Software Engineer, Fleet Dispatch

This is a remote position.

Software Engineer, Fleet Dispatch (3-5 year experience, remote)

Be part of our future! This job posting builds our talent pool for potential future openings. We'll compare your skills and experience against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, and we only consider applications from US/Canada residents during the application process.

Hiring Type: Full-Time

Base Salary: $112K-$122K Per Annum.

Responsibilities

1. Design and build a scalable, efficient, and robust robotaxis dispatch service.
2. Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques.
3. Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems.
4. Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency.
5. Integrate optimization algorithms into the robotaxi platform.
6. Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness.
7. Conduct detailed operational research studies to continually assess and enhance the dispatch system’s performance.
8. Stay updated with the latest trends in operational research, autonomous vehicles, and AI, applying cutting-edge research to our dispatch systems.
9. Collaborate with teams of world-class engineers, product managers, and technical program managers from diverse backgrounds with expertise in distributed computing, rider experience, web and mobile applications, autonomous driving, mapping, AI, and software infrastructure to understand their needs and incorporate operational research insights into solutions.

Qualifications

1. Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field.
2. Proven experience in algorithm development, with a strong emphasis on operational research methodologies.
3. Proficiency in programming languages like Python, Java, Kotlin, or C++.
4. Solid background in machine learning, AI, operational research, and data analysis.
5. Passion for learning new technologies, domains, and challenging the status quo.
6. Strong mathematics skills.
7. Exceptional problem-solving, analytical, and quantitative skills.

Bonus Qualifications

1. PhD in Operations Research, Computer Science, or a related field with a focus on optimization algorithms or AI.
2. Experience with GIS and mapping software.
3. Experience in transportation, logistics, or autonomous vehicles.
4. Experience in building/using fleet simulation tools.
5. Ability to lead through ambiguity and work with diverse stakeholders.
6. Ability to iterate quickly and efficiently on building end-to-end experiences.
7. Experience handling large data sets and scaling service horizontally to a large number of users.
8. Experience developing cloud services and an understanding of design for scalability, performance, and reliability.
9. Knowledge about microservice design patterns and DB access.
10. 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.