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Andrea Censi
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nuTonomy, a company that makes self-driving cars, is looking for Deep Learning Specialists.

## About nuTonomy ##

nuTonomy aims to be the first company in the world to launch an autonomous taxi system, and we are building up an awesome team to make this goal a reality.

nuTonomy is developing the first-of-its-kind complete solution for providing point-to-point mobility via large fleets of autonomous vehicles. This includes software for autonomous vehicle navigation, smartphone-based ride hailing, fleet routing and management, and teleoperation.

The company’s software has been tested in the U.S., Singapore, and Europe and is put through extensive trials on public roads. nuTonomy offers a unique opportunity to work closely with experts from a wide array of backgrounds to create ground-breaking technology with huge impact potential.

## About this Deep Learning Specialist position ##

We are looking for deep learning experts that will focus on architecting, training and analyzing deep neural networks to extract rich semantic information from multiple sensor modalities, with the goal of using the learned models in real-time for a variety of tasks, including object detection, scene segmentation, tracking & fusion, sensorimotor learning for calibration and fault detection, and behavior prediction. We are looking for experts with either (or both) academic or industry backgrounds.

In this role you would work closely with other deep learning, computer vision, and robot perception experts to build a fully-integrated perception stack. nuTonomy’s approach consists in tightly coupled perception and planning, so you will interact with experts in planning and control to “close the loop” on actual robots. nuTonomy’s goal is to create provably safe and efficient vehicles, so we particularly value a rigorous statistical background and expertise regarding providing rigorous bounds for the performance of neural networks.

To support your work, you will be able to use a state-of-the-art scalable computing, simulation, and testing environment, as well as a vast database of well annotated data from nuTonomy’s fleet of autonomous vehicles.

You will join an awesome group of motivated colleagues, both industry professionals as well as leading researchers from academia, who like to approach problems with both creativity and rigor, to push beyond the state of the art.

## Requirements ##

- M.Sc. in Machine Learning, Applied Mathematics, Statistics, Computer Science or related field.
- Ph.D.; or, equivalent industry experience.
- Experience of architecting, training and analyzing CNNs for at least one of the following applications:
* Object detection
* Image segmentation
* Sensor fusion
* Temporal fusion (tracking)
* Experience with Caffe, TensorFlow, MxNet, Keras, Theno or other deep learning frameworks.
* Excellent analytical, communication, and writing skills.
* Experience developing software as part of a team.
* Fluency in C++ or Python.

## Bonus ##

* Software development experience from industry.
* Experience in automotive or other real-time and embedded systems.
* GPU/CUDA programming skills.


See http://nutonomy.com/jobs.html for application instructions.

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Robots for daily activities - 2nd #ICRA16 trailer features bots that iron, cook, build, garden, and hold your coffee https://www.youtube.com/watch?v=qKl8qhlwr60
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Episode 1 of the ICRA Trailer. Yes, one paper actually had "DUCK" in the title.
The first of the ICRA trailers is out! This one's about flying machines https://www.youtube.com/watch?v=9XM7TlxWpLg
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MIT has a new advanced open-source class for self-driving cars: MIT 2.166 Autonomous Vehicles, also known as "Duckietown" - http://duckietown.com

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Duckietown #4, built in the Aerospace Control Laboratory
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