2027 Summer Intern, MS/PhD, Systems Engineer, Autonomous Vehicle Networks & Diagnostics at Waymo

<div class="content-intro"><p>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.</p></div><p><strong>Waymo Hardware Systems Architecture</strong> 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.</p> <p>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!</p> <p>&nbsp;</p> <p><strong>You will:</strong></p> <ul> <li><strong>Build Real-Time Network Monitoring &amp; Diagnostics Infrastructure</strong>: 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.</li> <li><strong>Develop Automated Verification Pipelines</strong>: Build automated verification and validation pipelines that evaluate vehicle network communication, diagnostic functionality, and system health across test benches and vehicle fleets.</li> <li><strong>Monitor &amp; Validate Security Mechanisms</strong>: Create diagnostic checks and monitoring workflows for in-vehicle network security and cryptographic mechanisms, analyzing network performance and timing margins.</li> <li><strong>Build Rapidly with AI Code Generation</strong>: Leverage AI-based developer tooling and AI code generation workflows to rapidly prototype, test, and scale modular diagnostic and verification software.</li> <li><strong>Collaborate Across Systems Engineering Customers</strong>: Partner with Systems Architects, Network Engineers, and Vehicle Security Engineers to analyze network data, troubleshoot integration issues, and refine multi-platform vehicle requirements.</li> </ul> <p>&nbsp;</p> <p><strong>You have:</strong></p> <ul> <li>Currently pursuing a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical/Automotive Engineering, Systems Engineering, or a related technical field.</li> <li><strong>Strong proficiency in Python</strong> for building modular software infrastructure, automated verification pipelines, and data analysis tools.</li> <li><strong>High fluency with AI-based tooling and AI code generation</strong>: Very comfortable and experienced with coding and building end-to-end software projects using modern AI code generation tools.</li> <li>Solid foundational understanding of communication networks and protocols, <strong>ideally including CAN and CAN-FD</strong>.</li> </ul> <p>&nbsp;</p> <p><strong>We prefer:</strong></p> <ul> <li>Hands-on experience with vehicle or embedded communication networks (<strong>CAN</strong>, <strong>CAN-FD</strong>, <strong>Automotive Ethernet</strong>) and diagnostic protocols, as well as Python network tooling (cantools, python-can).</li> <li>Basic understanding of <strong>cryptography and network security concepts</strong> (e.g., message authentication codes, cryptographic authentication, or secure embedded communications).</li> <li>Experience building automated test or verification pipelines (pytest, CI/CD) or working with hardware-in-the-loop (HIL) / embedded test benches.</li> <li>Hands-on experience in autonomous vehicles, robotics (ROS/ROS2), Formula SAE, EcoCAR, or embedded systems projects.</li> </ul> <p>&nbsp;</p> <p>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.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><div>The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.</div></div><div class="title">Hourly Masters Pay</div><div class="pay-range"><span>$70</span><span class="divider">&mdash;</span><span>$70 USD</span></div></div><div class="pay-input"><div class="description"><div>The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.</div></div><div class="title">Hourly PhD Pay</div><div class="pay-range"><span>$85</span><span class="divider">&mdash;</span><span>$85 USD</span></div></div></div>