Who we are:
Glydways is reimagining what public transit can be. We believe that mobility is the gateway to opportunity—connecting people to housing, education, employment, commerce, and care. By making transportation more accessible, affordable, and sustainable, we empower communities to thrive and unlock economic and social prosperity.
Our mission is to revolutionize transit with a solution that delivers high capacity, exceptional user experiences, unmatched affordability, and minimal environmental impact.
The Glydways system is a groundbreaking network of carbon-neutral, interconnected transit pathways powered by standardized autonomous vehicles on dedicated roadways. Operating 24/7 with on-demand access, it offers personalized and efficient mobility—without the burden of heavy upfront infrastructure costs or ongoing taxpayer subsidies.
With Glydways, we’re building more than a transportation system; we’re creating a future where everyone, everywhere, has the freedom to move.
Meet the team:
The Autonomy Performance team, part of the Autonomy Software organization, is a collective of applied data scientists and data engineers responsible for building robust data pipelines to keep tabs on our robot software. We accomplish this using our in-house data platform, sponsoring cloud-native workflows, and championing data analytics tools across our partner teams . As a Software Engineer with a Data Engineering focus, your primary directive is to build out game changing features to enable our goal of hands-off end-to-end analytics.
Roles & Responsibilities:
- Design and maintain scalable, robust cloud-first data pipelines.
- Collaborate cross-functionally with both technical and non-technical customers to platform new data analytics workloads.
- Write clean, modular, and maintainable software modules to simplify and streamline analytics applications.
- Develop data models that rapidly scale and load large data sets.
- Research, evaluate, and integrate cutting-edge big data technologies to enhance our platform capabilities.
- Implement best practices for data quality, validation, and governance across all stages of the data lifecycle.
Knowledge, Skills and Abilities:
- Degree in Computer Science, Analytics, Engineering or a related field.
- Experience with big data technologies (e.g., Spark, Hadoop, Hive, dbt).
- Experience with workflow orchestration tools (e.g. Airflow, Argo Workflows).
- Experience with multi-language build systems (e.g. Bazel, CMake) and containerization technologies (e.g., Docker, Kubernetes).
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Proficiency in Python and Shell.
- Proficiency in SQL and/or SQL-like query languages.
- Proficiency in version control systems (e.g. Git).
- Proficiency in configuration languages (e.g. YAML. CUE).
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.
Top Skills
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
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