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 need to see:
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
Ways to stand out from the crowd:
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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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