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What you will be doing:
Develop reliable, redundant, and safety-critical algorithms for behavior and motion planning on highways and urban roads
Work on fundamental problems in redundant actuation, degraded operation, and fail-safe control
Architect, design, and implement new behavior planning features based on product driven requirements
Test and validate the functionalities in various scenarios in the simulation environment as well as on the road
Craft an autonomous system with safety concept that works in multiple different settings, e.g. geographical regions, sensors, map availability, and diverse environmental conditions
Collaborate with a diverse group of engineers of other domains including perception, mapping, vehicle control, and user experience
What we need to see:
BS or higher in an engineering technical field (Computer Science, Electrical, Mechanical, Physics, etc.) or equivalent experience
8+ years proven experience in software development
Must have applied robotics experience
Good understanding and working knowledge of C/C++
Familiarity with Python
Comfortable developing in Linux or another Unix based system
Ability to think analytically and take on technical problems in a compute constrained system
Ability to multitask and prioritize tasks.
Excellent interpersonal skills
Ways to stand out from the crowd:
2+ years of experience in AV software development and deploying code in production
PhD in a relevant field or related research experience
Deep level understanding of planning algorithms and/or having a controls background
Knowledge of CUDA is a plus
You will also be eligible for equity and .
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