Optimus Ride is a self-driving vehicle startup working to enable safe, sustainable, and equitable mobility solutions. Our mission is to transform cities and pave the way for a more sustainable future through the introduction of self-driving technologies.
Optimus Ride headquarters are located in the Boston Seaport District. Our team hails from a diverse set of backgrounds, and cumulatively has decades of experience building self-driving vehicles, electric vehicles, manufacturing robots, surgical robots, autonomous drones, underwater robots, and more. We aim for a highly collaborative, hands-on, and open environment where peers learn from each other while building technologies for real-world environments.
Transportation is for everyone, and we create a better product when our team reflects our users. We constantly strive for a culture where under-indexed groups are welcome and can flourish.
Optimus Ride software engineers create the software at the heart of our vehicles and systems. Our software needs to process complex dataflows and make decisions with real world consequences. We are looking for engineers who bring deep expertise in enabling vehicles and robots to perceive and understand the world around them.
Our team is focused on a rapid path to market in order to maximize the benefits of self-driving technologies for all. To do this, we need our engineers to be versatile, have leadership qualities, and be enthusiastic about tackling problems across the full range of our systems. Your peers will cumulatively have decades of experience from places like Google X, SpaceX, iRobot, Rethink Robotics, and Draper Laboratories, and have built self-driving vehicles, electric vehicles, manufacturing robots, surgical robots, autonomous drones, and more. You will be creating new technologies through software development that integrates your areas of expertise to enable self-driving systems to be possible today.
Build software for a self-driving vehicle
Develop state-of-the-art mapping and localization software
Create advanced perception systems to enable the vehicle to accurately perceive and react to its surrounding environment
Test, debug, and maintain reliable, safe, and production quality code
MS or PhD in computer science or a related field, or equivalent practical experience
Deep expertise in topics such as SLAM, visual-inertial odometry, LIDAR point cloud processing, and sensor calibration
Solid fundamentals in linear algebra and numerical methods
Experience working with cameras, LIDAR, and sensor fusion
Excellent software development skills using C/C++
Excellent communication skills in written and verbal English
Significant experience writing production quality code
Experience with SLAM toolkits such as GTSAM or Ceres
Experience with one or more of: GPU programming, state estimation, real-time systems, lifelong mapping, machine learning, object detection and tracking
(We are open to reviewing resumes of candidates who may not have these qualities yet, but demonstrate the potential to learn them on the job.)
Optimus Ride provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Benefits and Working Environment
At Optimus Ride, we strive to support our employees by offering competitive compensation, comprehensive benefits and a world class working environment that is centered around the team. We nurture creativity and provide expansive opportunities for growth and development.
About Optimus Ride
Optimus Ride Inc. is an MIT spinoff company based in Boston, MA that develops technologies to enable efficient, sustainable, and equitable mobility solutions. We are designing a fully autonomous (level 4) system for electric vehicle fleets.
We combine over 30 years of interdisciplinary university research in self‑driving technologies (DARPA Urban Challenge), electric vehicles (CityCar), and Mobility-on-Demand Systems. The team includes a decade of industrial and entrepreneurial experience that combines manufacturing robots, urban design, and shared vehicle fleet management.