Software Engineer, Full Stack

Posted 3 Days Ago
San Mateo, CA, USA
In-Office
Mid level
Artificial Intelligence • Machine Learning • Robotics • Software
The Role
Build and maintain customer-facing web platform and internal tools across backend, databases, and frontend. Design and implement APIs, interfaces to orchestrate workflows on robotic hardware, and data-visualization dashboards to inspect large-scale dataset quality. Ship full-stack product features and contribute to data collection application.
Summary Generated by Built In

Software Engineer, Full-Stack

XDOF | Full-Time | San Mateo, CA

 

At XDOF, we’re at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We’re building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward.

Full-stack engineers at XDOF build the software that our team and our partners interact with every day: from the backend services that orchestrate jobs against real hardware, through to the UI that customers use to manage datasets, launch evaluations, and monitor results.

What You’ll Do

Full-stack engineers ship products across the entire stack. Sample projects include:

  • building the customer-facing platform for partners to browse, search, and manage large-scale robotics datasets

  • designing and implementing APIs that power both internal tools and external-facing platform features

  • building interfaces for customers to configure, launch, and monitor workflows that run against real robotic hardware

  • contributing to our data collection application across the full stack

  • creating data visualization interfaces that help researchers and operators inspect collection quality at a glance

About You

Baseline skills:

  • bachelor’s degree or equivalent experience in Computer Science or a related field

  • strong proficiency in Python and at least one modern frontend framework (React, Vue, or similar)

  • experience building and shipping web applications with real users, from database to UI

  • comfort designing APIs and working across backend services, databases, and frontend code

You might be a good fit if you:

  • have experience building data-intensive applications or tools for technical users

  • have built product features that orchestrate or interact with physical hardware or compute infrastructure

  • have worked with data visualization libraries or built custom dashboards

  • have prior experience with AI, robotics, or scientific computing environments

  • care about craft in both backend architecture and frontend UX

  • are very comfortable working in 0→1 environments

  • are mission-driven and passionate about robotics: work at XDOF is fast-paced and constant. We hope you love what you’re going to be doing, because you’ll be doing a lot of it!

Skills Required

  • Bachelor's degree or equivalent experience in Computer Science or related field
  • Strong proficiency in Python
  • Proficiency with at least one modern frontend framework (React, Vue, or similar)
  • Experience building and shipping web applications from database to UI for real users
  • Comfort designing APIs and working across backend services, databases, and frontend code
  • Experience building data-intensive applications or tools for technical users
  • Experience building product features that orchestrate or interact with physical hardware or compute infrastructure
  • Experience with data visualization libraries or building custom dashboards
  • Prior experience with AI, robotics, or scientific computing environments
  • Experience working in 0->1 startup environments
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The Company
Year Founded: 2024

What We Do

XDOF is the infrastructure partner for the world's most ambitious robotics builders, developing the tools, data, and services that accelerate the future of physical AI. They build the foundational infrastructure for robotics foundation models, including data collection systems, annotation pipelines, and exabyte-scale data infrastructure, helping frontier labs build general-purpose robots by solving the critical bottleneck of high-quality training data.

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