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.
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.
At Serve Robotics, we’re reimagining how things move through cities. We’re seeking a Robotics Engineer to lead the development of advanced autonomy features for semi-structured urban environments—such as sidewalks, intersections, and dense pedestrian pathways.
In this role, you’ll design and implement state-of-the-art algorithms that empower our robots to navigate complex scenarios with precision and safety.
Responsibilities
Develop and implement quick fix mitigations to address immediate Autonomy problems in the field.
Prioritize and plan the development of new features with the technical leads based on emerging needs and technological advancements.
Analyze and troubleshoot issues in navigation, localization, and perception systems.
Fine-tune machine learning models to adapt and perform optimally in new metropolitan areas and aid the technology development towards understanding generalization gap from AI systems.
Collaborate with cross-functional teams to ensure successful deployment and integration of robotics solutions.
Develop data collection pipelines to aid our perception stack, monitoring system performance of onboard autonomy and provide insights for continuous improvement.
Contribute to the full stack development of robotics solutions, ensuring robustness and scalability.
Qualifications
Bachelor’s degree in Robotics, Computer Science, Electrical Engineering, or a related field.
2+ years of experience with localization, perception, and navigation technologies.
Proven experience with machine learning and its application in robotics.
Proficiency in programming languages such as C++ and Python.
Experience with robotic frameworks like ROS is highly desirable.
Ability to work collaboratively in a fast-paced, dynamic environment.
What Makes You Stand Out
Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field.
2+ years of experience fine-tuning ML models and has worked in solving generalization gap 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.
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