Software Engineer, Fleet Simulation (Core Data Science)

Job description

Job responsibilities

• Turn existing fleet-simulation components into a coherent, self-service environment that data scientists and ML engineers can run without deep software expertise.
• Fill gaps and build the connective tissue between simulation, data, and fleet-orchestration algorithms.
• Build generalizable mechanisms that let teams measure how their orchestration algorithms affect fleet efficiency.
• Collaborate with data science, ML, and fleet-orchestration teams to shape and prioritize the simulation roadmap.
• Establish best practices and processes around simulation, evaluation, and data-driven decision-making.

Job requirements

• Software development experience in a production environment, with fluency in Python; or demonstrated experience learning new programming languages.
• Experience building tools, services, or frameworks that make complex systems usable by non-specialist users.
• Familiarity with any version control system, with preference for Git.
• Experience designing metrics and building mechanisms that deliver robust, actionable insights.
• Good communication and collaboration skills.
• Basic familiarity with C++ and/or Kotlin.
• Experience with microservices and/or distributed systems.
• Experience with simulation and/or fleet orchestration (dispatch, routing, vehicle assignment).