Robotics data and infrastructure for physical AI

Co-Founder & CTO

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Research Scientist, Video Understanding & World Models

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They are seeking a Research Scientist to own the video understanding agenda, focusing on training large-scale video representation and video-language models on real-world robotics data.

Research Scientist – Computer Vision (Hand Tracking & Manipulation)

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They are seeking a Research Scientist to architect and train proprietary foundation models focused on 3D hand tracking and articulated pose estimation, addressing critical challenges in dexterous manipulation and human-object interaction.

Computer Vision & Robotics Navigation Engineer

Mecka AI is building data infrastructure for robotics and embodied AI, supporting the collection, labeling, and validation of visual and spatial data for robotics systems. The Computer Vision & Robotics Navigation Engineer will own and improve SLAM and SfM systems, manage sensor calibration and hardware collaboration, optimize algorithms across devices, and develop computer vision tooling for data validation and visualization.

Senior Product Engineer

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They are seeking a Senior Product Engineer to build high-scale, high-reliability mobile systems for real-world recording and robotics, with end-to-end ownership across iOS and Android.

Application / Platform Engineer (Web + SDK)

Mecka AI is building the data infrastructure layer for robotics and embodied AI. As an Application / Platform Engineer, you will create web viewers and SDKs that enable teams and external developers to work with our data and hardware effectively.

Full-Stack Engineer, ML Tooling and Infrastructure

Mecka AI is building data infrastructure for robotics and embodied AI, including systems for data capture, labeling, and hardware-enabled workflows. The Full-Stack Engineer will own internal annotation tooling, data pipelines, quality measurement systems, and practical ML services such as PII blurring and model-assisted labeling for the Computer Vision Machine Learning team.

Research Scientist, SLAM & VIO

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They are seeking a Research Scientist (SLAM & Visual-Inertial Odometry) to build and validate state estimation systems that work in the real world, focusing on developing robust pipelines and algorithms for various visual odometry and SLAM tasks.

Senior Embedded / Edge Platform Lead

Mecka AI is building the data infrastructure layer for robotics and embodied AI. As the Senior Embedded / Edge Platform Lead, you will own the firmware and edge platform architecture, leading a team of engineers to ensure high performance and reliability of the embedded systems.

Senior Backend Software Engineer

Mecka AI is building data infrastructure for robotics and embodied AI by delivering real-world datasets for training, evaluation, and deployment of robotic systems. The Senior Backend Engineer will build and own reliable, high-throughput systems for ingesting, processing, storing, indexing, and serving petabyte-scale video and sensor data across cloud and GPU infrastructure.