How to Get a Job in Robotics? Let NVIDIA and Udacity Train You to Create Software

Building robots isn’t just a hobby anymore. Now you can build a career creating the software that will make bots better.

Step one: enrol in Udacity’s Robotics Software Engineer Nanodegree programme.

NVIDIA’s Deep Learning Institute is now working with the online learning provider to develop a programme that will immerse students in the field of robotics, giving them career-ready skills.

Udacity Nanodegree programmes currently have 53,000 enrolled students, with more than 18,000 grads. Its free and unpaid courses have more than nine million enrolled students worldwide.


How to Get a Job in Robotics? Let NVIDIA and Udacity Train You to Create Software




SINGAPORE — December 1, 2017 — Building robots isn’t just a hobby anymore. Now you can build a career creating the software that will make bots better.

Step one: enrol in Udacity’s Robotics Software Engineer Nanodegree programme.

NVIDIA’s Deep Learning Institute is now working with the online learning provider to develop a programme that will immerse students in the field of robotics, giving them career-ready skills.

Udacity Nanodegree programmes currently have 53,000 enrolled students, with more than 18,000 grads. Its free and unpaid courses have more than nine million enrolled students worldwide.

Get with the Programme

Students in the two terms of Udacity’s Robotics Software Engineer Nanodegree programme will get hands-on experience developing solutions to tough robotics and AI problems.

Throughout the term, students will learn how to get their autonomous machines to understand the world around them, make decisions and plan next steps.

Focus areas include robotic systems deployment, localisation, SLAM, reinforcement learning for robotics, and path planning and navigation.

You’ll learn about hardware used in robotics, including the NVIDIA Jetson TX2. As a bonus, all eligible students enrolled in this programme get an education discount that can be applied to the purchase of a Jetson TX2.

Living on the Edge

The programme culminates with students building a simulated home service robot that can map, localise and navigate while performing household tasks — moving from room to room autonomously.

NVIDIA Jetson TX2 is the ideal platform for robotics, delivering high performance with low power. It’s able to process complex data onboard edge devices. So you can count on fast, accurate inference in robots, drones and more.


Jetson, a small but mighty AI supercomputer that is ideal for autonomous machines.

Apply Yourself

To successfully apply to Udacity’s Robotics Software Engineer Nanodegree programme, you’ll need a knowledge of foundational calculus, linear algebra, probability, statistics, basic physics and intermediate Python experience with intermediate C++, and knowledge of machine learning techniques (recommended not required).

The good news: once you’re in, you’re in. So be sure to continue for a second term with the programme once you’ve finished the first.

And if you think you have what it takes, take your newfound robotics skills and apply it to our Jetson Developer Challenge. The winners will score up to US$10,000 in cash and a possible trip to the GPU Technology Conference next March in Silicon Valley.

Sign up for the challenge, and apply for the Nanodegree programme.

About NVIDIA

NVIDIAs (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionised 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. More information at http://nvidianews.nvidia.com/.  

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