Education: Bachelor's degree or related field
Experience: 5+ years
The Onboard Infrastructure Team is responsible for designing and developing the core infrastructure for Autonomous Driving Vehicle (ADV) systems, which includes perception, planning, and routing functionalities. This encompasses defining the architecture and frameworks used to implement these critical systems. Furthermore, the team manages the entire runtime environment for both on-car systems and large-scale simulation, focusing on end-to-end performance, reliability, and developer experience throughout the development lifecycle.
This is a hybrid position reporting to a Staff Engineer, Tech Lead Manager.
In this hybrid role, you will report to a Staff Software Engineer / TLM.
- Drive architectural and framework improvements to boost driving quality, performance, reliability, and enhance the overall developer experience.
- Gain a holistic understanding of the entire Waymo code lifecycle-from deployment on autonomous vehicles to running large-scale simulations-to ensure the highest quality across all operational environments.
- Architect, implement, and deploy essential C++ APIs responsible for critical functions such as asynchrony management, experimentation pipelines, multi-platform deployments, complex data extraction, debug tooling, and advanced system visualization.
- Act as a crucial resource for onboard teams, guiding them in setting up software for maximum efficiency, flexibility, scalability, and reliability, ensuring it meets Waymo's rapidly evolving needs.
- Significantly improve our internal tools, infrastructure, and development processes to accelerate engineering velocity while maintaining tight control over system complexity, performance, reliability, and developer experience.
- BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
- 5 years of experience as a software engineer or similar roles
- 3 years of experience working on a large-scale, high-complexity system (supporting hundreds of engineers)
- Experience in performance analysis, including profiling, benchmarking, and optimization
- Experience in improving software reliability and executing root cause analysis within complex software environments
- Experience building tools to enhance the developer experience
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