Aurora is looking to solve the problem of safely, quickly, and broadly delivering the benefits of self-driving technology. The Vehicle Data Management team specifically needs to address the challenges of offloading, ingesting, and scaling vast amounts of data, including sensor data, vehicle logs, simulations, models, and training sets, to support the development and commercialization of their Aurora Driver product.
Requirements
- Required programming skills: GoLang/Python
- General knowledge of backend software systems networking, load balancing, API gateways, system security, gRPC services.
- AWS infrastructure experience, including S3 and DynamoDB in a production commercial system
- Knowledge of database design, database management and database scalability.
- Knowledge about workflow orchestration pipeline - Kubernetes, CI/CD tooling.
- Comfortable working with Cloud Native services.
- Comfortable with Linux/other unix environments
Responsibilities
- Lead design and scaling of various data systems (both on- and offline) dealing with hundreds of petabytes of multimodal sensor collections, autonomy simulations, and ML datasets
- Help us 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
- Be a force multiplier across a diverse set of hardware and software engineers and proactively work together with stakeholders to achieve cross-departmental goals and satisfy company OKR.
Other
- BS/MS or PhD in Computer Science or a related field
- Minimum 5 years related experience
- Proficiencies with coding in C++
- Proficiencies with Linux system
- Experience with large scale distributed systems or microservice architectures
