This is an opportunity in the exciting and fast-growing transportation technology industry. Public transit is being transformed from a system of static, scheduled fixed-routes, to a dynamic on-demand network, and you will be one of the pioneers shaping this transformation.
As the newest member of our Algorithms & Optimization team, you will contribute to the complex suite of algorithms that power RideCo’s core ridesharing platform. The ideal candidate must possess a sound grasp of Algorithms and Data Structures, strong critical thinking and reasoning skills, and the ability to produce readable, maintainable, and working software programs from abstract concepts and ideas. You will thrive in a small-team environment with fast-paced agile iterations, where every developer contributes code that delivers a meaningful impact to our customers and the company.
At RideCo, you will be switching hats between Software Engineer, Researcher, and Data Scientist depending on the problem at hand.
As a Researcher, you will:
As a Software Engineer, you will:
As a Data Scientist, you will
Your playground / what you’ll learn:
At RideCo you’ll get a chance to play, learn and build with the following tools and technologies, and as part of a cross-functional team that is the world’s foremost innovator in on-demand transit software.
Qualifications and Experience:
Specialized knowledge. Seeking candidates with expertise in two or more of the following:
- Master’s degree or PhD in Computer Science, Software Engineering, or related technical discipline.
Compensation and benefits:
Base salary: $75K - $100K + performance-based bonus or stock options
Work-Life Balance: Flex time, work from home, vacation time
Set-up: Adjustable height desk, high-end computer/laptop, three monitors, ergonomic seating
Benefits Plan: Dental, prescription, disability, massage and more
Food & Fun: Gourmet coffee, teas, juice, snacks, team lunches
Who we are:
RideCo powers on-demand transit. Public transit agencies use RideCo's cloud-based software platform to provide on-demand shared rides in dynamically routed buses, vans, and cars. Our clients include some of the world’s largest transportation operators such as San Antonio Metro, Los Angeles Metro, San Diego County, Grab, and Calgary Transit.
Have you experienced getting frustrated with transfers and waiting while taking a public bus? Have you seen buses drive around in low-density areas with very few passengers on-board and wondered how inefficient that seems to be? You're likely aware of the first & last mile access challenges faced by transit hubs. We are solving these problems by re-imagining shared mobility. Imagine a world where vehicles have dynamic routes responsive to real-time trip demand. This 'dynamic shuttle' (or van /sedan) would pick you up, on-demand, at or near your doorstep and take you to your destination or transit hub. Along the way, it may pick-up other passengers going in your direction. Your experience will be seamless: less waiting, less walking, fewer transfers, shorter travel time, and timely pickups and drop-offs. RideCo's 'dynamic shuttle' platform enables this seamless experience and low-cost shared rides for vehicle fleet operators and their passengers. By seamlessly moving more people in fewer vehicles we are catalyzing a generational shift in how people get around cities and towns. This means commuters spend less time in transit and more time doing what they enjoy.
RideCo powers a diverse range of use cases, including residential/ suburban travel; first-mile-last-mile connections for transit hubs; and corporate employee transportation. We are investing to scale up and capture the growing demand for on-demand shared rides solutions.
Send your resume (or link to your LinkedIn profile) and cover letter to:
Email Subject: “Software Engineer in Algorithms & Optimization, for on-demand transit system"