MS/PhD Internship: Real-Time AV Network Diagnostics

Waymo LLC; Mountain View (CA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Hybrid onsite internship

Company benefits program

Job summary

Waymo LLC in Mountain View, CA is offering a hybrid onsite internship focused on building real-time network diagnostics infrastructure for vehicle networks, and developing automated verification pipelines. You will work with Systems Engineers, Network Engineers, and Vehicle Security Engineers to improve in-vehicle communications and security.

The role requires pursuing an MS or PhD in a technical field and strong Python skills, with experience in AI tooling and CAN/CAN-FD networks.

Qualifications

• Pursuing MS or PhD in a technical field such as EE, CE, CS, robotics, or related.
• Strong proficiency in Python for building modular software infrastructure and data analysis.

Responsibilities

• Build Real-Time Network Monitoring & Diagnostics Infrastructure for vehicle networks (CAN, CAN-FD, Ethernet).
• Develop Automated Verification Pipelines to evaluate network communication, diagnostics, and system health.
• Monitor & Validate Security Mechanisms within in-vehicle networks and cryptographic features.
• Build Rapidly with AI Code Generation using AI tooling to prototype and scale software.
• Collaborate Across Systems Engineering, Networks, and Vehicle Security teams to refine requirements.

Skills

Python

AI tooling

CAN/CAN-FD

Data analysis

Education

MS or PhD in Electrical Engineering / Computer Engineering / Computer Science / Robotics

Tools

cantools

python-can

Job description

Waymo LLC in Mountain View, CA is offering a hybrid onsite internship focused on building real-time network diagnostics infrastructure for vehicle networks, and developing automated verification pipelines. You will work with Systems Engineers, Network Engineers, and Vehicle Security Engineers to improve in-vehicle communications and security.

The role requires pursuing an MS or PhD in a technical field and strong Python skills, with experience in AI tooling and CAN/CAN-FD networks.