Trace

Computer Vision Engineer

• 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

Senior Computer Vision Engineer

Robotics

• 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

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

Operations

• Plan each launch: schedules, shift timing, site constraints, access requirements, and shipping
• Coordinate hardware logistics end to end (devices, cables, SSDs, chargers, labeling, backups)
• Set up onsite “HQ,” test gear, charge devices, and prepare the workflow for the day
• Train groups of workers (often 15–25 at a time) to use the equipment safely and correctly
• Troubleshoot issues calmly in real time and coordinate remote support when needed
• Monitor capture progress, manage data handling, and prevent small issues from becoming big ones
• Build and refine checklists and SOPs so launches become repeatable and easier each time
• Document what broke, what worked, and what we should change for the next site
• Work from home when you're not traveling to capture sites

Operations Manager

Account Executive

• Find and sign new capture partners (for example industrial and home services companies)
• Own the relationship from first outreach through signed agreement
• Run discovery, handle skepticism, and work directly with the founders to refine messaging, offers, and target segments
• Build outbound pipeline via cold calls, email, and LinkedIn
• Source and sign new capture partners, including industrial and home services companies, manufacturing sites, and property managers
• Pitch Trace clearly and credibly to operators and owners
• Maintain clean CRM hygiene with clear notes, stages, and next steps

Backend Engineer

• Build and scale our capture-to-cloud pipeline (ingestion, uploads, processing, storage, access)
• Drive performance work across compression, reliability, observability, and robustness of our data pipeline.
• Build internal services and tools that unblock capture and operations teams
• Partner closely with ops to shorten the loop from capture to customer-ready data
• Help define technical direction and engineering best practices as the team scales

Software Engineer, Backend – Data Systems, AI/Robotics

Account Manager

• Find and sign new capture partners (for example industrial and home services companies).
• Build outbound pipeline via cold calls, email, and LinkedIn.
• Qualify quickly: who owns the workflow, who can approve a pilot, and what it would take to launch.
• Pitch Trace clearly and credibly to operators and owners.
• Run discovery to shape pilot structure, including participants, timelines, incentives, and constraints.
• Own deals end to end through agreement signature.
• Coordinate handoff to the onsite onboarding lead and keep partners engaged through kickoff.
• Capture objections and update messaging, scripts, and FAQs based on what you learn.
• Maintain clean CRM hygiene with clear notes, stages, and next steps.

Senior Computer Vision Engineer

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

Operations Manager

Account Executive

Software Engineer, Backend – Data Systems, AI/Robotics

Partnerships Manager