Senior AMR Fleet Optimization Engineer: Real-Time Routing

Velenosi&Meredith; Porto; Hybrid; EUR 60,000 - 80,000; Full time

Job summary

Velenosi&Meredith is seeking a Senior Algorithm / Optimization Engineer to design and implement advanced algorithms for Autonomous Mobile Robot (AMR) fleet scheduling, routing, order assignment, and traffic optimization.

This hands-on role blends mathematical optimization, logistics planning, and production‑grade software development; you will translate complex constraints into robust production code and collaborate with Backend, Robotics, Product, QA, Simulation, and Fleet teams.

Qualifications

• Strong background in mathematical optimization, algorithms, Operations Research, or applied mathematics.
• Experience with combinatorial optimization, scheduling, routing, assignment, or resource allocation.
• Strong programming skills in Rust and/or Python.
• Production software engineering experience—not just research or prototypes.

Responsibilities

• Design algorithms for AMR assignment, scheduling, routing, and fleet optimization.
• Model orders, priorities, deadlines, routes, robot capabilities, and operational constraints.
• Develop fast, executable planning solutions balancing optimality and real-time performance.
• Work with historical and live data to improve travel-time estimates and planning quality.
• Build simulation, benchmarking, and validation tools.
• Integrate algorithms into production backend and fleet-management systems.
• Collaborate with Backend, Robotics, Product, QA, Simulation, and Fleet Management teams.

Skills

Mathematical optimization

Scheduling & routing

Rust

Python

Production software engineering

KPIs & benchmarking

APIs & CI/CD

Simulation

Operations Research

Fleet planning

Tools

OR-Tools

CP-SAT

Docker

Kubernetes

ROS

Git

CI/CD

Redis

Job description

Velenosi&Meredith is seeking a Senior Algorithm / Optimization Engineer to design and implement advanced algorithms for Autonomous Mobile Robot (AMR) fleet scheduling, routing, order assignment, and traffic optimization.

This hands-on role blends mathematical optimization, logistics planning, and production‑grade software development; you will translate complex constraints into robust production code and collaborate with Backend, Robotics, Product, QA, Simulation, and Fleet teams.