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Glydways

Autonomous, on-demand Personal Rapid Transit system

Autonomy Software Engineer - Integration

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A BS or MS in a software- or robotics-related field is required.
  • Experience with modern C++, including object-oriented design, design patterns, build systems, unit testing, and the C++17 standard library.
  • Experience designing and developing autonomous systems, including simulation, communications, coordination, and visualization.
  • Experience developing and debugging on Linux operating systems.
  • Ability to quickly learn new skills and technologies.

Responsibilities

  • Develop interfaces between autonomy software components, hardware modules, and track infrastructure systems.
  • Design, implement, and maintain simulation capabilities and metrics.
  • Maintain core onboard functionality around fault handling, vehicle communication, and top-level pipelines.
  • Work with the onboard integration team to connect hardware to the autonomy stack.
  • Work onboard and offline to fix bugs across the stack.
  • Write safety-rated requirements and code for the vehicle safety system.
  • Develop tooling to improve logged data processing, including visualization.
  • Conduct and support on-track testing of Glydways vehicles.
  • Participate in design review, planning, and code review.

About the Company

Glydways

Autonomous, on-demand Personal Rapid Transit system

Glydways is building an on-demand Personal Rapid Transit system in cities using autonomous Glydcars that travel in dedicated lanes to transport riders. Riders request trips and Glydcars are dispatched to provide 24/7 service with high capacity, claimed up to 10,800 passengers per hour in a 1.5-meter lane, enabling point-to-point trips without a driver. The system aims for energy-neutral operation with a low carbon footprint and lower infrastructure costs compared with rail, charging riders for trips as its revenue. Its distinguishing approach combines autonomous vehicles, dedicated lanes, high throughput, and energy efficiency to offer flexible, cost-effective urban mobility, targeting city dwellers and large events, with the goal of reducing congestion and private car use.

Company size
201-500
Company stage
Series C
Total funding
$496M
Headquarters
South San Francisco, CA
Founded
2016

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