Location: San Francisco (San Francisco) posted: 09.26.24
Autonomy Engineer, Simulation, DoorDash, Inc., San Francisco, CA.
Design and implement autonomous agent stimulators including dynamic agent behaviors and scenario generation strategies. Designing and building pipelines for simulation based on robot data and/or synthetically generated scenarios and large-scale simulations in the cloud. Design and create metrics to evaluate robot performance. Collaborate with autonomy teams and operations to build tools for extensive simulation coverage, working together to ensure the safety of our autonomous vehicles. Research, design, and implement enhancements as a core member of the team and play an integral role on a small and focused team through research and development. Telecommuting permitted. (SWESIM-S-102-CA)
Master’s degree (or foreign equivalent) in Computer Science, Robotics, Engineering (any) or related technical field and three (3) years of experience in the field of robotics, machine learning, autonomous vehicles, or a related occupation.
In the alternative, employer will accept a Bachelor’s degree (or foreign equivalent) in Computer Science, Robotics, Engineering (any), or related technical field and five (5) years of progressive, post-bachelor’s experience in the field of robotics, machine learning, autonomous vehicles, or a related occupation.
Qualifying experience must include the following skills (which may be gained concurrently);
Domain knowledge in either of the following: Simulation, game development or robotics
Designing, implementing and extending algorithms;
Writing Product level C++ Code;
Automation, Vision, and Robotics;
Data structures
Up to 10% travel (domestic) based on business need.
To apply, please send resumes to workwithus@doordash.com. Must reference job code SWESIM-S-102-CA to be considered.
Autonomy Engineer, Simulation, DoorDash, Inc., San Francisco, CA.
Design and implement autonomous agent stimulators including dynamic agent behaviors and scenario generation strategies. Designing and building pipelines for simulation based on robot data and/or synthetically generated scenarios and large-scale simulations in the cloud. Design and create metrics to evaluate robot performance. Collaborate with autonomy teams and operations to build tools for extensive simulation coverage, working together to ensure the safety of our autonomous vehicles. Research, design, and implement enhancements as a core member of the team and play an integral role on a small and focused team through research and development. Telecommuting permitted. (SWESIM-S-102-CA)
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. $202,883.00 - $261,600.00/yr.
MINIMUM REQUIREMENTS:
Master’s degree (or foreign equivalent) in Computer Science, Robotics, Engineering (any) or related technical field and three (3) years of experience in the field of robotics, machine learning, autonomous vehicles, or a related occupation.
In the alternative, employer will accept a Bachelor’s degree (or foreign equivalent) in Computer Science, Robotics, Engineering (any), or related technical field and five (5) years of progressive, post-bachelor’s experience in the field of robotics, machine learning, autonomous vehicles, or a related occupation.
Qualifying experience must include the following skills (which may be gained concurrently);
Up to 10% travel (domestic) based on business need.
To apply, please send resumes to workwithus@doordash.com. Must reference job code SWESIM-S-102-CA to be considered.