Who we are:
At Glydways, we believe that mobility is a basic human right. Low-cost and ubiquitous access to affordable housing, employment, education, commerce and care lead to economic and social prosperity. As such our goal is to provide:
Public transit with the highest capacity, the best user experience, the lowest cost, and the lowest carbon footprint.
Our solution is a system of interconnected, profitable, and carbon footprint neutral transportation networks that uses standardized autonomous vehicles and a closed roadway. Together, they provide a 24/7 on-demand private mobility service without burdening the public with heavy upfront costs or annual system subsidies.
Meet the team:
You'll join a team that is responsible for developing software for resource scheduling, planning, controls, and modeling of systems. The team is composed of team members with strong backgrounds in various algorithm development fields and C++ programming. Members contribute to various projects within the team in a cross discipline fashion.
Roles & Responsibilities:
- Work closely with teammates to design dynamics modeling and control methods.
- Develop system modeling algorithms and parameter estimation methods.
- Contribute to implementations of control systems.
- Being rigorous with implementation of unit tests and integration tests based on functional requirements and implementation detail.
- Contribute to code review, design review, planning, and general collaboration efforts.
- Working with other teams to understand and satisfy architectural, hardware, and platform requirements.
Knowledge, Skills and Abilities:
- PhD and 2 years of professional experience or BSc/MSc and 5 years of professional experience.
- C++ programming skills: experience with C++20 standard libraries, experience with a C++ unit testing framework such as gtest, experience working with CMake or Bazel build systems.
- Control system implementation skills: previously implemented optimal control algorithms (such as MPC or variations of LQR) with constraints for nonlinear, parameter-varying dynamical systems on hardware systems, have designed tests and metrics for evaluation of control system performance.
- Dynamic modeling background: experience modeling dynamic responses of MIMO systems in state-space representation, previously performed system identification and parameter estimation, experience modeling 6DOF kinematics using quaternions or rotation matrices, bonus: familiarity with vehicle dynamics such as suspension, power steering, tire models, and propulsion models.
Glydways 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.
Similar Jobs
What We Do
Glydways, Inc. is an American transportation technology and clean energy company based in South San Francisco, CA. The company specializes in the design, manufacture, installation and operation of affordable autonomous transportation for low, medium and extremely high capacity needs.
Founded in 2016 by engineer and entrepreneur Mark Seeger, the company was started with the goal of providing affordable mobility for communities across the world. This goal is founded in the belief that access to affordable housing, employment, education and care lead to economic and social prosperity, and the key to this equity is mobility for as many people as possible.
Lead by Gokul Hemmady who serves as CEO, the company’s core objectives are to provide a 24/7 mobility service solution that is environmentally net-negative in terms of greenhouse gas production (GHG), and, inherently profitable. GHG-negative is achieved through the invention and use of power-efficient technologies to reduce the watt-hours-per-person-per-unit-distance traveled, and, photovoltaics embedded into the infrastructure. Economic sustainability is achieved by designing for operational costs that are inherently lower than revenue collected when selling a ride. The key comes from decoupling the unit-costs from the utilization of the system, something that is not possible with existing public/mass transportation systems. By being financially sustainable, Glydways relieves municipalities of the vast annual subsidies required to operate existing solutions, which are inherently unprofitable and thereby a fiscal burden to public budgets. Further, the Glydways business model allows for private capitalization of entire systems.
Glydways provides the highest capacity, at the lowest cost, with the best user experience, and the lowest greenhouse gas footprint of any mobility solution, providing a personal, on-demand, and point-to-point journey with no stops between origin and destination
