We're HIRING!

Responsibilities: 

• Develop and maintain the backend architecture of the road inspection platform.
• Integrate sensor data (LiDAR, infrared, digital imaging) into the core software system.
• Build secure APIs for data transmission and client dashboard access.
• Ensure system scalability, reliability, and performance optimization.
• Collaborate with AI Engineer and Data Scientist to integrate machine learning models.
• Perform debugging, system testing, and continuous improvement of platform functionality.

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 3+ years of experience in backend development.
• Proficiency in Python, Java, or similar programming languages.
• Experience with cloud infrastructure (AWS, Azure, or equivalent).
• Knowledge of database management and data pipeline development.
• Experience integrating AI/ML models into production environments is an asset.

Responsibilities: 

• Process and analyze large volumes of road infrastructure data collected from field inspections.
• Develop data models to transform raw sensor outputs into structured analytics.
• Support defect detection accuracy through statistical validation.
• Maintain data integrity, storage security, and reporting pipelines.
• Generate analytical reports for internal use and client-facing dashboards.
• Identify data trends to support predictive maintenance features.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.
• 3+ years of experience in data analysis or machine learning environments.
• Strong proficiency in Python, R, SQL.
• Experience with large-scale structured and unstructured datasets.
• Knowledge of geospatial data analysis is an asset.
• Experience working with sensor or imaging datasets preferred.

Responsibilities: 

• Design, develop, and train AI/ML models for pavement defect detection and classification.
• Build deep learning models for image recognition and pattern detection.
• Optimize model performance for real-time processing environments.
• Work closely with Software Engineer to deploy models into production.
• Conduct performance testing, validation, and model refinement.
• Research emerging AI techniques to enhance inspection accuracy.

Requirements:

• Bachelor’s or Master’s degree in Artificial Intelligence, Computer Vision, or related field.
• 3+ years of experience in machine learning engineering.
• Experience with TensorFlow, PyTorch, or similar frameworks.
• Strong knowledge of deep learning, CNNs, and computer vision.
• Experience deploying ML models in cloud environments.
• Familiarity with LiDAR and image-based datasets is an advantage.

Responsibilities: 

• Conduct on-site road inspections using ROADINTELI’s hardware systems.
• Operate LiDAR, infrared, and imaging equipment safely and accurately.
• Perform system calibration and equipment checks prior to deployment.
• Collect and upload field data to the central system.
• Report operational issues to the COO and technical team.
• Ensure compliance with safety regulations and field protocols.

Requirements:

• Diploma or technical certification in engineering, surveying, or related field.
• Experience working with field equipment or technical systems.
• Valid driver’s license and ability to travel within Canada.
• Strong attention to detail and adherence to safety standards.
• Basic technical troubleshooting skills.
• Experience with mapping or surveying tools is an asset.

Responsibilities: 

• Identify and approach municipal, provincial, and private-sector infrastructure clients.
• Develop sales pipelines and manage client outreach campaigns.
• Present ROADINTELI’s solution to government agencies and construction firms.
• Prepare proposals, quotations, and tender documentation.
• Maintain CRM records and monitor sales performance metrics.
• Coordinate with technical and operational teams during client onboarding.

Requirements:

• Bachelor’s degree in Business, Marketing, or related field.
• 3+ years of B2B sales experience (preferably public sector or infrastructure).
• Experience in government procurement processes is an asset.
• Strong negotiation and communication skills.
• CRM proficiency.
• Ability to travel for meetings and industry events.

Responsibilities: 

• Safely transport personnel and inspection equipment to project sites.
• Maintain company vehicles in clean and operational condition.
• Conduct regular vehicle inspections and report maintenance needs.
• Keep accurate trip logs and time records.
• Assist field technicians with equipment loading and unloading when required.

Requirements:

• Valid Class 5 (or equivalent) driver’s license in British Columbia.
• Clean driving record.
• Minimum 2 years of professional driving experience.
• Familiarity with local and provincial road networks.
• Basic mechanical awareness is an asset.

Responsibilities: 

• Design user interfaces for web and mobile inspection dashboards.
• Develop wireframes, prototypes, and visual layouts.
• Transform complex inspection data into clear, intuitive dashboards.
• Conduct usability testing and gather user feedback.
• Ensure compliance with accessibility standards.
• Maintain visual consistency across all digital platforms.

Requirements:

• Degree or diploma in UI/UX Design, Graphic Design, or related field.
• 3+ years of experience designing digital platforms or dashboards.
• Proficiency in Figma, Adobe XD, or similar tools.
• Experience designing data-heavy interfaces.
• Understanding of user-centered design principles.
• Experience in SaaS or technical platforms is an asset.