Senior Software Engineer, Infrastructure Specialist
4 days ago
About the Role
Waymo is a leading autonomous driving technology company with a mission to be the most trusted driver. Our team is dedicated to building the Waymo Driver, the world's most experienced driver, to improve access to mobility while saving thousands of lives lost to traffic crashes.
The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can be applied to a range of vehicle platforms and product use cases. With over one million rider-only trips and tens of millions of miles driven on public roads, our team is looking for experienced infrastructure engineers to lead and help us take our system to the next level.
Key Responsibilities
- Software Architecture and Implementation: Ensure that our software is architected for reliability and implemented using advanced technologies and engineering best practices.
- Software Testing and Validation: Conduct software testing and validation, including the use of simulation and static analyzers to ensure that there are no reliability problems in our software that runs on the road.
- System Performance and Safety: Ensure that our system can produce safe driving plans in an allotted timing and compute budget, potentially for hundreds of people and cars around the self-driving car.
- Real-time Hazard Detection and Response: Be able to react and change direction at super-human latencies when there are new hazards detected by our perception system.
- Machine Learning Model Performance: Ensure our machine learning models are performing well on GPU/TPU and other hardware accelerators.
Requirements
- Education: BS in Computer Science, Electrical Engineering, Robotics, Physics, Math, or related field (or equivalent experience).
- Experience: 5+ years of industry experience designing and writing production code, 5+ years of experience in C++, Java, Rust, or other modern languages, and 5+ years of experience leading technical contributions and excellent engineering execution.
Preferred Qualifications
- FAANG-scale Infrastructure Experience: Experience designing, building, or maintaining FAANG-scale infra platforms.
- Scalable System Design: Experience building performant and easy to use scalable systems and tools.
- Machine Learning Model Inference: Experience with ML model inference performance and frameworks like CUDA and JAX.
- High-Reliability System Design: Experience designing or writing software for high-reliability systems, performance optimization, or productionizing deep learning models on GPU for low inference latency.
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