Backend Engineer, Doxel
$140-180k
Salary dependent on location
Automated construction progress tracking
Job no longer available
Automated construction progress tracking
101-200 employees
Job no longer available
$140-180k
Salary dependent on location
101-200 employees
Company mission
To empower construction teams with artificial intelligence-backed tools to create better products, more efficiently.
Role
Who you are
- 3+ years with experience in Python, C++ or a FP Language
- 2+ years of experience working in a full stack or back end focused engineering role within an agile, cloud based environment
- 1+ year of experience working with ETL pipelines
- Experience with Kubernetes and Airflow
- Experience with SQL and deep database knowledge for modifying queries and tables
- Experience with test driven development
- Experience with CV or ML development not required but considered a plus
- Bachelor’s degree in Computer Science or other technical discipline
What the job involves
- Engineers on the Backend team produce the foundation for Doxel's construction insights
- The team owns the behind the scenes technology that snapshots hundreds of thousands of square feet of construction activity per day and the software that ingests 100s of gigabytes of data per site per day
- You will work closely with Product, Frontend Engineering, and Design to build a polished product that serves customer’s needs in an intuitive way
- You will also work internally with teams that build and train our state-of-the-art CV and ML automation pipelines
- As the company serves a growing number of customers, the engineering team needs to bolster the data pipeline and API platform we have built to reduce the frequency of service disruptions and make the platform easier to extend in order to support new features
- You will apply your backend software development expertise to promote strong design patterns and unify our data pipeline so different teams and systems work well together, acting as a force multiplier
- Outside of your domain, you're eager to learn, inside your domain you're able and willing to teach us something. You care deeply about reliable, low-upkeep software
- Create and maintain APIs to serve our front-end applications
- Extend our ETL pipeline to meet evolving business needs
- Create diagnostic tools to track data quality and pipeline performance
- Find the right trade-offs between "fast" and "rigorous" in a dynamic startup
- Monitor complexity in our workflows and introduce general, flexible, and simple paradigms for our data flow and computation infrastructure
- Work with our Computer Vision and Machine Learning engineers to release state-of-the-art 3D computer vision models
Our take
With computer-vision-powered predictive analytics, Doxel helps construction teams see what's really happening on site, not weeks later in a spreadsheet. Its software captures site imagery, analyses it's against building information models, budgets, schedules and pay application data, and turns that into clear, actionable insights.
This matters in an industry where more than 90% of large projects urn over budget or behind schedule. And while there's no shortage of dashboards in construction, Doxel's edge has always been in its forward-looking insights. Now its doubling down on that positioning with an enterprise agreement with Stream Data Centers, bringing its AI-powered progress tracking across Stream's data centre developments. So, by automatically visualizing the status of every component on site, Doxel aims to helpo teams avoid reowrk, reduce maual reporting and catch bottlenecks early.
The company has already worked with major organizations including Kaiser Permanente and Pennsylvania Chemicals, and this latest enterprise rollout signals growing momentum. As global investment in AI and digital infrastructure accelerates, the pressure to deliver complex builds quickly (and without costly surprises) is only increasing. And Doxel is betting that objective, AI-driven progress tracking will become less of a nice-to-have and more of standard tool on every major job site.
Steph
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2021
$40m
SERIES B
Feb 2020
$12m
SERIES A
Total funding: $56.5m
Company HQ
Menlo Park, CA
Leadership
Saurabh Ladha
(Founder & CEO)Saurabh founded Doxel in 2016 and has served as the CEO since.
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