Senior AMR Fleet Optimization Engineer

CB Talents SP; Lisboa; Híbrido; EUR 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model in Portugal

Career growth opportunities

Resumo da oferta

MOV.AI in Tagus Park, Portugal, is seeking a Senior Algorithm / Optimization Engineer to design and implement advanced mathematical algorithms for AMR fleet scheduling, routing, and order assignment. This hands-on role directly impacts the performance of autonomous robot fleets operating in real-world production environments.

You will develop high-performance solutions using Rust and/or Python, build predictive planning models for heterogeneous robot fleets, and work with Backend, Robotics,

Qualificações

• Strong background in mathematical optimization, algorithms or operations research.
• Experience developing production-grade software in Rust and/or Python.
• Knowledge of scheduling, routing, optimization, logistics, or autonomous systems.
• Ability to translate complex mathematical models into robust software.
• Passion for solving challenging real-world engineering problems.

Responsabilidades

• Design and implement optimization algorithms for transport order planning and AMR allocation.
• Develop high-performance algorithmic solutions using Rust and/or Python.
• Build intelligent scheduling and routing solutions considering routes, constraints, priorities, and operational requirements.
• Create predictive planning models for heterogeneous robot fleets.
• Optimize execution plans, travel times, and fleet performance using historical and real-time data.
• Collaborate with Backend, Robotics, Product, QA, Simulation, and Fleet Management teams to deliver scalable production-ready solutions.

Conhecimentos

Mathematical optimization

Algorithms

Operations research

Production-grade software

Ferramentas

Rust

Python

Descrição da oferta de emprego

MOV.AI in Tagus Park, Portugal, is seeking a Senior Algorithm / Optimization Engineer to design and implement advanced mathematical algorithms for AMR fleet scheduling, routing, and order assignment. This hands-on role directly impacts the performance of autonomous robot fleets operating in real-world production environments.

You will develop high-performance solutions using Rust and/or Python, build predictive planning models for heterogeneous robot fleets, and work with Backend, Robotics,