[robotics-worldwide] Software Engineer (motion planning) position available at Stanford University

Brice Rebsamen brice.rebsamen at gmail.com
Tue Aug 20 14:12:07 PDT 2013


The Stanford Artificial Intelligence Lab is soliciting applications for 
a Robotics Software Engineer. The successful candidate will join the 
Stanford Autonomous Driving project led by Sebastian Thrun, to 
collaborate with a team of researchers developing, maintaining, and 
testing self-driving cars. Previous platforms developed by the team have 
won the prestigious DARPA Grand Challenge competition 2005 and finished 
second at the Urban Challenge 2007. In addition, the recent Google 
self-driving car project is built off of a significant part of our work.

The successful candidate will research, design, write, and test 
navigation and path-planning software for self-driving cars. They will 
implement navigation and path planning algorithms in C++ which interact 
with other modules (e.g. control, perception, localization.)  They will 
test navigation and path planning algorithms in simulation, and test 
software live on a self-driving car.


Qualifications

This position requires a minimum of an M.S. degree in Computer Science 
and Engineering or equivalent experience. High proficiency and several 
years of experience with programming and testing large C++ projects in 
Linux environments is essential. The candidate must have significant 
experience developing state-of-the-art path planning algorithms for 
mobile robots, both in simulation and on physical platforms. Familiarity 
with vehicle control algorithms is a plus, but not required. Experience 
with ROS would be helpful. Previous scholarly publications in the field 
of robotic navigation and path-planning are desirable. The candidate 
should demonstrate the ability to work under minimal supervision, 
develop and implement algorithms, and test the performance and 
reliability of their code. The successful candidate will be highly 
enthusiastic and willing to adapt his/her work to meet the needs of a 
dynamic team.

Apply online: 
https://stanford.taleo.net/careersection/2/jobdetail.ftl?job=14501

Brice Rebsamen
For the Stanford Autonomous Driving project


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