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Doxel

AI-powered construction project controls platform

Senior Full Stack Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeCalifornia, USA

About the Job

Requirements

  • At least 8 years of experience building and shipping full-stack web and mobile applications.
  • Expertise with modern full-stack frameworks such as Nuxt.js, Next.js, or similar.
  • Strong engineering experience with TypeScript, Python or Java, and APIs.
  • Experience developing applications that handle large-scale multimodal datasets, including 3D components, videos, and images, and/or IoT data inputs.
  • Strong familiarity with cloud environments such as AWS, GCP, or Azure, and containerized infrastructure.
  • Experience working with a team to design domain-driven data models and working with OLTP/OLAP systems.

Responsibilities

  • Design and develop full-stack applications for project management, commissioning workflows, and data capture.
  • Build web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation.
  • Develop intuitive, high-performance user interfaces that handle complex data streams and large-scale datasets.
  • Work on backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale.
  • Collaborate cross-functionally with backend, computer vision/machine learning, product, design, and 3D visualization teams to deliver end-to-end features.
  • Manage individual project priorities, deadlines, and deliverables.
  • Design and implement new user-facing features in Doxel’s products.
  • Optimize web applications to maximize speed and scale.
  • Contribute to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem.
  • Champion usability and field readiness to ensure tools are simple, fast, and resilient in real-world construction environments.
  • Provide technical leadership by shipping projects end to end and mentoring and coaching engineers on best practices.

Desired Qualifications

  • Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery.
  • Background with offline-capable architectures and mobile-first data collection tools.
  • Experience with 3D visualization using three.js, geospatial data, or computer-vision-powered experiences.
  • Exposure to machine learning or artificial intelligence feature development.
  • Comfort with continuous integration/continuous delivery pipelines, observability tooling, and automated testing best practices.

About the Company

Doxel

AI-powered construction project controls platform

Doxel provides an AI-powered project controls platform for construction that helps prevent budget overruns and schedule delays. Site crews wear a 360-degree camera on a hard hat, and its AI analyzes the footage to quantify installed materials across 80+ construction stages, then compares results to BIM models and the project schedule to generate objective progress measurements and risk insights. It differentiates itself with automated on-site reality capture tightly integrated with BIM and scheduling, offered on a subscription basis to large owners and general contractors. The goal is to make construction projects more predictable by turning on-site data into actionable insights that prevent overruns and delays.

Company size
51-200
Company stage
Series B
Total funding
$56.5M
Headquarters
Menlo Park, CA
Founded
2016

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