2027 Summer Intern, MS/PhD, Software Engineer, RO Performance team, Release Evaluation (Simulation)
Waymo
- Location
- Warsaw, Poland · Warsaw (PL-WAW-TFM)
- Type
- Internship
- Department
- Engineering
- Seniority
- Internship
- Education
- PhD
Description
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 builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.
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:
- Collaborate with the team to analyze experiment results, document findings, and help integrate the most successful strategies into production
- Prototype scheduling algorithms aimed at smoothing out computational load
- Run benchmarks to analyze the speed, throughput and resource efficiency of related systems, and specific implementations
You have:
- Currently pursuing a graduate degree (Master's or PhD) in Computer Science, Software Engineering, or a related technical field
- Solid foundation in computer science fundamentals, particularly in data structures & algorithms
- Strong software development skills with proficiency in at least one general-purpose programming language (e.g., C++, Java, Python) and SQL. Desire to learn and work extensively in C++
- Familiarity with or strong interest in foundational concepts related to distributed systems, data processing pipelines, or operating systems
- Familiarity with statistical concepts necessary for interpreting large datasets
We prefer:
- Strong general coding skills and the ability to write robust software. C++ proficiency is a strong plus
- Experience or coursework related to distributed systems, operating systems (specifically task scheduling), or data processing pipelines.
- Familiarity with software profiling and benchmarking
- Experience working with large datasets and utilizing data analysis tools to evaluate system performance.
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.
