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 fresh perspective from many different areas, including machine learning, perception, robotics, networking and data storage, real-time systems, UI and mobile.
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 and maintain software and systems, both on- and off-vehicle
Test, debug, and maintain reliable, safe, and production quality code
Participate in our team’s software development processes, including documentation, automated testing, and source control practices
BS/MS/PhD in computer science, electrical engineering, aerospace engineering, or a related field, or equivalent practical experience
Excellent software development skills using C++
Solid fundamentals in linear algebra and numerical methods
Excellent communication skills in written and verbal English
Desire and ability to lead and mentor junior engineers
5+ years of experience writing production quality code
Experience with robotics and AI applications
Domain expertise with one or more of the following:
3D computer vision (SLAM, visual odometry)
Estimation and control
Real time and embedded systems programming
Machine learning and robot perception
GPS and inertial systems
Computer graphics and GPU programming
Networking and data storage
Large scale data processing and analysis
(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.