Hybrid opportunity at
ZooxSoftware Engineer - Ride and Fleet Services
Zoox is seeking a Software Engineer for its Ride and Fleet Backend team to help construct the Fleet Dispatch System. This system manages the assignment of…
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About This Role
Zoox is seeking a Software Engineer for its Ride and Fleet Backend team to help construct the Fleet Dispatch System. This system manages the assignment of tasks to autonomous vehicles, handling operations such as rideshare trips, recharging, sanitation, depot returns, research missions, and roaming. The position operates on a hybrid remote schedule and is a full-time opportunity. The person in this role will develop scalable dispatch services for robotaxis and…
Job Description
Zoox is seeking a Software Engineer for its Ride and Fleet Backend team to help construct the Fleet Dispatch System. This system manages the assignment of tasks to autonomous vehicles, handling operations such as rideshare trips, recharging, sanitation, depot returns, research missions, and roaming. The position operates on a hybrid remote schedule and is a full-time opportunity.
The person in this role will develop scalable dispatch services for robotaxis and formulate real-time algorithms for dispatch optimization and route planning. Responsibilities include utilizing operational research methods like linear programming, integer programming, stochastic processes, and queuing theory, alongside demand forecasting and network modeling. Candidates will also integrate these optimization techniques into the platform and utilize simulation models to test performance.
This opportunity is well-suited for engineers with a strong background in mathematics, machine learning, artificial intelligence, data analysis, and operations research. Zoox builds custom autonomous vehicle fleets and supporting ecosystems to deliver next-generation urban mobility services. The organization values diverse backgrounds and encourages candidates to apply even if they do not meet every single listed expectation.
Responsibilities
- Design and build a scalable, efficient, and robust robotaxis dispatch service
- Craft and refine algorithms for real-time dispatch optimization and route planning using operational research techniques
- Apply operational research methods including linear programming, integer programming, stochastic processes, and queuing theory
- Analyze data, forecast demand, and model transport networks to enhance robotaxi service efficiency
- Integrate optimization algorithms into the core robotaxi platform
- Build and utilize internal or third-party simulation models to evaluate dispatch optimization effectiveness
Requirements
- Proven experience in algorithm development with an emphasis on operational research methodologies
- Proficiency in Java or Kotlin programming languages
- Solid background in machine learning, artificial intelligence, operational research, and data analysis
- Strong mathematical, problem-solving, analytical, and quantitative skills
Qualifications
- Bachelor or Master degree in Computer Science, Engineering, Mathematics, Operations Research, or a related discipline
- Experience with geographic information systems and mapping software
- Experience working in transportation, logistics, or autonomous vehicles
- Background in building or utilizing fleet simulation tools
- Experience handling large data sets and scaling services horizontally
- Experience developing cloud services with an understanding of scalability, performance, and reliability
- Knowledge of microservice design patterns and database access
- Familiarity with full software development lifecycle engineering practices
Core Skills
Frequently Asked Questions
What is the employment type for this role?
This is a full-time position.
What is the remote work policy?
The position is offered on a hybrid remote status.
What programming languages are required?
Candidates must be proficient in Java or Kotlin.
What is the salary for this position?
The posting does not specify the salary.
Sample Interview Questions
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