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

🕒 April 12

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Trace

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

🤖 Artificial Intelligence

🏪 Marketplace

☁️ SaaS

Artificial Intelligence • Marketplace • SaaS

Trace is a data marketplace and infrastructure company that captures and prepares real-world data from humans doing physical work to create training datasets for robotics, embodied AI, and other physical-world AI systems. The company builds the supply network, operational infrastructure, and data workflows to capture, transform, and deliver high-quality, multi-sensor datasets and a marketplace that helps customers capture better data, iterate faster, and scale physical AI solutions.

📋 Description

• 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.