Software Engineer - Ride and Fleet Services
Design and implement scalable robotaxi dispatch and optimization services using Java/Kotlin, operational research algorithms, and simulation models.
About the job
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.
Skills
Java, Kotlin, Machine Learning, AI, Linear Programming, Integer Programming, Stochastic Processes, Queuing Theory, Gis, Microservices
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