Search Jobs
Data Engineer
Job Description
JOB DESCRIPTION
This company is looking for a Data Engineer to help evaluate machine learned perception error models in order to justify and enable this driverless future. In this role, you will fuel our perception system’s verification & validation efforts through mass simulation and data analysis. You will work with cross-functional teams to mine driving data, create and integrate statistical error models of the real world perception systems, automate the pipeline of error injected simulations, and draw conclusions from simulation. Your work will help identify areas for improvement in the perception stack to accelerate the development of software driving on public roads.
Responsibilities:
- Build and integrate statistical error models based on mined data
- Automate the perception error integration pipeline
- Simulate large-scale driving scenarios with errors learned by statistical models
- Develop tools to quantitatively measure the AI stack performance
Qualifications:
- Python proficiency with an emphasis on pandas and numpy
- Solid statistics background
- Experience with automating workflows building software pipelines
- Familiarity with the best practices, code reviews, and code quality of software companies including industry tools like GitHub and Reviewable
- Prefer experience with debugging skills (ie debugging large ensembles of worker runs)
Bonus qualifications:
- Familiarity with perception, prediction and motion planning
- Experience with complex system modeling, fault injection, and error analysis - autonomous vehicle domain preferred
- Experience with C++ and protobufs
- Experience with computing clusters or AWS/cloud computing
- Experience with software verification