Confidential (Registered Users Only) is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Confidential (Registered Users Only) has focused on building the Confidential (Registered Users Only) Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Confidential (Registered Users Only) Driver powers Confidential (Registered Users Only)’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Confidential (Registered Users Only) Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Confidential (Registered Users Only)'s Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.
Confidential (Registered Users Only) interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Confidential (Registered Users Only) for a fun and rewarding internship!
You will:
- Determine and author requirements and verification items for detection models that cover pedestrians near the Confidential (Registered Users Only) 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 - $85USD