CareerPlan

2027 Summer Intern, PhD, Perception Systems Engineering: Pedestrian Detection Precision

San Francisco (US-SFO-MKT555)Internship2026-09-28 → 2026-11-10
Hybrid

Core

Define requirements and verification items for pedestrian detection models, analyze logs to identify false positives, and evaluate performance to guide Perception team improvements.

Role type

Summer intern, PhD-level systems engineering (perception)

Builds

Verification frameworks and evaluation metrics for autonomous vehicle perception systems

Domain

Autonomous driving / Perception systems

Deliverable

dashboards & analysis

Required skills

Systems engineering fundamentals, Requirements definition, Data analysis, Software engineering fundamentals

Preferred skills

SQL, Python, Large dataset handling, Test automation, Autonomous vehicle stack knowledge

Responsibilities

Author requirements and verification items for pedestrian detection models, Collect and analyze data from logs to identify false-positive clusters, Run evaluations and triage results to track performance, Leverage evaluation framework to highlight areas for improvement