Robotics Path Planning Engineering Jobs in Bangalore - Flux
Job Description
About the internship
Selected intern's day-to-day responsibilities include:
1. Build motion planning and decision-making systems for the self-driving vehicles, ensuring that the behavior of our vehicles is safe, smooth, and predictable to other road users
2. Develop and implement custom stacks based on requirements
3. Build robust solutions to cutting-edge driving problems
4. Improve how our vehicles act and react in complex and nuanced situations
1. Build motion planning and decision-making systems for the self-driving vehicles, ensuring that the behavior of our vehicles is safe, smooth, and predictable to other road users
2. Develop and implement custom stacks based on requirements
3. Build robust solutions to cutting-edge driving problems
4. Improve how our vehicles act and react in complex and nuanced situations
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 3rd Dec'20 and 7th Jan'21
3. are available for duration of 6 months
4. have relevant skills and interests
Other requirements
1. Even freshers can apply
2. Prior hands-on experience in deploying motion planning/control algorithms on autonomous vehicles
3. Hands-on experience with ROS, navigation stack, Ackermann steering based robots
4. Should be experienced with practical application of robotic path planning, motion planning algorithms
5. Should have an understanding of vehicle dynamics, modelling, and system identification techniques
6. Experience programming in C++ and with robust, safety-critical, efficient code
Perks
Number of openings-10
Certificate: Will be provided at the end of the Internship
Job Particulars
Role engineer core non it
Who can apply Freshers
Hiring Process Face to Face Interview
Employment Type0
Job Id1108072
Job Category Core Technical
Locality Address
State Karnataka
Country India
About Company
We are developing modular self-driving technology for new and existing commercial vehicles. Our goal is to make self-driving technology to the masses with affordable hardware and robust software built by a world-class team.
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