Aurora is looking to improve the discoverability, throughput, and latency of their multi-modal offline data and launch their commercial Aurora Driver product.
Requirements
- Experience designing and deploying customer-facing large-scale data management systems
- Experience with development and deployment of ML pipelines & infrastructure
- 8+ years of AWS infrastructure experience, including S3, Aurora, and SQS/SNS in a production environment
- 5+ years of Golang development experience
- 8+ years of C/C++ experience
- 8+ years of Python development experience
- 8+ years of RDBMS experience
Responsibilities
- Lead design and development of data systems (both on- and offline) dealing with hundreds of petabytes of multimodal sensor collections, autonomy simulations, and ML datasets
- Help improve the discoverability, throughput, and latency of multi-modal offline data
- Create internal products and best practices to help become more efficient, transparent and innovative as we launch our commercial Aurora Driver product
- Mentor and grow the engineering team with new perspectives, technologies and designs
Other
- Proven leadership in product development and launch
- 8+ years of experience
