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:
The Autonomy Performance team, part of the Autonomy Software division, collaborates with internal software teams and external product partners to develop requirements and metrics for our autonomy software stack. We accomplish this by extensively leveraging our data platform, sponsoring hosted workflows and analysis, and engendering data engineering best practices across our pattern teams . As a Software Engineer with a Data Analytics focus, your primary directive will be further developing our data platform and facilitating data-driven decision-making throughout the organization.
Roles & Responsibilities:
- Develop tooling and processes that accelerate the build, evaluation, and deployment of autonomy software.
- Monitor data pipeline performance, identify bottlenecks, and implement improvements to maximize throughput across all ELT/ETL stages.
- Optimize shared data analysis tools for efficiency, scalability, and reliability.
- Ensure data quality through rigorous testing and validation within CI/CD.
- Collaborate with stakeholders to establish online and offline performance metrics.
- Deliver actionable insights with reports and interactive dashboards.
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).
- Proficiency in Python.
- Proficiency with SQL and/or SQL-like query languages.
- Proficiency with version control systems (e.g. Git).
- Proficiency with configuration languages (e.g. YAML. CUE).
- (Bonus) Experience with cloud platforms (e.g., AWS, Azure, GCP).
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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