About the Company: Backed by Uber and NVIDIA, Serve Robotics develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and economical. Spun off from Uber in 2021 as an independent company, Serve has completed tens of thousands of deliveries for enterprise partners such as Uber Eats and 7-Eleven. The company has scalable multi-year contracts, including a signed agreement to deploy up to 2,000 delivery robots on the Uber Eats platform across multiple U.S. markets. Over 40% of restaurant deliveries in the US are within 30 minutes walking distance, yet 90% of the time, we are moving two-pound burritos with two-ton cars We are reimagining how things move in cities. Our personable sidewalk delivery robot, Serve, is a small, low-speed self-driving vehicle that's designed to take deliveries away from congested streets to save energy and reduce emissions, while making deliveries faster and cheaper. Having completed thousands of commercial deliveries for Postmates (now Uber) in Los Angeles and San Francisco, we recently spun out with backing from top tier investors to grow faster and target the entire sidewalk delivery market. Our commercial agreement with Uber provides us unlimited access to delivery jobs— and thus revenue. Responsibilities: Designing and implementing core pieces of our next generation mapping and localization engine Building a mapping system that scales to city-size environments Collaborate to improve Mapping annotation tooling and consumption of data by neural network based approaches for safe traversable area navigation Build estimators and RTK capable GPS data in robot to remove the uncertainty in it's global localization Working closely with other autonomy team members to maximize the utility provided by mapping and localization Shipping production quality code, participating in code reviews, teaching / mentoring more junior engineers What you bring: 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 complex system that still works A desire to answer the question "How much value is my code providing?" by designing the appropriate metrics and running experiments Good verbal and written communication skills As a plus: Experience building cloud applications Experience with very large geospatial datasets Experience with CUDA programming Experience with real sensors, such as lidar, camera, RGB-D, etc. Perks: Opportunity to work on cutting-edge technologies and contribute to innovative projects. Flex PTO for any reason, including sick days (no specified limits), flexible work schedule. Personal laptop. Health and wellness package. Remote work.
