Software Engineer - Ride and Fleet Services

Responsibilities

• Design and build a scalable, efficient, and robust robotaxis dispatch service.
• Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques.
• Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems.
• Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency.
• Integrate optimization algorithms into the robotaxi platform.
• Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness.

Requirements

• Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field.
• Proven experience in algorithm development, with a strong emphasis on operational research methodologies.
• Proficiency in programming languages Java or Kotlin.
• Solid background in machine learning, AI, operational research, and data analysis.
• Strong mathematics skills.
• Exceptional problem-solving, analytical, and quantitative skills.

Nice-to-Haves

• Experience with GIS and mapping software.
• Experience in transportation, logistics, or autonomous vehicles.
• Experience in building/using fleet simulation tools.
• Ability to lead through ambiguity and work with diverse stakeholders.
• Ability to iterate quickly and efficiently on building end-to-end experiences.
• Experience handling large data sets and scaling service horizontally.
• Experience developing cloud services with focus on scalability, performance, and reliability.
• Knowledge about microservice design patterns and DB access.
• Knowledge of engineering practices for the full software development life cycle.