Our Calibration, Localization, and Mapping (CLAMS) team is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. Without precise calibration, localization, and mapping, our vehicles would be at a disadvantage when it comes to perceiving and reasoning about the surrounding world, and this is therefore foundational in enabling results from many other teams across Zoox.
This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for engineers who are ambitious and excited about helping Zoox deliver on its goals to deliver autonomous mobility.
In this role, you will:
Design and develop large distributed mapping systems that process sensor data across hundreds of compute nodesArchitect scalable data pipelines and orchestration frameworks to improve system throughput and reliabilityIdentify and resolve performance bottlenecks in distributed workloads, optimizing for latency and resource utilizationLead technical design reviews and mentor engineers on best practices for distributed systemsCollaborate with cross-functional teams to define system requirements and technical roadmapsContribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation
Qualifications
Bachelors or higher in Computer Science or related field6+ years of industry experience working on distributed systemsFluency in C++ and PythonExperience with containerization and orchestration (Docker, Kubernetes)Experience with AWS services (S3, EC2, Lambda, SQS, DynamoDB)
Bonus Qualifications
Experience with geographic data and 3D meshesExperience with relational databasesBackground in robotics, autonomous systems, or geospatial data processingExperience with software profiling and performance tuning
