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 SystemsOptimize DNNs for the GPU and other hardware accelerators like DLA using CUDA/TensorRT Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAsConduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of DNNsStay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIA's automotive DNNsResponsible for the technical relationship and assisting the automotive customer in building creative solutions based on NVIDIA technologyCollaborate with engineering teams in our US, APAC, India and Europe locationsWhat 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.)12+ years of experience in optimising DNN Layers for GPU or other DSPsProficiency in C and C++ and Data StructuresStrong OS fundamentals and knowledge of CPU/GPU architectureFamiliar with state-of-the-art CNN/LSTM/Transformers architectureWays to stand out from the crowd:Strong analytical and problem solving skills, with good attention to detailsBackground with NVIDIA software libraries such as CUDA and TensorRTExperience in automotive development processes like ASPICE or ISO26262Excellent communication and organization skills, good time management and task prioritisationOpen source project ownership or contribution, GitHub repositories, guiding and/or mentoring experienceWe 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.