Mecka.Ai

Senior Software Engineer, Backend

🇺🇸 New York, Stany Zjednoczone, New York City, Stany Zjednoczone Na miejscu IT Senior Opublikowano Cze 1, 2026
Tryb pracy Na miejscu
Poziom doświadczenia Senior
Kategoria IT
Kategoria IT Inżynier Back End
Język English
Opublikowano 1 czerwca 2026
Ostatnio sprawdzono 2 czerwca 2026

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2 lokalizacji
Stany Zjednoczone
  • New York, Stany Zjednoczone
  • New York City, Stany Zjednoczone
Kontekst JobGrid

Podsumowanie roli od JobGrid

Senior Software Engineer, Backend at Mecka.Ai: New York, Stany Zjednoczone, New York City, Stany Zjednoczone; Na miejscu; Senior; IT; Inżynier Back End. This listing is part of JobGrid's Oferty pracy dla software engineerów z publicznych stron firm. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: New York, Stany Zjednoczone, New York City, Stany Zjednoczone, Na miejscu
  • Role classification: IT, Inżynier Back End, Senior
  • Source freshness: checked by JobGrid on 2026-06-02.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

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.