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Summer Intern, MS​/PhD, Systems Engineer, Autonomous Vehicle Networks & Diagnostics

Remote / Online - Candidates ideally in
Mountain View, Santa Clara County, California, 94039, USA
Listing for: We Love AI Jobs
Full Time, Seasonal/Temporary, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Python, Software Engineer
Salary/Wage Range or Industry Benchmark: 56000 USD Yearly USD 56000.00 YEAR
Job Description & How to Apply Below
This internship develops monitoring, diagnostics, and verification software for communication networks across Waymo’s autonomous vehicle platforms. The work also includes security checks and using AI-based code-generation tools to build and test software.
* Internship* Hybrid
* Internship* MS or PhD in progress### Skills and expertise

Python CANCAN-FD Automotive Ethernetcantoolspython-canpytestCI/CD### Key responsibilities
* Build Python infrastructure for real-time vehicle network diagnostics and health monitoring.
* Develop automated pipelines to verify network communications, diagnostics, and system health.
* Create monitoring workflows for in-vehicle security mechanisms and analyze network performance.## How this job compares

Compared with 136 open intern engineering jobs on October 10, 2026.Pay:
This job does not publish its pay. The 10 open intern engineering jobs that publish US pay start at $56K a year on average.

Similar open jobs:
We Love AI Jobs lists 136 open intern engineering jobs at 55 companies.

Remote work:
This job is hybrid. 3 of the 136 intern engineering jobs (2%) are remote.

AI in this role:
Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role centers on vehicle networks and diagnostic software, not AI systems. It explicitly calls for leveraging AI-based developer tooling and code generation in software development.## Full description

Waymo 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, Waymo has focused on building the Waymo Driver—The World's Most Experienced DriverTM—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases.

The Waymo 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.

Waymo Hardware Systems Architecture defines and validates the foundational electrical, communication network, diagnostic, software update, and cybersecurity architecture—the digital  nervous system —across multiple autonomous vehicle platforms. Sitting at the intersection of hardware and software co-design, we define vehicle-level network and security specifications and build the real-time diagnostic and automated verification infrastructure that keeps our fleet operating safely.

Waymo 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 Waymo for a fun and rewarding internship!

You will:
• Build Real-Time Network Monitoring & Diagnostics

Infrastructure: Design and build Python infrastructure to enable real-time diagnostics and health monitoring for vehicle communication networks (CAN, CAN-FD, Ethernet) across multiple autonomous vehicle platforms.
• Develop Automated Verification Pipelines:
Build automated verification and validation pipelines that evaluate vehicle network communication, diagnostic functionality, and system health across test benches and vehicle fleets.
• Monitor & Validate Security Mechanisms:
Create diagnostic checks and monitoring workflows for in-vehicle network security and cryptographic mechanisms, analyzing network performance and timing margins.
• Build Rapidly with AI Code Generation:
Leverage AI-based developer tooling and AI code generation…
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