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Senior Algorithm Developer
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About Us: Mapsted ) 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 tailored for indoor navigation and asset tracking applications.
- Apply deep knowledge of graph theory, optimization methods, and heuristic/metaheuristic algorithms to solve complex challenges such as accessibility, dynamic blockages, and multi-floor routing.
- Develop and refine scalable, high-performance solutions for real-time location tracking and indoor wayfinding.
- Establish and maintain benchmarking frameworks to evaluate algorithm performance, ensuring speed, accuracy, and robustness under diverse operational conditions.
Collaboration & Support
- Partner closely with product managers, researchers, and engineering teams to integrate algorithms into production-grade systems.
- Provide technical leadership and guidance during deployment, assisting in troubleshooting and debugging algorithmic behavior in real-world environments.
- Drive knowledge sharing by documenting algorithm design, workflows, and performance outcomes, enabling effective collaboration across teams.
- Mentor junior developers and contribute to the strategic direction of algorithmic innovation within the company.
Client & Team Coordination
- Act as a technical liaison between customers, product managers, and internal research/engineering teams.
- Provide guidance and training to end users on using optimization tools effectively.
- Communicate technical findings and solutions clearly to both technical and non-technical stakeholders.
Requirements
- MSc or PhD in Applied Mathematics, Operations Research, Computer Science, or a related field.
- 8-10 years of relevant experience in optimization algorithm development and software engineering.
- Strong programming skills in C# and Python, with a focus on performance and scalability.
- Deep understanding of optimization techniques: linear/integer programming, constraint programming, metaheuristics, or machine learning-based optimization.
- Demonstrated experience implementing and tuning optimization models in real-world applications.
- Strong problem-solving, debugging, and analytical skills.
- Excellent communication skills and ability to collaborate in distributed teams.
Job Type: Full-time
