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 data scientists and data engineers responsible for championing robust processes to facilitate verification and validation of our robot software. We accomplish this by distilling and maturing requirements from code, maturing software best practices, and building automation to support verification and validation activities. As a Systems Engineer with a Software Engineering focus, you'll build and optimize our analytics platform to enable data-driven decision making across the company.
Roles & Responsibilities:
- Develop new performance metrics in close collaboration with technical and business stakeholders.
- Automate data pipelines for large-scale data ingestion, transformation, and analysis.
- Champion best practices across our web applications and analytics stack, guiding developers in: architecture, scalability, and maintainability.
- Design and review high-quality, robust, and testable code.
- Build end-to-end testing pipelines for our cloud-based services.
Knowledge, Skills and Abilities:
- Engineering degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related field.
- Excellent communication skills, both verbal and written.
- Experience in Python.
- Experience with Unix or Linux operating systems.
- 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).
- (Bonus) Experience in C or C++.
- (Bonus) Experience with robotic perception, planning, control, and decision-making algorithms.
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.
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