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

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

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.

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

Key skills