Startups · AI

Software Engineer, Infrastructure

XDOF · San Mateo Hybrid · Remote

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About XDOF

Defining motion for autonomous systems. Backed by a16z.

About the role

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!

What they're looking for

  • a bachelor's degree or equivalent experience in Computer Science or related field
  • fluency with Python
  • have had previous experience with large-scale data processing and distributed systems
  • have prior experience with AI or robotics
  • 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!
More about this role

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.

Infrastructure engineers build the platform that support our ever-increasing scale of data collection.

building an orchestration system to run computations upon data ingestion

designing an internal dev platform for researchers to test their ideas over the dataset

managing a multi-tenant data lake

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

fluency with Python

have had previous experience with large-scale data processing and distributed systems

have prior experience with AI or robotics

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!

Read the full posting on XDOF's site ↗

Software Engineering

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