Aurora aims to deliver the benefits of self-driving technology safely and broadly by creating a new era in mobility and logistics through the Aurora Driver. The company is seeking a Software Engineer to work on the Machine Learning Data Engine: Labels Platform team to support high volume data labeling operations, which are critical for autonomy performance.
Requirements
- BS / MS / PhD degree in Computer Science or a related field
- For non-CS majors or BS candidates, strong software experience (4+ years in industry)
- 4+ years of expertise with production backend services (Cloud, Kubernetes, DevOps)
- Experience with C++ and Python
- Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics
- Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch
- Supplementary programming languages: Golang, Typescript
Responsibilities
- Apply production best practices to ensure platform reliability
- Feature development for new labeling applications
- Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
- Apply ML Ops best practices to design processes for improving data coverage and quality
Other
- BS / MS / PhD degree in Computer Science or a related field
- For non-CS majors or BS candidates, strong software experience (4+ years in industry)
- Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
