Mecka
Mecka

Mecka Physical AI uchun infratuzilma yaratadi va robototexnika hamda jismoniy muhitda ishlaydigan sunʼiy intellekt jamoalariga real hayotdagi inson faoliyatini o‘rganadigan, baholanadigan va laboratoriyadan tashqarida ishonchli ishlaydigan tizimlarga aylantirishda yordam beradi. Uning Egoverse platformasi katta hajmdagi egosentrik maʼlumotlar to‘plamlarini ko‘rish, chuqurlik, taktil sezish, harakat va joylashuv haqidagi telemetriya bilan birlashtiradi.

Mecka dasturchilar uchun vositalar, API’lar va korporativ xizmatlar orqali muayyan vazifalarga mo‘ljallangan robot tizimlarini baholash va joriy etishni qo‘llab-quvvatlaydi. Kompaniya robotlarning o‘zini ishlab chiqarmasdan, robototexnika uchun maʼlumotlar va operatsion qatlamni taqdim etadi hamda apparat OEM ishlab chiqaruvchilari, model yaratuvchilari va tijoriy hamkorlar bilan ishlaydi.

Senior Backend Software Engineer, Hybrid in New York

Build backend infrastructure for Mecka’s robotics platform, handling high-volume video and sensor data. Lead distributed compute, cloud networking, reliability, and large-scale data pipelines.

Tavsif

  • Develop high-throughput services for data ingestion, processing, indexing, retrieval, and access control.
  • Create APIs and shared tools for research, labeling, quality assurance, and model-training datasets.
  • Take responsibility for service correctness, latency, availability, capacity planning, and cost.
  • Establish observability with metrics, logs, and traces.
  • Respond to incidents and build operational tools that reduce repeat failures.
  • Develop systems to coordinate large workloads across cloud infrastructure and GPU fleets.
  • Increase the reliability and speed of data movement across storage, networks, queues, retries, idempotent operations, and backpressure controls.
  • Lead architecture and reliability for production services at extreme scale.
  • Work with product, operations, and research teams.

Talablar

  • At least 7 years of backend or software engineering experience, or equivalent impact.
  • Strong foundations in system design.
  • Demonstrated experience running production systems.
  • Excellent debugging skills and sound operational judgment.
  • Experience building large-scale backend systems for video or media, such as streaming, transcoding, processing, storage, CDN or edge services, ingestion, or metadata and search.
  • Background in high-volume data processing, distributed computing, cloud networking, or video and media infrastructure.
  • Experience making AI coding tools a core part of software development, including code generation and review, debugging, testing, and parallel task execution.
  • Ability to work with video and sensor data at petabyte scale.
  • Experience with intensive cloud networking, distributed GPU compute, large video pipelines, storage I/O, network throughput, queues, retries, idempotency, and backpressure.
  • Ability to build maintainable systems, document them clearly, and take strong ownership.
  • Authorization to work in the location where the role is posted.

Imtiyozlar

  • Equity.
  • Health and wellness benefits.
  • Additional company programs.
  • An inclusive, supportive candidate experience.
  • Interview accommodations are available.
  • Equal treatment and opportunity throughout recruitment, selection, and employment.

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