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.
Software Engineering in the Hardware organization is where software meets the physical world. The Waymo Embedded Software Engineering team develops the critical, safety-critical software running at the edge of the Waymo driver, interfacing directly with steering, braking, propulsion, power distribution, and vehicle sensors. You will develop the abstractions and business logic to safely control and manage autonomous vehicles across different vehicle platforms and OEMs. Operating under stringent real-time, deterministic, and fail-operational constraints, the team builds high-reliability onboard firmware and off-vehicle simulation tooling, having a direct and material impact on Waymo's ability to scale safely to more vehicles and cities.
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:
- Develop high-quality vertically-integrated C++ software systems (on-vehicle firmware and off-vehicle simulation/tooling) running at the edge of the Waymo driver.
- Contribute directly to the bring-up, validation, and debugging of next-generation compute platforms, peripheral drivers, and hardware-software interfaces for new vehicle platforms.
- Write robust unit tests (such as gTest) and Software-in-the-Loop (SIL) simulation fixtures to validate edge-case handling, system robustness, and fault containment.
- Analyze field data logs, vehicle telemetry, and simulation results to identify root causes and improve firmware performance.
- Participate in cross-functional engineering workflows, design discussions, and code reviews alongside experienced embedded and systems engineers.
You have:
- Enrolled in a BS or MS program in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related technical field.
- Strong programming foundation in C or C++, with a solid understanding of data structures, pointers, and memory management.
- High curiosity, a continuous learning mindset, and the enthusiasm to explore unfamiliar hardware architectures, tools, and codebases.
- Demonstrated problem-solving ability, debugging skills, and comfort navigating ambiguity when working with evolving platforms or prototypes.
- Familiarity with Linux development environments, command-line tools, and version control systems (e.g., Git).
We prefer:
- Embedded Systems and Real-Time Programming: Hands-on experience developing software for microcontrollers (such as ARM Cortex-M or Cortex-R), bare-metal environments, or RTOS with resource-constrained execution.
- Hardware Bring-Up and Lab Debugging: Practical experience with board bring-up, hardware-software integration, and lab instrumentation such as oscilloscopes, logic analyzers, and multimeters.
- Testing and Quality: Experience with C++ unit testing frameworks like Google Test (gTest) and test-driven development methodologies.
- Open Source and Student Team Experience: Active involvement in collegiate engineering teams (such as Formula SAE, Formula Electric, Baja SAE, robotics clubs) or open-source projects demonstrating dedication to crafting high-quality modern C++ software.
- Scripting and Tooling: Proficiency in Python for test automation, telemetry data analysis, or build scripting.
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.
