Lead Software Engineer, Data Infrastructure & Analytics

Serve Robotics • Los Angeles, CA

91d

About The Position

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. As Lead Software Engineer for Data Infrastructure and Analytics, you will design and scale the systems that power Serve’s robotics data platform. You’ll own the lifecycle of robot and cloud data, set technical direction, and mentor engineers to ensure our platform is a reliable foundation for analytics and operations. Your work will directly enable real-time robotics operations and analytics at scale.

Requirements

• 8+ years of professional software engineering experience, with at least 2 years in a technical leadership or lead engineer role.
• Experience building large-scale distributed systems handling petabytes of data per day.
• Proficiency in at least one of Python, Go, or C++.
• Proven experience building and operating large-scale, distributed data systems on a major cloud platform (GCP experience is preferred: GCS, BigQuery, Pub/Sub, Dataflow, etc.).
• Deep understanding of data processing, ETL/ELT, networking principles, and I/O optimization.
• Strong architectural skills, with the ability to design complex systems that are scalable, reliable, and maintainable.
• Demonstrated ability to lead technical projects from conception to production.
• Excellent mentorship skills and a passion for growing the capabilities of your team.
• Strong communication skills and the ability to drive alignment across multiple teams.

Nice To Haves

• Experience in robotics, IoT, or a similar field involving data offload from fleets of edge devices.
• Hands-on experience with data transformation and modeling tools like dbt.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
• Experience designing systems that must be resilient to network failures and other real-world interruptions.

Responsibilities

• Define and own the technical roadmap for the data infrastructure platform, making key architectural decisions and ensuring alignment with company objectives.
• Own the development of our resilient data offload system, ensuring the fleet can meet strict SLAs and maximally utilize depots' available bandwidth.
• Drive the creation of a centralized cloud service (Orchestrator) to manage bandwidth, prioritize data events, and coordinate offload activities across the entire fleet.
• Build and maintain the infrastructure for ingesting and transforming robot metrics into queryable tables (e.g., BigQuery) and analytics-ready models using tools like dbt.
• Implement robust monitoring and ensure the entire system is resilient to interruptions, with features like automatic rollover and data integrity verification.
• Mentor other engineers on the team, fostering best practices in system design, coding, and operational excellence.

What This Job Offers

• Career Level: Senior
• Number of Employees: 101-250 employees