Senior Deep Learning Software Engineer – Autonomous Vehicles at Nvidia
🇺🇸 United States › California › Santa Clara (Posted Jun 5 2018)
About the company
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.”
TSE - Automotive Machine Learning team at NVIDIA is searching for extraordinary software engineers to develop and productize NVIDIA's deep learning solutions in autonomous driving vehicles. We need individuals with strong programming skills, a good understanding of deep learning based computer vision algorithms, HPC and/or embedded computing; as well as excellent communication and planning skills. You and other engineers in this team will help advance NVIDIA's leadership in applying deep learning to tackle a real world problem in autonomous driving domain.
What you'll be doing:
Train, fine-tune, optimize and customize NVIDIA's perception DNNs to meet automotive customer's needs
Continuously improve inference speed, 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.
You will work on bridging the gap between the autonomous driving deep learning research and its application in the real world automotive product
Build tools that will increase the productivity of teams developing deep learning training and inference software
NVIDIA's deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us pursue more of these rare opportunities.
Automotive Deep Learning Solutions Architect team at NVIDIA is searching for extraordinary engineers to develop and bring NVIDIA's deep learning solution to automotive customers. We need individuals with strong programming skills, a deep understanding of deep learning (algorithms & frameworks), HPC and/or embedded computing; as well as excellent communication and planning skills. You and other engineers in this team will help advance NVIDIA's leadership in applying deep learning to tackle a real world problem in autonomous driving domain.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you passionate about what you do, creative and autonomous, we want to hear from you!
Skills & requirements
What we need to see:
BS/MS or PhD degree in computer science, computer vision, computer architecture or related technical field
6+ years of work related experience in software development
2+ years of experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, Caffe, PyTorch, Theano, ONNX, etc)
Experience with solving a computer vision task using deep neural networks, such as object detection, scene parsing, image segmentation.
Python and/or C/C++ programming
Solid technical foundation in CPU and GPU architectures, containers (nvidia-docker), numeric libraries, modular software design
Familiar with state-of-the-art DNN/CNN architectures
Willing to take action and have strong analytical skills.
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
Strong written and oral communications skills with the ability to effectively collaborate with management, engineering and customers.
Strong teamwork and interpersonal skills
Ways to stand out from the crowd:
Experience with low precision inference, quantization, compression of DNNs
CUDA programming experience on Jetson/DrivePX2
Contributor in popular DL/ML open source project (please provide link to your github)
Published paper in one of the leading DL/CV conferences in the last 5 years (e.g. NIPS, ICML, ICLR, CVPR, ICCV, ECCV, etc)
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