Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles
NVIDIA•Redmond, CA
•Onsite
About The Position
NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI company”. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
Requirements
- PhD with 4+ years or MS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Proven experience building robust software.
- Passionate about Artificial Intelligence for robotics and autonomous navigation
- Strive to learn new things and like solving hard problems
- Math knowledge
- Experience in Deep Learning / Machine Learning.
- You have a background in Computer vision and/or Planning/Control.
- Programming and debugging skills in C++ and/or Python.
- Good communication and analytical skills.
- Ability to work with multiple teams in a dynamic environment.
Nice To Haves
- Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems
- Experience with Unsupervised or Self-supervised Learning
- Involvement with architecture optimization, pruning, curriculum & multi-task training
- Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training.
Responsibilities
- Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
- Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.
- Taking approaches from initial evaluation and experimentation all the way to shipping.
- Defining and collecting training datasets.
- Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).
Benefits
- highly competitive salaries
- comprehensive benefits package
- equity
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
