Senior AMR Fleet Optimization Engineer

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

Job summary

Velenosi&Meredith in Lisbon is seeking a Senior Algorithm / Optimization Engineer to design and implement advanced algorithms for AMR fleet scheduling, routing, and traffic optimization. This hands-on role combines mathematical optimization, logistics planning, and production-grade software development, with a hybrid work model blending on-site collaboration at Tagus Park and remote work flexibility.

You will translate complex optimization problems into robust production code used in real-world

Qualifications

• Strong background in mathematical optimization, algorithms, OR, or applied mathematics.
• Experience with combinatorial optimization, scheduling, routing, assignment, or resource allocation.
• Proficiency in Rust and/or Python for production-grade software.
• Production software engineering experience, not just research.
• Ability to translate optimization concepts into robust production code.

Responsibilities

• Design algorithms for AMR assignment, scheduling, routing, and fleet optimization.
• Model orders, priorities, deadlines, routes, robot capabilities, and constraints.
• Develop fast planning solutions balancing optimality and real-time performance.
• Use 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 teams.

Skills

Mathematical optimization

Operations Research

Scheduling

Routing

Rust

Python

Back-end APIs

CI/CD

Education

Bachelor's degree in a relevant field

Tools

OR-Tools

Git

Docker

Kubernetes

ROS

Job description

Velenosi&Meredith in Lisbon is seeking a Senior Algorithm / Optimization Engineer to design and implement advanced algorithms for AMR fleet scheduling, routing, and traffic optimization. This hands-on role combines mathematical optimization, logistics planning, and production-grade software development, with a hybrid work model blending on-site collaboration at Tagus Park and remote work flexibility.

You will translate complex optimization problems into robust production code used in real-world