Aurora is looking to solve the problem of efficiently managing and processing large amounts of data from multimodal sensor collections, autonomy simulations, and ML datasets to support the launch of 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 our multi-modal offline data
- Create internal products and best practices to help us become more efficient, transparent and innovative as we launch our commercial Aurora Driver product
- Mentor and grow our engineering team with new perspectives, technologies and designs
Other
- Proven leadership in product development and launch
- 8+ years of experience
- Bachelor's, Master's, or Ph.D. degree in Computer Science or related field (not explicitly mentioned but implied)
- Annual bonus, equity compensation, and benefits
