Trace

Software Engineer, Full Stack – Marketplace for Data Capture, AI/Robotics

Trace

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • Build and evolve core systems that move data from capture to customer-ready datasets
  • Own projects end-to-end and work directly with customers on both sides of the marketplace to inform product decisions.
  • Work across backend services, data pipelines, internal tooling, and product workflows
  • Improve reliability, performance, and observability of systems operating in messy environments
  • Help define technical direction and engineering best practices as the team scales

Requirements

  • Comfort operating in early-stage environments where you help define structure and process
  • Strong generalist engineering skills with experience across multiple parts of the stack
  • Product-minded builder who is comfortable working directly with customers and translating real world feedback into better systems and experiences
  • Solid backend fundamentals and the ability to reason about systems, performance, and tradeoffs
  • High ownership, good judgment, and productive, thoughtful communication
  • Emotional maturity and a collaborative, grounded working style
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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
backend developmentdata pipelinessystem performanceobservabilityengineering best practicesdata captureproduct workflowsreliability engineeringgeneralist engineeringsystem tradeoffs
Soft Skills
high ownershipgood judgmentthoughtful communicationemotional maturitycollaborative working styleproduct-mindedcustomer engagementtranslating feedbackdefining structureprocess improvement