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SeniorFull-timePythonC++AWSKubernetesDockerMachine Learning
Salary Range
$242,000 - $333,000 /year
About the Role
The Calibration, Localization, and Mapping (CLAMS) team at Zoox 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. This role is critical for scaling autonomous driving in a safe and reliable way.
Key Responsibilities
- →Design and develop large distributed mapping systems that process sensor data across hundreds of compute nodes
- →Architect scalable data pipelines and orchestration frameworks to improve system throughput and reliability
- →Identify and resolve performance bottlenecks in distributed workloads, optimizing for latency and resource utilization
- →Lead technical design reviews and mentor engineers on best practices for distributed systems
- →Collaborate with cross-functional teams to define system requirements and technical roadmaps
- →Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation
Requirements
- ✓Bachelors or higher in Computer Science or related field
- ✓6+ years of industry experience working on distributed systems
- ✓Fluency in C++ and Python
- ✓Experience with containerization and orchestration (Docker, Kubernetes)
- ✓Experience with AWS services (S3, EC2, Lambda, SQS, DynamoDB)
