Hybrid Summer Intern (MS/PhD): Pedestrian Perception

Waymo LLC; San Francisco (CA); Hybrid; USD 97,000 - 138,000; Full time

Benefits offered by this job

Benefits programs

Job summary

Waymo LLC in San Francisco, CA seeks a talented intern to join the Systems Engineering team. You will help shape detection model requirements, analyze data from logs and tests, and triage evaluations to monitor performance across releases.

Ideal candidates are pursuing a Master’s or PhD in a technical field, with solid software engineering fundamentals and familiarity with systems engineering processes. This hybrid onsite internship offers stakeholders access to Waymo’s autonomous driving

Qualifications

• Pursuing a Master’s or PhD in a technical field (engineering, physics, CS).
• Strong software engineering fundamentals.
• Familiarity with systems engineering and the flow from requirements to tests.

Responsibilities

• Define and author requirements and verification items for detection models covering pedestrians near the Waymo vehicle.
• Collect and analyze data from logs and tests to test requirements and identify false-positive clusters.
• Run evaluations and triage results to track performance and identify release-over-release changes.
• Leverage the evaluation framework to highlight areas with headroom and help the Perception teams hillclimb.

Skills

Software engineering fundamentals

Systems engineering familiarity

Education

Master's or PhD in Engineering/Physics/CS

Job description

Waymo LLC in San Francisco, CA seeks a talented intern to join the Systems Engineering team. You will help shape detection model requirements, analyze data from logs and tests, and triage evaluations to monitor performance across releases.

Ideal candidates are pursuing a Master’s or PhD in a technical field, with solid software engineering fundamentals and familiarity with systems engineering processes. This hybrid onsite internship offers stakeholders access to Waymo’s autonomous driving