Mecka

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.

We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems — where model performance is dictated by data quality.

The Role

We are hiring a Senior Backend Engineer to build the systems that ingest, process, store, and serve petabyte-scale video and sensor data.

This is a true senior role. You will own architecture and reliability for production services that operate at extreme scale: heavy cloud networking, distributed GPU compute (thousands of GPUs), millions of GPU-hours, and massive video pipelines.

Ideal background: backend systems for video services (e.g., YouTube, Twitch, Netflix, TikTok, video ads/streaming, CDN/edge video, large-scale media processing).

What You’ll Work On Video + Data Platform Backend

• Design and build high-throughput services for upload/ingest, processing, indexing, retrieval, and access control.

• Build APIs and internal primitives that make large datasets usable for research, labeling, QA, and model training.

Scale, Reliability, and Quality

• Own service quality end-to-end: correctness, latency, uptime, capacity planning, and cost.

• Build observability (metrics/logs/tracing), incident response, and operational tooling that prevents recurring failures.

Distributed Compute + Networking

• Build systems that coordinate large jobs across cloud infrastructure and GPU fleets.

• Make data movement reliable and fast: storage I/O, network throughput, queuing, retries, idempotency, and backpressure.

Who You Are Required Background

• 7+ years of backend/software engineering experience (or equivalent impact).

• Strong system design fundamentals and proven experience operating production systems.

• Excellent debugging and operational judgment (you can find the root cause, not just patch symptoms).

Strong Signals

• You have built backend systems for video/media at scale (streaming, transcoding, processing, storage, CDN/edge, ingestion, metadata/search).

• You think in terms of failure modes, invariants, and clean interfaces.

• You write maintainable systems with crisp docs and strong ownership.

Why This Role

• Build the backend that powers petabyte-scale robotics datasets and the training pipelines that depend on them.

• Operate at a scale that forces great engineering: data volume, networking, reliability, and compute orchestration.

• High ownership and direct impact across product, operations, and research.