Description
Zoox is looking for a software engineer to work on our workflow orchestration infrastructure and its supporting ecosystem of tools and developer experiences. This Airflow-like infrastructure is central to coordinating production data processing and machine learning workflows across multiple disparate applications and services, to be used by all Zoox software divisions, from data engineering to computer vision perception to simulation and more. This role requires someone passionate about automation, building production-grade tooling and learning ever growing technologies around data and ML use cases.
In this Role, You Will...
- Build and extend the Airflow-like infrastructure
- Collaborate with cross-functional teams to design and build various integrations and operators, such as integration with Zoox's in-house HPC infrastructure
- Improve tooling and leverage automation to provide a world-class developer experience for all of Zoox’s software teams
- Improve the workflow orchestration infrastructure for performance, reliability, and efficiency that power our diverse machine learning and data processing workloads
Qualifications
- Strongly proficient in Python
- Experience building cross-platform software with source control (Git)
- Experience with building production grade applications
Bonus Qualifications
- Experience with workflow orchestration systems such as Airflow
- Experience with human-readable data serialization language such as YAML
- Experience building highly available (three+ 9s) distributed systems
- Experience with CI/CD
- Knowledge of machine learning or data processing pipelines
Compensation
The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.
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