Forward-Deployed Engineer
Viaduct
Forward-Deployed Engineer
Viaduct
AI-powered predictive maintenance from vehicle data
About Us
Viaduct builds production-grade AI systems for the world's manufacturers: not pilots, not proofs of concept. The Internal Efficiencies team is deploying real AI use cases inside one of Japan's largest manufacturers - a modern cloud and AI stack, shipped all the way down to a plant floor running robots, lasers, and IoT gear most software teams never get near.
We're a new team building fast. Viaduct already has a sophisticated, battle-tested platform - AWS landing zone, Terraform, AKS, Postgres, ClickHouse, Argo, observability - with genuinely great bones. But that platform was built to host production SaaS applications, and our team's needs don't look like that. We need our own environment, built on the lessons of what already exists, but shaped around how we actually work: fast iteration, new tooling, production use cases shipping constantly.
Who You Are
You're an experienced software developer who's shipped end-to-end, from ideation to production, and doesn't flinch at getting into the weeds of a customer's environment when it counts. You care deeply about engineering best practices and know how to collaborate closely with a senior architect and own significant implementation decisions yourself, rather than waiting to be handed a spec. You like mentoring engineers as much as writing code. You write code to create impact in the real world, not just creating endless prototypes or building other people's ideas.
What We Are Looking For
We are looking for an experienced / senior engineer that can be very independent in their work, specifically in building and maintaining robust systems. The ideal candidate will have the following qualifications:
Expected Skills
Expertise in one or more of:
Security and Privacy Responsibilities
Position Details
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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