Staff Software Engineer

 

Description:

In this role, you will develop real-time motion and behavior planning algorithms that enable the autonomy of our fleet. This role will interface closely with the Pose, Perception, Prediction, and Controls teams to set companywide KPIs and produce the best in class, next-generation ADAS stack. At Rivian, we develop our systems from the ground up and in-house. We do this to give you the best possible tools at your disposal and make it easier to apply your knowledge to the difficult problems ahead. The ideal candidate will have strong experience in autonomous vehicles or robotics and a proven track record of being able to deliver to production.

Responsibilities:

  • Contribute to the research and development for features that encompass varying levels of autonomy.

  • Build out our existing planning stack as well as looking for improvements to take our planning in new directions.

  • Optimize motion planning for robustness, safety, and speed.

  • Implement motion planning algorithms on hardware with high quality and effective code.

  • Work across teams to define and lead ADAS (Advanced Driver Assistance Systems) feature sets.

  • Collaborate with Validation and Systems teams to define, measure, and validate KPIs.

Qualifications:

  • 5+ years of robotics, AV (Autonomous Vehicle), or other real-time, safety-critical planning experience

  • MS or PhD in Computer Science, Robotics, or other relevant Engineering disciplines

  • Ability to build solutions from first principles

  • Experience applying planning to real world problems

  • Strong C++

  • Background in motion planning with experience in graph planning, sampling methods, and optimal planning

  • Background in behavior planning with experience in temporal logic structures, classical planning, and reinforcement learning

  • Effective communication and collaborative skills

Organization Rivian
Industry IT / Telecom / Software Jobs
Occupational Category Staff Software Engineer
Job Location California,USA
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Experienced Professional
Experience 5 Years
Posted at 2023-11-18 1:51 pm
Expires on 2024-12-23