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Trace logo
Trace

How will AI interact with the world of atoms? We're working on the answer.

Software Engineer, Backend – Data Systems, AI/Robotics

Location

United States

Posted

53 days ago

Salary

0

Seniority

Senior

Job Description

Software Engineer, Backend – Data Systems, AI/Robotics

Trace

• Build and scale our capture-to-cloud pipeline (ingestion, uploads, processing, storage, access) • Drive performance work across compression, reliability, observability, and robustness of our data pipeline. • Build internal services and tools that unblock capture and operations teams • Partner closely with ops to shorten the loop from capture to customer-ready data • Help define technical direction and engineering best practices as the team scales

Job Requirements

  • Strong backend fundamentals: distributed systems, APIs, databases, queues, storage
  • Experience owning systems end to end, including when things break
  • Comfort operating without a lot of structure and helping create it
  • Product-minded builder who is comfortable translating real world feedback into better systems and experiences
  • Clear communicator with high accountability
  • Emotional maturity and good judgment under pressure
  • Bonus points: Robotics, autonomy, CV, or sensor-adjacent environments
  • Bonus points: Video pipelines, media processing, or large-file transfer experience
  • Bonus points: Internal tooling or ops-support systems

Benefits

  • A world-changing problem: Physical AI will reshape entire industries, but it cannot scale without real-world data. Trace is addressing one of the core constraints holding the field back.
  • Early but real traction: Active pilots with growing demand on both sides of the marketplace.
  • Experienced, tight-knit team: Ex founders, PhDs, and operators with a track record of building and scaling together.
  • Real ownership: This is early. Your work will materially shape the product, systems, and direction of the company.
  • Foundational platform: We are building core infrastructure that enables many future products and use cases as physical AI evolves.

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