2027 Summer Intern, MS/PhD, Systems Engineer, Autonomous Vehicle Networks & Diagnostics
Quick Summary
Currently pursuing a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical/Automotive Engineering, Systems Engineering, or a related technical field.
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 Driver™—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.
- 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 workflows to rapidly prototype, test, and scale modular diagnostic and verification software.
- Collaborate Across Systems Engineering Customers: Partner with Systems Architects, Network Engineers, and Vehicle Security Engineers to analyze network data, troubleshoot integration issues, and refine multi-platform vehicle requirements.
- Currently pursuing a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical/Automotive Engineering, Systems Engineering, or a related technical field.
- Strong proficiency in Python for building modular software infrastructure, automated verification pipelines, and data analysis tools.
- High fluency with AI-based tooling and AI code generation: Very comfortable and experienced with coding and building end-to-end software projects using modern AI code generation tools.
- Solid foundational understanding of communication networks and protocols, ideally including CAN and CAN-FD.
- Hands-on experience with vehicle or embedded communication networks (CAN, CAN-FD, Automotive Ethernet) and diagnostic protocols, as well as Python network tooling (cantools, python-can).
- Basic understanding of cryptography and network security concepts (e.g., message authentication codes, cryptographic authentication, or secure embedded communications).
- Experience building automated test or verification pipelines (pytest, CI/CD) or working with hardware-in-the-loop (HIL) / embedded test benches.
- Hands-on experience in autonomous vehicles, robotics (ROS/ROS2), Formula SAE, EcoCAR, or embedded systems projects.
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
Location & Eligibility
Listing Details
- Posted
- September 25, 2026
- First seen
- September 25, 2026
- Last seen
- October 8, 2026
Posting Health
- Days active
- 13
- Repost count
- 0
- Trust Level
- 47%
- Scored at
- October 9, 2026
Signal breakdown
Waymo is an autonomous driving technology company with a mission to make transportation safe and accessible through self-driving solutions.
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