Job Description

Salary: $113,000 - 153,000 per year Requirements:

• We need an experienced computer vision engineer and technologist who has already stood up and scaled an egocentric perception stack end to end at a robotics or AI data company.
• You should bring 8+ years of experience building and shipping production computer vision or perception systems, or an MS/PhD in CV, ML, or robotics plus 6+ years of hands-on experience.
• You need deep expertise in computer vision and tooling, including designing, training, and debugging CNNs and vision transformers.
• Strong knowledge of geometric computer vision is essential, including camera calibration, depth estimation, and 2D/3D pose estimation.
• You should have owned a major perception problem from data and model design through evaluation, optimization, and deployment with measurable performance outcomes.
• We value experience setting technical direction for a team or major workstream and raising the standards of other engineers.
• You should be comfortable solving ambiguous 0-to-1 problems with limited resources and no existing playbook.
• Experience working with large unstructured video or multimodal datasets, along with disciplined evaluation practices, is important.
• Expert-level Python is required, with strong software engineering fundamentals and C++ where performance demands it.

• We will rely on you to define and deliver the product, owning the data product across quality tiers from RGB egocentric video through depth-enhanced and full multimodal capture with hand pose and annotations.
• You will determine what gets built and in what order based on buyer demand, while maintaining a high quality bar.
• We expect you to run the capture and delivery program by standing up the warehouse capture operation, including camera and rig hardware selection, enrollment, edge processing, and dataset packaging pipelines.
• You will coordinate with warehouse operations, engineering, and customers to deliver datasets on spec and on schedule.
• You will build the perception stack, including detection, tracking, segmentation, depth or 3D reconstruction, and 6DoF multi-view 3D hand/body pose estimation from egocentric and fixed-camera capture.
• You will stand up VLM-assisted and automated labeling with human-in-the-loop QA to reduce annotation costs and integrate the tooling.
• You will own the hardware and vision intersection, including camera calibration, epipolar and multi-view geometry, frame-accurate time synchronization, and triangulation-based 3D pose estimation where direct sensors are unavailable.
• You will train, fine-tune, optimize, and ship CV and multimodal models on large unstructured video datasets, making them reproducible and production-ready.

• 3D
• AI
• Computer Vision
• CTO
• Hardware
• Support
• Network
• Python
• Robotics
• Embedded
• Salesforce

More:

Stord is the Consumer Experience Company, helping leading brands create seamless checkout through delivery. We are growing rapidly and are on track to double our revenue in the next 18 months, while scaling teams across the business to support our mission. We combine commerce-enablement technology with high-volume fulfillment services, operating a large independent e-commerce fulfillment network in the US and managing over $10 billion of commerce annually through fulfillment, warehousing, transportation, and our software suite. Our customers include leading DTC and B2B brands, and we are headquartered in Atlanta with facilities across the United States, Canada, and Europe. This role is part of a new business line focused on turning our operational infrastructure into valuable training data assets in physical AI, and it offers the chance to build a high-growth business from the ground up with direct partnership from our CTO/co-founder.

last updated 40 week of 2026

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