Trace
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.
Senior Computer Vision Engineer
🕒 May 26
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Trace
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
• Own camera and multi-sensor calibration across our capture rigs, including intrinsics, extrinsics, and time synchronization • Build, evaluate, and improve SLAM, VIO, and mapping pipelines that recover aligned 6-DoF trajectories from real-world captures • Train and/or fine-tune models for pose estimation and semantic understanding of multi-modal data • Diagnose and fix the failures that actually show up in the field – drift, calibration drift, sensor misalignment, degraded tracking, weak reconstructions, noisy data • Define the ground-truth and benchmarking methodology we use to know whether the spatial layer is actually getting better • Decide where we need custom perception work versus where off-the-shelf components are good enough • Work closely with the rest of engineering and with Trace Labs (our applied research arm) to feed reliable spatial outputs into downstream annotation, evaluation, and product workflows
🎯 Requirements
• Strong experience in at least one of: SLAM, visual odometry, VIO, mapping, or localization • Hands-on work with camera calibration, sensor fusion, multi-sensor alignment, or state estimation • A track record of shipping perception systems on real hardware, in real-world environments – robotics, autonomy, AR/VR, drones, or other embodied / sensor-heavy systems • Comfort reasoning across software, sensors, calibration, and data quality, not just models in isolation • Pragmatism about when to use off-the-shelf components, when to build custom, and when to push a problem back to the sensor or capture side • High ownership, good judgment, and productive, thoughtful communication • Emotional maturity and a collaborative, grounded working style
🏖️ Benefits
• Offers Equity
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