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Niche spatial-algorithms focus but popular AI title plus Bangalore location creates moderate competition.
Highly specialized spatial-algorithms and AEC-focused skills limit cross-industry transferability.
Requires specialized computational geometry, optimization, and performance programming, increasing screening strictness.
Design and develop a core layout engine for generating optimized 2D floor plans based on spatial and architectural constraints.
Implement constraint-based systems and multi-objective optimization algorithms to balance adjacency, space efficiency, and daylight utilization for enterprise workspace layouts.
Optimize performance to enable generation of multiple high-quality layouts efficiently, supporting near real-time feedback for large enterprise floor plates.
Proven experience in computational geometry, optimization algorithms, and graph theory applied to spatial layout or similar domains.
Strong programming skills in Python preferred; C++ or Rust acceptable for performance-critical components.
Experience with constraint solving and heuristic optimization techniques such as simulated annealing, genetic algorithms, or linear/integer programming.
Work Experience Required: Not explicitly mentioned in the JD.
Developer with a solid foundation in computer science focusing on algorithms and data structures for spatial and geometric modeling.
Experience working at the intersection of computational geometry, optimization, and real-world architectural or workplace design constraints.
Ability to translate complex real-world constraints into algorithmic solutions and build production-grade systems from scratch in a fast-paced, impact-driven environment.