United States onlyAt 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.
There's undeniable demand for cheap, fast and reliable deliveries (pick all three!) across all delivery companies, restaurant chains and individual restaurants.We want Serve to help all of them. To accomplish this, Serve needs autonomous driving and routing capabilities build on top of robust, scalable maps, as well as high quality real-time localization to make use of these maps. We are a small but highly capable team, so the impact of your work will be considerable.
Key Responsibilities
Design and implement core pieces of our next generation mapping and localization engine
Build a mapping system that scales to city-size environments
Collaborate to improve map annotation tooling and consumption of data by neural network based approaches for safe traversable area navigation
Fuse motion and position estimates to reduce uncertainty in global localization
Work closely with other autonomy team members to maximize the utility provided by mapping and localization
Ship production quality code, participate in code reviews, teach / mentor more junior engineers
Qualifications
Master’s in Robotics focused in localization and mapping with 5+ years of experience or PhD with solid research background that can be applied to practical robotic solutions in localization and mapping.
A deep understanding of SLAM systems
Strong C++ programming skills
The ability to design and build a simple system that works, and having it gradually evolve into a elegant system that scales
Strong verbal and writing communication skills
What makes you standout
Experience with real sensors, such as lidar, camera, RGB-D, etc.
Experience with CUDA programming
Experience with very large geospatial datasets
Experience building cloud applications
Building infrastructure for labeling and maintaining HD maps
