Waymo is looking to build a stable foundation for a high-level Perception pipeline and the overall self-driving system by providing technical leadership on the efficacy and efficiency of the core hardware abstraction layer and sensor integration.
Requirements
- 8+ years of experience in ML related software development
- 6+ years of experience in production systems involving sensor integration, data processing, or real-time perception.
- 4+ years of experience in a technical leadership role leading technical teams and setting technical directions
- 3+ years of experience with hardware-software interaction, sensor integration, or general robotics systems.
- Experience in robotics, autonomous systems, or related automotive industries.
- Experience with various sensor modalities (e.g., LiDAR, radar, cameras) and their unique challenges.
- Experience in model techniques and infrastructure
Responsibilities
- Provide technical leadership on the efficacy and efficiency of the core hardware abstraction layer and sensor integration.
- Collaborate closely with hardware and Perception teams to design, set the roadmap, and implement the foundational system that underpins Perception ML software stack.
- Work on and design end-to-end data flow and processing pipelines from sensors to the perception outputs, ensuring high performance and reliability.
- Solve large-scale data challenges related to sensor integration, calibration, and data consistency across diverse hardware configurations.
- Drive and accelerate collaborations between Perception, hardware teams at Waymo, and other Alphabet collaborators.
Other
- Master’s degree or PhD in Computer Science, Engineering, or a related technical field
- Passion to drive engineering excellence and efficient model development through flywheel automation, while having direct technical experience in model quality development to achieve business goals
- Familiarity with vision-based models and their development challenges
