Senior System Software Engineer, Deep Learning

NVIDIA DRIVE® Embedded Supercomputing Engineer

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.

What We'd Like To See In You:

• BS/MS or higher 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.).
• 5+ 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.

Ways To Stand Out From The Crowd:

• Strong analytical and problem solving skills, with good attention to details.
• Background with NVIDIA software libraries such as CUDA and TensorRT.
• Experience in automotive development processes like ASPICE or ISO26262.
• Excellent communication and organization skills, good time management and task prioritization.
• Open source project ownership or contribution, GitHub repositories, guiding and/or mentoring experience.
• Understanding of the DRIVE or NVIDIA GPU hardware.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and proactive, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.