Senior Data Engineer, ML Infrastructure

Position Overview

At Serve Robotics, we’re reimagining city mobility with our personable sidewalk robot designed to simplify deliveries and benefit local businesses. As a Senior Data Engineer on our Machine Learning Infrastructure team, you will build a petabyte-scale data platform supporting ML and autonomy innovations, directly driving new revenue through the commercialization of robot data.

Key Responsibilities

• 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, maintain a universal data catalogue of raw robot data, and develop cost monitoring, attribution, and alerting systems.
• Develop data discoverability features using ML models to generate new attributes and maintain efficient, highly scalable search indexes.
• Set up data access audit trails with strong security controls managed through Infrastructure as Code (IaC) and expose data lineage to internal consumers.

Required Qualifications

• 5+ years of professional experience in software or data engineering.
• Strong programming proficiency in Python and 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, data privacy, and security best practices.

Preferred Qualifications

• Experience setting up IaC to orchestrate cloud resources and security policies.
• Familiarity with GCP and fully managed cloud infrastructure.
• Knowledge of robotics data such as LiDAR, multi-modal camera, and mapping.
• Experience in a fast-paced startup environment.
• Expertise in building and optimizing terabyte-scale data pipelines.

Benefits & Perks

• Compensation Range: $185K - $235K