Senior AMR Fleet Optimization Engineer

Cross Border Talents; Lisboa; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model in Portugal

Career growth opportunities

Job summary

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,

Qualifications

• 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.

Responsibilities

• 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.

Skills

Mathematical optimization

Algorithms

Operations research

Production-grade software

Tools

Rust

Python

Job description

Senior Algorithm / Optimization Engineer (AMR Fleet Scheduling & Traffic)
Tagus Park, Portugal (Hybrid – 3 days on-site)
Full-Time

Join MOV.AI, an innovative robotics software company developing the autonomy platform powering the next generation of Autonomous Mobile Robots (AMRs). Their technology enables robots to navigate, localize, and operate autonomously in large-scale industrial and logistics environments across Europe and beyond.

About the Role

MOV.AI is looking for a Senior Algorithm / Optimization Engineer to design and implement advanced mathematical algorithms that optimize AMR fleet scheduling, routing, traffic management, and order assignment. This is a hands-on engineering role where your work will directly impact the performance of autonomous robot fleets operating in real-world production environments.

Your Responsibilities

• 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 operational data.
• Work closely with Backend, Robotics, Product, QA, Simulation, and Fleet Management teams to deliver scalable production-ready solutions.

What We're Looking For

• 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, scalable software.
• Passion for solving challenging real-world engineering problems.

Why Join MOV.AI?

• Work on cutting-edge autonomous robotics technology.
• Join an international engineering team solving complex optimization challenges.
• Hybrid working model in Portugal.
• Opportunity to influence products deployed in major industrial and logistics operations.
• Competitive salary and excellent career growth opportunities.

Interested? Apply today!

Send your CV to Alexander Glogar
[e-mail]
WhatsApp: [phone]