You will:- Determine and author requirements and verification items for detection models that cover pedestrians near the Waymo vehicle.
- Collect and analyze data from existing logs and/or structured tests to test these requirements and identify false-positive clusters.
- Run evaluations and triage results to track performance and identify release-over-release changes.
- Leverage the evaluation framework you build to highlight areas with headroom and help the Perception teams hillclimb.
You have:- Currently pursuing a PhD in a technical field, such as Engineering, Physics, CS, etc.
- Software engineering fundamentals
- Familiarity with systems engineering, particularly the logical flow of requirements to tests
We prefer:- Experience handling large data sets/queries (e.g., SQL, Python) and/or automating test flows
- Understanding of the fundamentals of an autonomous vehicle stack, including the data pipeline from sensors to Perception
- Existing knowledge/skills/experience related to the autonomous vehicle industry or other similar forms of automation
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.
Hourly PhD Pay
$85-$85 USD
