Senior Data Engineer, ML Infrastructure

• Architect and implement robust, scalable data pipelines to process, synchronize, and package robotics data (e.g., LiDAR, camera, IMU, proprietary maps) for third-party consumption.
• Build a data processing and egress platform, ensuring the timely and accurate delivery of datasets according to strict partner SLAs.
• Create data lifecycle policies to control cloud data costs. Build and maintain a universal data catalogue of all raw robot data. Create cost monitoring, attribution and alerting systems.
• Build data discoverability platform features, use ml models to generate new attributes and maintain efficient, highly scalable search indexes.
• Setup data access audit trails and strong security controls managed through IaC. Create lineage maps and expose data traceability capabilities to internal consumers.

Your work will directly impact a new revenue stream through commercialization of our robot data and help grow robotic deliveries from surprising novelty to efficient ubiquity, taking deliveries away from congested streets and making deliveries available to more people.

• 5+ years of professional experience in software or data engineering.
• Strong programming proficiency in Python, SQL
• Hands-on experience building and maintaining large-scale data processing pipelines using cloud technologies
• Proficiency with data warehousing and ETL/ELT concepts
• Solid understanding of system design, along with data privacy and security best practices

No specific benefits, compensation, or perks mentioned in the job description.

Serve Robotics is reimagining how things move in cities with personable sidewalk robots designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. They are tech industry veterans solving real-world problems leveraging robotics, machine learning and computer vision with a mindful eye towards end-to-end user experience.