RESPONSIBILITIES
- Build robust motion planning capabilities for driverless vehicles in urban environments while working alongside teammates with diverse expertise
- With a deep understanding of our software stack, develop tools, algorithms, and evaluation mechanisms to solve real-world motion planning challenges tailored for MaaS applications
- Live and breath software development best practices that produce maintainable code including automated testing, continuous integration, code style conformity, and code review
MINIMUM QUALIFICATIONS
- BS in computer science, robotics, or a related field
- Proficiency in C++ and Python
- Understanding of common software performance trade-offs and pitfalls
- Understanding of real-time, distributed, and parallel computing
- Communication skills with the ability to convey concepts clearly and precisely
NICE TO HAVES
- MS/PhD in computer science, robotics, or a related field
- Experience in system design including characterization of module functionality and requirements as a component within a complex real-time software system
- Experience in machine learning or mathematical optimization for robotics problems such as behavior prediction, decision making, and trajectory planning
- Experience evaluating machine learning based systems
- Familiarity with agile development methodologies and tools (e.g., JIRA, Confluence)
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