Our Mapping team is responsible for building the algorithms and tools necessary to keep Zoox vehicles well calibrated, always aware of their location in the world, and aware of their environment. Without precise calibration, localization, and mapping, our vehicles would be at a disadvantage in perceiving and reasoning about the surrounding world, and this is therefore foundational to enabling results from many other teams across Zoox. This work is critical to scaling autonomous driving safely and reliably. We are looking for engineers who are ambitious and excited about helping Zoox achieve its goals of delivering autonomous mobility.
The Road Network Interface team owns road network data definition and data products for all consumers, including developer workflows, in-cluster training jobs, and on-vehicle real-time access. We are seeking a Software Engineer to develop the geometry algorithms behind these data products and the interfaces consumers use to access them - including network topology, road network data format, and validation.
In this role, you will...
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Develop and maintain the geometry algorithms that power our map data interfaces.
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Implement and maintain key parts of our mapping data format, validation frameworks, post-processing pipelines, and interfaces consumed by downstream customers.
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Collaborate with cross-functional teams across Zoox to ship features and grow the APIs that downstream consumers depend on.
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Create design documentation, test plans, and other supporting artifacts for the work you ship.
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Contribute to all phases of the software development cycle, including prototyping, requirements capture, design, implementation, and validation.
Qualifications
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Bachelor's or higher in Computer Science or related field
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3+ years of relevant industry experience
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Proficiency in C++
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Strong code-quality fundamentals - correctness, testability, modularity
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Strong mathematical skills, particularly in computational geometry
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Experience working with large data sets
Bonus Qualifications
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Experience working with geographic data, spatial acceleration structures, or surface meshes
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Familiarity with road network topology
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Knowledge of statistics and metric design
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Experience with software profiling or performance tuning