Summary
Nuro is a self-driving technology company focused on making autonomy accessible to all, utilizing cutting-edge AI and automotive-grade hardware. The role involves designing and developing scalable data processing systems and infrastructure to support autonomous driving systems, ensuring data integrity and performance metrics are effectively managed and presented.
Responsibilities
- Design and develop unified, introspectable, large-scale batch and streaming data processing systems that can ingest and process data across a wide range of use cases relevant to evaluation
- Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics
- Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions
- Design and develop comprehensive end-to-end data pipelines that streamline the flow from data ingestion to final consumption
- Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines
Skills
- B.Sc or M.Sc. plus 1+ years of relevant work experience
- Strong proficiency in Python, C++, or similar languages
- Domain experience: Experience working with large scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
- Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
- A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field
- Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
- Knowledge of data engineering, and its tooling and best practices
- Knowledge of batch and streaming data processing, warehousing, and analytics solutions
- Experience working with large scale distributed data systems
- Experience with system & framework design
- Experience with data workflow orchestration platforms
Qualifications
Must Haves
- B.Sc or M.Sc. plus 1+ years of relevant work experience
- Strong proficiency in Python, C++, or similar languages
- Domain experience: Experience working with large scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
- Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
- A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field
Nice to Haves
- Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
- Knowledge of data engineering, and its tooling and best practices
- Knowledge of batch and streaming data processing, warehousing, and analytics solutions
- Experience working with large scale distributed data systems
- Experience with system & framework design
- Experience with data workflow orchestration platforms
Benefits
- Annual performance bonus
- Equity
- Competitive benefits package