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Senior Software Developer - Smart Building Analytics & AI

Salary undisclosed

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Position Overview:

We are seeking a number of experienced Senior Software Developer to lead the development of an advanced software platform that integrates multiple sensor data streams and leverages AI to optimize building occupancy and energy management systems. This role combines expertise in software engineering, data integration, and artificial intelligence to create innovative solutions for smart buildings and campus environments.

Key Responsibilities:

• Design and develop a scalable software platform to integrate and process data from various sensor systems including:

• People counting sensors

• Environmental monitoring systems

• Heat mapping technologies

• IoT devices and building management systems

• Create robust algorithms for:

• Real-time occupancy detection and counting

• Data fusion from multiple sensor sources

• Predictive analytics for space utilization

• Energy consumption forecasting

• Develop and implement AI/ML models for:

• Occupancy prediction

• Energy usage optimization

• Pattern recognition in building usage

• Large Language Model applications for building management

• Lead the integration of AI-powered recommendation systems for:

• Energy efficiency improvements

• Space utilization optimization

• ESG compliance and reporting

• Predictive maintenance

Technical Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field

• 2+ years of software development experience

• Strong proficiency in:

• Python, Java, or similar programming languages

• AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)

• Large Language Models and natural language processing

• RESTful APIs and microservices architecture

• Time-series data processing and analysis

• Cloud platforms (AWS, Azure, or GCP)

• Database management (SQL and NoSQL)

Required Skills:

• Extensive experience in developing scalable software applications

• Strong background in data integration and sensor fusion

• Expertise in AI/ML model development and deployment

• Knowledge of building management systems and IoT platforms

• Experience with real-time data processing and analytics

• Strong problem-solving and analytical skills

• Excellent communication and documentation abilities

Preferred Qualifications:

• Experience with smart building technologies

• Knowledge of energy management systems

• Background in ESG reporting and sustainability metrics

• Experience with computer vision and sensor data processing

• Understanding of building automation systems

• Previous work with occupancy detection systems

Responsibilities:

• Lead the technical design and implementation of the sensor fusion platform

• Develop and optimize algorithms for occupancy detection and prediction

• Create and maintain AI models for energy optimization

• Implement data processing pipelines for real-time analytics

• Collaborate with cross-functional teams to integrate solutions

• Mentor junior developers and provide technical leadership

• Ensure code quality, performance, and reliability

• Document technical specifications and system architecture

What We Offer:

• Opportunity to work on cutting-edge smart building technologies

• Competitive salary and benefits package

• Professional development opportunities

• Collaborative and innovative work environment

• Chance to make a significant impact on sustainability initiatives

Impact:

The successful candidate will play a crucial role in developing solutions that significantly improve building efficiency, reduce energy consumption, and enhance space utilization across smart buildings and university campuses, contributing to sustainability goals and ESG objectives.

This position offers an exciting opportunity to work at the intersection of software development, artificial intelligence, and sustainable building management, creating solutions that have a real-world impact on energy efficiency and space utilization.