Robotics Data Infrastructure Engineer

WorldEngine

San Francisco (CA)

On-site

USD 180,000 - 230,000

Full time

3 days ago
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Job summary

Frontier AI is seeking a Software Engineer on Robotics to bridge data systems and customers’ infrastructure. You will design scalable pipelines, formats, and storage for high-volume robotics data, collaborating with lab engineers and researchers to implement configurable, reusable data deliveries.

Ideal candidates have strong backend and data engineering fundamentals and experience with large binary formats and cloud platforms.

Qualifications

  • Strong backend and data engineering fundamentals.
  • Experience building and owning high-volume data pipelines.
  • Comfort operating production systems on AWS and GCP.

Responsibilities

  • Own the reusable infrastructure behind robotics data deliveries: the processing, packaging, and delivery systems.
  • Format and transform datasets to per-client specification: MCAP and other container formats, custom schemas, field mappings, metadata, and versioning.
  • Work directly with customer engineering teams to scope and build bespoke schemas, custom fields, and one-off transforms where requirements are custom.
  • Build and operate the pipelines that move data from our systems into customer storage reliably at petabyte scale.
  • Partner with operations and product to turn evolving requirements into shipped data deliveries, and prototype quickly when a new data type or customer arrives.
  • Build automated validation techniques

Skills

Backend engineering
Data pipelines
Customer-facing

Tools

Python
Go
Rust
AWS
GCP

Job description

Frontier AI is seeking a Software Engineer on Robotics to bridge data systems and customers’ infrastructure. You will design scalable pipelines, formats, and storage for high-volume robotics data, collaborating with lab engineers and researchers to implement configurable, reusable data deliveries.

Ideal candidates have strong backend and data engineering fundamentals and experience with large binary formats and cloud platforms.

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