2 months ago
Base Salary
$185k - $251k/yr
Responsibilities
- Apply distributed computing algorithms to analyze petabytes of urban driving data.
- Develop metrics and tools to analyze errors and system improvements.
- Evaluate Collision Avoidance System performance with CAS engineers.
- Collaborate with Perception engineers to define metrics for autonomous driving.
- Partner with Planning engineers to measure performance in complex urban environments.
Requirements
- Bachelor’s, master’s, or doctoral degree in computer science or a related field.
- Fluency in C++ and/or Python.
- Extensive experience with programming and algorithm design.
- Preferred experience analyzing latency for safety-critical software systems.
- Preferred experience with petabyte-scale distributed computing using Spark, Databricks, or generic MapReduce pipelines.
- Preferred background in Bayesian statistics.
Tech Stack
Categories
Robotics
About Zoox
Zoox builds a fully autonomous, purpose-built electric vehicle and the end-to-end platform to operate it as an urban robotaxi service. The company designs the vehicle, self-driving software, and fleet operations in-house to offer mobility-as-a-service rather than selling cars. Founded in 2014 and headquartered in Foster City, California, Zoox is a subsidiary of Amazon.