Senior Algorithm Engineer_India_Remote

About Us: Mapsted (www.mapsted.com) is a global leader in innovative location-based technology, distinguished by its proprietary hardware-free solutions. Founded in 2014, the company has pioneered the transformation of data chaos into actionable intelligence through advanced AI and machine learning. Mapsted has meticulously mapped over one billion square feet of indoor space and holds more than 100 patents, showcasing its commitment to trailblazing innovation. Its unique ability to deliver scalable, beacon-free indoor positioning with an accuracy of 1–5 meters places it at the forefront of the industry.

Key Responsibilities

Algorithm Development

• Lead the design and implementation of advanced pathfinding, routing, and optimization algorithms for indoor and outdoor navigation, geo-spatial analytics, and asset tracking applications.
• Apply deep expertise in graph theory, combinatorial optimization, operations research, and heuristic/metaheuristic algorithms (e.g., Genetic Algorithms, A*, Dijkstra, Simulated Annealing, Ant Colony, etc.) to tackle challenges such as dynamic routing, traffic-based optimization, multi-modal navigation, and map data accuracy.
• Develop scalable, high-performance solutions for real-time location intelligence, fleet routing, and delivery optimization use cases.
• Build and maintain benchmarking frameworks to evaluate speed, precision, and robustness of algorithms under varying geographic and operational conditions (urban, rural, multi-floor, etc.).

Collaboration & Technical Leadership

• Partner with product managers, data scientists, and engineering teams to deploy algorithms in production-grade systems.
• Provide technical mentorship and lead code reviews to ensure high-quality, optimized code delivery.
• Support field deployment and debugging of algorithmic systems in real-world map and routing scenarios.
• Document algorithmic design decisions, performance benchmarks, and system architecture for cross-team alignment.

Client & Cross-Functional Coordination

• Act as a technical liaison between clients, product, and engineering teams, translating business needs into algorithmic solutions.
• Train internal and client teams on optimization tools, data pipelines, and routing workflows.
• Communicate findings, trade-offs, and performance outcomes clearly to both technical and non-technical stakeholders.

Requirements

• MSc/PhD in Applied Mathematics, Operations Research, Computer Science, Geoinformatics, or a related field.
• 8–10 years of hands-on experience in optimization, routing, geo/mapping systems, or spatial algorithm development.
• Strong programming proficiency in C++ or C#
• Deep understanding of:
• Optimization techniques: Linear/Integer Programming, Constraint Programming, Metaheuristics, or ML-based Optimization.
• Proven experience integrating and tuning optimization/routing models in production-scale, real-time systems.
• Excellent problem-solving, debugging, and analytical abilities.

Job Type: Full-time

Work Location: Remote