About the role#
This is a full-time, paid internship for Summer 2027. You will work within the simulation evaluation team to build tools that help autonomy engineers analyze complex driving scenarios. This role is based in Mountain View, California, and operates on a hybrid, on-site schedule.
What you'll do#
- Design and implement an automated semantic extraction pipeline to parse large-scale simulation logs, vehicle trajectory data, and multi-agent events into structured graph representations.
- Develop temporal graph modeling techniques to capture time-varying multi-agent interactions, road context, and safety-critical driving events.
- Build a multi-modal hybrid retrieval engine that combines dense vector embeddings, keyword search, and graph traversal to enable fast scenario discovery.
- Create interactive data exploration tools and visualization dashboards for autonomy engineers and researchers.
- Benchmark retrieval precision, recall, and query latency against traditional tabular and relational search baselines.
- Collaborate cross-functionally with simulation researchers, machine learning engineers, and software infrastructure teams to document system architecture and establish roadmap recommendations.
What you'll need#
- Current enrollment in a graduate program (PhD or Master’s) in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a related field with at least one academic term remaining.
- Strong software development experience using Python or C++ in a Linux environment.
- A solid foundation in core computer science concepts, data structures, algorithm complexity, and distributed data systems.
- Hands-on experience with modern deep learning frameworks such as PyTorch, JAX, or TensorFlow.
- A research background or practical experience in Knowledge Graphs, Graph Algorithms, Graph Neural Networks (GNNs), or Information Retrieval/RAG.
- Experience with large-scale distributed data processing systems.
- Familiarity with temporal graphs, bi-temporal data modeling, or graph databases.
- Demonstrated interest in autonomous vehicle simulation, behavior prediction, motion planning, trajectory forecasting, or multi-agent interaction modeling.
- Authorship of published papers in top-tier AI, ML, data mining, or computer vision conferences is a plus.
Location & details#
- This position is located in Mountain View, California.
- The role is hybrid and requires on-site presence.
- Compensation is $70 per hour for Master's students and $85 per hour for PhD students.
- Benefits include medical, dental, and vision insurance, plus a housing or relocation bonus where applicable.
- On-site perks include meals, access to company shuttles, and gym access.
About Waymo
Waymo is a technology company that develops automated driving systems. It focuses on mobility and road safety through its Waymo Driver technology. The firm operates as a private organization and employs between 1,001 and 5,000 people. It was founded in 2009 and maintains its headquarters in Mountain View, California.
How to get in at Waymo
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