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2 months ago
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Requirements and responsibilities
About TraceTrace is building the data marketplace for physical AI. Physical AI has the potential to transform how work gets done in the real world, but progress is constrained by a fundamental limitation: there is no scalable way to collect high-quality, real-world training data. Trace builds infrastructure to capture and transform real-world data from humans performing physical work, turning it into training data for robotics systems, embodied AI models, and other AI systems that operate outside the browser and in the physical world.If you succeed, you meaningfully accelerate the development of physical AI and expand what these systems can safely and reliably do in the world. The platform is designed to support many data formats, capture workflows, and customer needs over time.Why TraceA 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.The roleTrace is hiring generalist software engineers who are excited to build across the stack and own meaningful systems end to end. Work spans backend services, data pipelines, internal tools, and product surfaces supporting real-world data capture and delivery.Core services are written in Python, and Trace uses TypeScript (React), PostgreSQL, and C# (Unity), hosted on AWS via Terraform. The role emphasizes strong engineering fundamentals, comfort with ambiguity, and a desire to build things that ship and get used.What you will doBuild and evolve core systems that move data from capture to customer-ready datasetsOwn projects end-to-end and work directly with customers on both sides of the marketplace to inform product decisionsWork across backend services, data pipelines, internal tooling, and product workflowsImprove reliability, performance, and observability of systems operating in messy environmentsHelp define technical direction and engineering best practices as the team scalesWhat we’re looking forComfort operating in early-stage environments where you help define structure and processStrong generalist engineering skills with experience across multiple parts of the stackProduct-minded builder who is comfortable working directly with customers and translating real world feedback into better systems and experiencesSolid backend fundamentals and the ability to reason about systems, performance, and tradeoffsHigh ownership, good judgment, and productive, thoughtful communicationEmotional maturity and a collaborative, grounded working styleBonus pointsExposure to robotics, autonomy, CV, or hardware-adjacent productsExperience with video, media pipelines, or large data systems
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