Senior Algorithm Optimization Engineer – AMR Fleet Scheduling & Traffic

Location: Tagus Park Portugal
Work Model: Hybrid 3 days on-site
Contract: Full-time
Salary: gross/year 14 salaries
Relocation: No relocation support provided

We are looking for 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 is a hands-on engineering role combining mathematical optimization logistics planning and production-grade software development.

• 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

• 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 only research or prototypes
• Understanding of algorithms constraints objective functions heuristics and runtime complexity
• Experience with APIs backend services testing Git CI/CD and performance optimization
• Ability to evaluate algorithms using simulation benchmarks data and operational KPIs
• Understanding of logistics fleet planning or complex scheduling problems

• AMR/AGV robotics warehouse automation or intralogistics experience
• OR-Tools MILP CP-SAT constraint programming or similar
• Vehicle routing job-shop scheduling pathfinding or traffic management
• Machine learning/statistical modelling applied to operational problems
• Docker/Kubernetes
• ROS VDA 5050 MQTT Kafka Redis or similar technologies
• Simulation/digital twin experience

This is not a pure Data Science or theoretical research role.

Candidates must be able to translate mathematical and optimization concepts into robust maintainable production-ready algorithms used in real-world fleet operations.

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