Sr. Embedded Software Engineer, Robotics Platform

About this role

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, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries.

We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience.

Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Responsibilities Design, develop, test, and maintain robotics middleware and application frameworks using modern C++ on embedded Linux. Own significant platform components from technical design and implementation through validation, deployment, and operation across Serve’s robot fleet.

Partner with software teams using the robot platform to identify reliability, performance, and developer experience problems and deliver reusable solutions. Collaborate with Autonomy and Systems Engineering on risk assessments, failure analysis, fault-handling strategies, and software architecture. Translate system-level safety and reliability requirements into software behavior, interfaces, and verification strategies.

Develop instrumentation, benchmarks, logging, tracing, and fleet-level metrics to measure and improve software performance, reliability, and system health. Diagnose and resolve complex system-level issues involving concurrency, scheduling, interprocess communication, networking, and constrained compute resources. Evaluate technical tradeoffs and contribute to architectural decisions that improve the scalability, maintainability, and reliability of the robotics platform.