We are seeking talented motion planning engineers with experience in vehicle automation and mobile robotics to ensure that our autonomous cars deliver consistent, robust performance.
You will work on developing planning architectures and motion planning algorithms. The ideal candidate will be an expert in decision making and motion control theory and have experience developing production-quality software.
Design and implement on-road trajectory planning algorithm
Participate in cutting edge research in machine intelligence and machine learning applications
Develop solutions for real world, large scale problems
PhD or MS in related academic program or equivalent practical experience
2+ years of work experience in planning and / or control systems in vehicle automation or mobile robotics
Excellent programming experience in AT LEAST ONE of the following languages : C, C++, Python
Solid understanding on RRT, lattice-based planners, probabilistic robotics, and / or numerical optimization
Publications in top conferences / journals in a related field or equivalent experiences
Demonstrated ability to create real-time motion planning algorithms
Published at top tier journals / conferences in autonomous vehicles, intelligent transportation systems, or control
Background in control system design, dynamic system modeling, and experience in applying these disciplines to real-world systems.
Experience in SLAM, probabilistic filtering, and 3D data
Work with world class AI Engineers
Shape the landscape of autonomous driving
Competitive salary and benefits
Bonus / options / paid vacations / insurance
Daily breakfast, lunch, and dinner
Full Kitchen with unlimited snacks and fruits
Weekly team happy hour
Medical, Vision, and Dental insurance plan
Company 401(K) program
Company paid life insurance
Our client is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law.
Hiring, transferring and promotion practices are performed without regard to the above listed items.