2027 Summer Intern, PhD, Perception Systems Engineering: Pedestrian Detection Precision
Waymo · San Francisco, California · San Francisco (US-SFO-MKT555)
CHECKED 7H AGO
Roboticsonsiteintern$177k
At a glance
Highlights
- Define verification cases for pedestrian detection models near Waymo vehicles.
- Analyze logs and structured tests to find false-positive pedestrian clusters.
- Build evaluation framework to track performance and guide Perception improvements.
What they offer
- Benefits programs subject to eligibility
Ideal candidate
PhD student in a technical field who enjoys systems thinking and data-driven validation and is passionate about safety and real-world autonomous driving impact. Collaborative teammate excited to partner with industry leaders and drive results.
Requirements
- Currently pursuing a PhD in a technical field such as Engineering, Physics, CS, etc.
- Software engineering fundamentals
- Familiarity with systems engineering, particularly requirements to tests flow
- Experience handling large data sets/queries (e.g., SQL, Python) and/or automating test flows
- Understanding of autonomous vehicle stack including data pipeline from sensors to Perception
- Knowledge/skills/experience related to autonomous vehicle industry or similar automation
- hiring process
- Resumes accepted on a rolling basis until filled; apply individually to top 3 roles of interest
Lab profile
About Waymo
Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.
What they build
- Waymo Driver
- Fully autonomous ride-hail service
Known for
- Large-scale driving simulation
- Simulation realism
- Quantitative evaluations
- Onboard autonomy models
Key facts
- Founded in 2009
- Started as the Google Self-Driving Car Project