as CUDA and TensorRT

• Familiarity with sophisticated C++11/C++14 language features and CUDA kernel programming.

• Open source project ownership or contribution, balanced GitHub repositories, guiding and/or mentoring experience.