2027 Summer Intern, MS/PhD, Systems Engineer, Autonomous Vehicle Networks & Diagnostics
Waymo · Mountain View, CA, USA
About this role
**Waymo — 2027 Summer Intern (MS/PhD), Systems Engineer — Autonomous Vehicle Networks & Diagnostics** Waymo is an autonomous driving technology company on a mission to be the world’s most trusted driver. Waymo’s Driver powers its fully autonomous ride-hail service and supports a range of vehicle platforms and product use cases. **Waymo Hardware Systems Architecture** defines and validates the foundational electrical, communication network, diagnostic, software update, and cybersecurity architecture across multiple autonomous vehicle platforms—building the real-time diagnostic and automated verification infrastructure that keeps the fleet operating safely. --- ## You will: - **Build Real-Time Network Monitoring & Diagnostics Infrastructure:** Design and build **Python** infrastructure for real-time diagnostics and health monitoring for vehicle communication networks (**CAN, CAN-FD, Ethernet**) across multiple platforms. - **Develop Automated Verification Pipelines:** Build automated verification and validation pipelines to 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:** Use AI-based developer tooling and AI code generation workflows to 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. ## You have: - 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 modular software infrastructure, automated verification pipelines, and data analysis. - **High fluency with AI-based tooling and AI code generation**—comfortable 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**. ## We prefer: - Hands-on experience with vehicle or embedded communication networks (**CAN, CAN-FD, Automotive Ethernet**) and diagnostic protocols, plus 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/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 is a **hybrid onsite** internship. Resumes are accepted on a rolling basis until the role is filled. To be considered for multiple roles, apply to each one individually (please apply to the top 3 roles you’re interested in). **Pay (expected hourly):** - **Hourly Masters Pay:** **$70–$70 USD/hr** - **Hourly PhD Pay:** **$85–$85 USD/hr**
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