Platform Engineer (Bengaluru)

Platform Engineer (Bengaluru)

18 Aug
|
Humyn Labs
|
Bengaluru

18 Aug

Humyn Labs

Bengaluru

About Humyn Labs
Humyn Labs builds the intelligence layer for physical-world AI — systems that perceive, reason, and act in real environments. Our work sits at the intersection of egocentric video understanding, embodied AI, robotics perception, and voice-driven interaction. We move quick, obsess over data quality, and ship at scale.

Humyn Labs converts human action - across sound, sight, movement, and touch - into high-quality multi-modal data signals for physical AI. Operating across 20+ countries in India, southeast Asia, Latin America, and the Middle East: the real-world environments where physical AI deploys, not the labs where it is built.

Our data isn't just collected; it's evaluated, defended, and production-ready. Because before AI can be trusted, its training data must be.

THE OPPORTUNITY
We are building the production data engine behind large-scale egocentric (first-person) data collection for robotics and embodied-AI research. Raw multimodal recordings - stereo video, depth, IMU, hand and camera pose - flow off hardware in the field,



through GPU-heavy ML labelling stages, and out as clean, training-ready datasets consumed by model teams.

The pipeline is real and running today: a multi-stage system on AWS where every stage -sensor normalization, metric stereo depth, monocular depth, depth fusion, 3D hand-pose labelling, visual-inertial odometry, ML quality validation, LLM-based metadata passes - runs as a containerized GPU workload, orchestrated end to end by Step Functions and AWS Batch, with all infrastructure defined in Terraform.

Your job is to own this platform end to end - and, most importantly, to be the bridge between
research and production. Researchers hand you a prototype that works on one machine, on one clip, with a hand-tuned environment. You turn it into a versioned, containerized, orchestrated, cost-efficient pipeline stage that reliably processes thousands of hours of data. That gap - from "it works in a notebook" to "it ran on 10,000

📌 Platform Engineer (Bengaluru)
🏢 Humyn Labs
📍 Bengaluru

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