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.
This role supports the development of safe and reliable autonomy software by expanding simulation and real world autonomy software tests, data analysis, and creation of testing processes and tools. The position adds value by helping the team identify issues early, prioritize fixes, and ensure the robot performs well across a wide variety of real-world and simulated scenarios
Responsibilities
Design, build, and maintain frameworks to test and validate autonomy software systems (e.g., perception, localization, planning, and control)
Develop tools and scripts for log, and real-time analysis of autonomy stack behavior
Create, configure, and maintain simulation environments to test edge cases, failure recovery, and regression scenarios
Collaborate with autonomy engineers to define system-level test plans and develop custom tools that integrate into the development pipeline
Analyze system logs and telemetry to identify root causes of autonomy behavior issues and contribute to debugging
Author and maintain test cases as part of structured software validation plans, with traceability
Exercise independent judgment in selecting testing strategies, tooling approaches, and data collection methods to meet safety and coverage goals
Write technical documentation to support autonomy testing infrastructure and data analysis processes
Create and maintain test cases for new autonomy features (like detecting obstacles or stopping at crosswalks)
Coordinate testing schedules across simulation, field testing, and software sprints
Own and maintain technical reports for autonomy bugs with clear reproduction steps and analysis
Work with engineers, QA, and field teams to make sure tests reflect real-world situations and robot challenges
Qualifications
Bachelor’s degree in a technical field (e.g., Engineering, Computer Science, Robotics, or related discipline)
2–3 years of professional experience in a robotics, QA, test engineering, or autonomy-related role
Experience working with Linux-based systems and command line tools
Scripting knowledge (Python, Bash, or similar) to help automate tasks and organize data
Experience with task management tools (e.g., Jira, Notion) and test tracking systems
Organized and detail-oriented with a focus on reliability and safety
Comfortable working in a fast-paced, test-driven environment
Understanding of basic software development workflows, version control (e.g., Git), and CI systems
What Makes You Standout
Exposure to working with mobile robotics platforms or autonomy stacks (e.g., localization, perception, or planning)
Familiarity with analyzing log files, simulation outputs, or autonomy metrics
Prior experience coordinating field tests or working with test setups
Interest in robotics safety, testing at scale, or data-driven performance evaluation
Additional Information
This role may require occasional travel to test sites or field deployments (<10%)
Candidates should be comfortable working near autonomous robots and test equipment
Some flexibility in work hours may be needed during release cycles or field operations
