Software Engineer - Ride and Fleet Services
Job Summary
Job Description
Zoox is seeking a Software Engineer for its Ride and Fleet Backend team to develop the Fleet Dispatch System, responsible for assigning missions to robots like rideshare trips, charging, cleaning, and more. The role involves designing and building a scalable dispatch service, crafting optimization algorithms for real-time dispatch and route planning using operational research techniques, and integrating these algorithms into the robotaxi platform. The engineer will also use simulation models to test algorithm effectiveness and analyze data for demand forecasting and network modeling to enhance service efficiency. This position requires a strong background in algorithm development, operational research, programming in languages such as Python, Java, Kotlin, or C++, and a solid understanding of machine learning and AI.
Must have:
- Proven experience in algorithm development with operational research.
- Proficiency in Python, Java, Kotlin, or C++.
- Solid background in machine learning, AI, and data analysis.
- Strong mathematics and problem-solving skills.
- Passion for learning new technologies.
Good to have:
- PhD in Operations Research or Computer Science.
- Experience with GIS and mapping software.
- Experience in transportation, logistics, or autonomous vehicles.
- Experience building/using fleet simulation tools.
- Ability to lead through ambiguity and work with diverse stakeholders.
- Experience handling large data sets.
- Experience developing cloud services.
- Knowledge of microservice design patterns and DB access.
- Knowledge of full software development lifecycle engineering practices.
Perks:
- Zoox Stock Appreciation Rights
- Amazon Restricted Stock Units (RSUs)
- Sign-on bonus may be offered
- Comprehensive benefits package
- Paid time off (sick leave, vacation, bereavement)
- Unpaid time off
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
9 skills required
Job Details
Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots!
- 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.
- 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 like Python, Java or Kotlin, or C++.
- Solid background in machine learning, AI, operational research, and data analysis.
- Passion for learning new technologies, domains, and challenging the status quo.
- Strong mathematics skills.
- Exceptional problem-solving, analytical, and quantitative skills.
- PhD in Operations Research, Computer Science, or a related field with a focus on optimization algorithms or AI.
- 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 to a large number of users.
- Experience developing cloud services and an understanding of design for scalability, performance and reliability.
- Knowledge about microservice design patterns and DB access.
- Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.
$165,000 - $222,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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About The Company
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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