Full Stack Engineer
Viaduct
Full Stack Engineer
Viaduct
AI-powered predictive maintenance from vehicle data
At Viaduct, we use patented AI to discover hidden patterns in complex time series data – so manufacturers and operators of connected equipment can deliver transformative business results from their data, fast. On our platform we deliver solutions across the equipment lifecycle, from manufacturing productivity, manufacturing quality, service operations and fleet management.
You are an empathetic engineer. You pay attention to the long term implications of your design decisions and how they may affect future users of the application. Clarity is better than cleverness - simplicity is top of mind when writing code or designing new services. You know when to make the trade-off between getting work done and doing it perfectly.
As a full stack developer, you will build both the backend and frontend for new services, as well as develop the tools, frameworks, and environments that enable future full stack engineers to excel. You will collaborate closely with the product team to ensure your service design is precisely aligned with our customers’ needs.
Viaduct analyzes connected vehicle data through a cloud platform powered by its patented TSI Engine. It uses AI to automatically process large data volumes to identify patterns and predict issues with vehicle components. Its applications include predictive maintenance, driver identification, and driver safety scoring for automotive manufacturers and other automotive ecosystem players. Practically, the TSI Engine ingests telematics and vehicle data, runs machine learning models in the cloud, and outputs insights and risk assessments that help schedule maintenance and improve safety. Viaduct differentiates itself with a patented engine and a cloud-based data analytics platform focused on connected vehicles, combining predictive maintenance with driver-related analytics. The company’s goal is to improve vehicle reliability and safety by turning data into actionable insights through machine learning and data analytics.
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