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Senior Backend Engineer
Doxel
Develop and maintain backend APIs and data pipelines for AI-driven construction insights
7d ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
San Francisco, CA
Office Full-Time
Company Size
68 Employees
Service Specialisms
Construction services
Project Management
Engineering
Consulting
Sector Specialisms
Industrial
Energy
Infrastructure
Buildings
Residential
Commercial
Water Resources
Heavy Civil
Role
What you would be doing
api development
computer vision
webassembly
airflow pipelines
data storage
diagnostic tools
- Design, develop, and maintain APIs that power our Three.js and DuckDb powered frontend applications
- Work with CV and ML engineers to deploy cutting-edge 3D computer vision models
- Explore and integrate WebAssembly (Wasm) powered local computation where appropriate to enable flexibility, performance, and reduce server round trip time
- Extend and optimize our idempotent data pipelines using Airflow to adapt to evolving business needs
- Develop and manage our data storage and processing stack, leveraging DuckDB for analytical workloads and PostgreSQL for transactional data
- Identify and manage complexity in workflows by implementing general, flexible, and scalable data processing paradigms
- Implement and maintain robust data processing workflows that ingest and structure data from 360-degree video, project management schedules, and IoT sensors
- Strike a balance between rapid iteration and long-term software stability
- Develop diagnostic tools to monitor data quality and pipeline performance
What you bring
python
c++
kubernetes
airflow
postgresql
sql
- 3+ years of experience in backend or full-stack engineering within an agile, cloud-based environment
- 5+ years of experience in Python, C++, Typescript, or a functional programming language
- Experience with Kubernetes and cloud infrastructure
- 2+ years of experience working with ETL pipelines and workflow orchestration tools like Airflow
- Strong SQL expertise with deep knowledge of query optimization and table structures, including experience with PostgreSQL
- Experience with Wasm and its applications in local-first data processing is a plus
- Experience with test-driven development and automated testing strategies
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
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Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
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Company
Overview
$56 million raised
Funding Achievement
The company secured significant investment from top-tier venture capital firms.
84 million installations
Tracking Achievement
The company has successfully tracked an impressive number of installations across various projects.
11% under budget
Efficiency Improvement
Projects utilizing the company's solution have achieved significant cost savings.
- Founded in 2016 in Menlo Park with a vision to eliminate guesswork in construction progress tracking.
- Using drones and indoor rovers, captures 360° scans of job sites and feeds them into an AI engine linked to BIM, schedules, and budgets.
- Software autonomously measures installed quantities, visualizes progress in 3D, and predicts finish dates.
- Providers of solutions for commercial buildings, infrastructure, industrial facilities, and data center developments.
- Clients include major general contractors and owners, with deployments across the U.S.
- Powered by TensorFlow, PyTorch, and VSLAM, blending computer vision, deep learning, and cloud-scale data pipelines.
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