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.

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.

Role Overview

Join our innovative Autonomy team at Serve Robotics. We are seeking a dynamic Robotics Engineer to drive the expansion and generalization of our robotic systems across new urban environments.

Key Responsibilities

Analyze and troubleshoot issues in localization, perception, and navigation systems of our robots as it’s expanding to new markets / ODD’s and socialize the issues through technical deep dives.
Develop and implement quick fix mitigations to address immediate Autonomy problems in the field.
Prioritize and plan the development of new features with the leads based on emerging needs, technological advancements and fleet data.
Fine-tune machine learning models to adapt and perform optimally in new metropolitan areas and aid the technology development towards understanding generalization gaps from AI systems.
Collaborate with cross-functional teams to ensure successful deployment and integration of robotics solutions.
Develop data collection pipelines and metrics to aid our perception stack, monitoring system performance of onboard autonomy and provide technical insights for continuous improvement.
Contribute to the full stack development of robotics solutions, ensuring robustness and scalability.

Qualifications

Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field.
Strong understanding of localization, perception, and navigation technologies.
Proven experience with machine learning and its application in robotics.
Proficiency in programming languages such as Python and C++, or Rust.
Experience with robotic frameworks like ROS is highly desirable.
Ability to work collaboratively in a fast-paced, dynamic environment.

What Makes You Stand Out

Extensive experience fine-tuning ML models and has worked in solving generalization gaps for diverse urban settings/environments.
A track record of identifying and resolving complex robotics issues efficiently.
Strong problem-solving skills and a proactive approach to innovation.
Excellent communication and teamwork abilities.
Passion for the advancement and application of robotic technologies in real-world settings.