Senior Algorithm / Optimization Engineer – AMR Fleet Scheduling & Traffic

Location: Tagus Park, Portugal Work Model: Hybrid – 3 days on-site Contract: Full-time Salary: €60,000–€80,000 gross/year × 14 salaries Relocation: No relocation support provided About the Role 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 . What You'll Do 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 Requirements 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 Nice to Have 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 Important 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. Interested? Send your updated CV to: dylan.nyamande@cbtalents.org LinkedIn: https://www.linkedin.com/in/dylan-デ-a78965140/