Senior Staff Software Engineer - AI Data Infra Lead

July 26

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Description

• Responsible for designing the architecture and leading a team to build a robust data platform that powers all the next-gen AI Autonomous Vehicle applications in the company. • Ensure efficient storage, retrieval, data quality, consistency, and governance across the platform. • Collaborate with cross-functional teams to understand data requirements and design appropriate solutions. • Stay updated with the latest technologies and trends in data engineering, making recommendations for new tools and best practices. • Identify and resolve performance bottlenecks in data processing and storage. • Set a culture of engineering excellence within the team and work closely with the management and customer teams to balance between speed of delivery and quality of engineering artifacts.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • 8+ years of experience in data engineering or a related field, with at least 3 years in a technical leadership role. • Proficient in data architecture and design. • Extensive experience with data lake and data warehouse technologies (e.g., Hadoop, Spark, AWS S3, Redshift, Iceberg, Hive, Trino, etc). • Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink). • Strong programming skills in languages such as Python, Java, or Scala. • Experience with ETL tools and processes. • (nice to have) Knowledge of machine learning and AI technologies and their data requirements. • (nice to have) Experience with agile development methodologies. • (nice to have) Contributions to open-source projects or technical publications. • Proven ability to lead and mentor a team, manage projects, and drive technical initiatives. • Strong analytical and problem-solving skills. • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.