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PassiveLogic enables autonomy for controlled systems and unlocks collaboration between teams to manage those systems. PassiveLogic has reimagined how we design, build, operate, maintain, and manage infrastructural robots, whose current technology has remained unchanged for decades. By using revolutionary physics-based Quantum digital twins and leveraging the world’s fastest AI compiler to simulate future-forward controls, PassiveLogic empowers users to easily create their own generative digital twins in minutes to launch autonomous control. This control optimizes for energy use, equipment longevity, and occupant comfort levels in real time for the system’s lifetime. Autonomous control lays the foundation for decarbonization at scale and enables truly smart, connected cities.
Job Responsibility:
Develop iOS applications with GPU programming using SwiftUI, UIKit and Objective C/C++ to build automation and energy management AI tools
Help develop edge-based AI frameworks
Use 3D graphics concepts, 3D math, linear algebra, and geometry for AR transformations, mesh processing and optimization
Use GPU-accelerated computations with Metal for optimization
Develop Swift-based controls for CoreBluetooth platform
Use software design patterns to develop a maintainable application architecture with Git and Xcode
Train and integrate neural networks into iOS applications using Machine Learning
Develop apps utilizing augmented reality (AR) technology to deliver immersive and interactive user experiences
Create efficient Metal GPU rendering pipelines for 3D graphics in ARKit, optimizing Shaders, buffers, and texture management to ensure smooth, high-performance real-time visualization
Design and develop multithreaded GCD apps in iOS to enhance performance
Requirements:
Bachelor’s Degree in Computer Science or Mechanical Engineering
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