3 months ago
Foster City, CA, USA or San Francisco, CA, USASenior / Staff+
H1B sponsor
Base Salary
$254k - $350k/yr
Responsibilities
- Improve the cost efficiency, reliability, and performance of validation and simulation pipelines.
- Create production-grade APIs, SDKs, and tools for validating autonomous behaviors.
- Improve ML training pipelines supporting the autonomous behavior organization.
- Contribute to the architecture, reliability, efficiency, and capabilities of the pipeline framework.
- Maintain high availability for production systems and collaborate with autonomy engineers.
Requirements
- Bachelor’s degree in Computer Science or a related field and 8+ years of industry experience.
- Experience optimizing large-scale distributed systems for cost and efficiency.
- Experience with AWS or similar cloud providers.
- Proficiency with Python and familiarity with C++.
- Preferred: exposure to machine learning workloads such as training, inference, and data generation from a cost optimization perspective.
- Preferred: background in algorithmic optimization or performance investigation.
- Preferred: experience with Ray.io, particularly Ray Core and Ray Data.
Tech Stack
Categories
BackendData Engineering
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.