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Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles
- Seattle, Washington, United States
- Seattle, Washington, United States
Über
What You’ll Be Doing
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.
Take approaches from initial evaluation and experimentation all the way to shipping.
Define and collect training datasets.
Build training pipelines and real‑time inference run‑times (PyTorch, TensorFlow, TensorRT, Python, C++).
What We Need To See
PhD with 1+ year, or MS (or equivalent experience) with 5+ 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.
Ways To Stand Out From The Crowd
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000 - $241,500 for Level3, and $184,000 - $287,500 for Level4.
You will also be eligible for equity and benefits.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Sprachkenntnisse
- English
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