Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.We are now looking for an extraordinary deep learning expert in perception to develop and productize NVIDIA's autonomous driving solutions. As a member of our global perception team, you will work on building world class solutions for the most exciting perception problems in autonomous vehicles.You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.What You'll Be Doing:Design and develop a framework of innovative deep learning models that detect and track the dynamic obstacles, road hazards, and the static environments with accuracy and reliability.Identify and analyze the strength and weakness of the developed perception and fusion under complicated and diverse scenarios.Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.Define and develop meaningful performance metrics for the perception models, which guide the algorithm iterations and prevent regression with large-scale offline data sets.What We Need To See:BS/MS/PhD in CS, EE, sciences or related fields (or equivalent experience)5+ years of hands-on work experience in developing perception and fusion algorithms to solve sophisticated real world problems.Hands-on experience on at least one of mainstream DL frameworks such as PyTorch, TensorFlow, MXNet, and etc.Experience in data-driven development and collaboration with data and ground truth teams.Strong programming skills in modern C++.Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.Ways To Stand Out From The Crowd:Proven expertise in developing perception solutions for autonomous driving in mass production vehicles.Experience with GPGPU programming (CUDA or OpenCL).Background in multi-view geometry and/or BEV DNN modelsKeeping up with the latest deep learning research and having high-quality research papers published in the related domains.NVIDIA has some of the most forward-thinking and hardworking people in the world. If you're creative and autonomous, we want to hear from you!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, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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