Mecka
Mecka

Mecka Physical AI के लिए बुनियादी ढाँचा तैयार करती है और रोबोटिक्स तथा embodied-AI टीमों को वास्तविक दुनिया में मानव गतिविधियों को ऐसे सिस्टम में बदलने में मदद करती है जो सीख सकें, जिनका मूल्यांकन किया जा सके और जो प्रयोगशाला के बाहर भरोसेमंद ढंग से काम कर सकें। इसका Egoverse प्लेटफ़ॉर्म बड़े पैमाने के egocentric डेटासेट्स को दृष्टि, गहराई, स्पर्श-संवेदन, गति और स्थानीयकरण से जुड़े टेलीमेट्री डेटा के साथ जोड़ता है।

डेवलपर टूल्स, APIs और एंटरप्राइज़ सेवाओं के माध्यम से Mecka कार्य-विशिष्ट रोबोटिक सिस्टम्स के मूल्यांकन और तैनाती में सहायता करती है। कंपनी हार्डवेयर OEMs, मॉडल डेवलपर्स और वाणिज्यिक साझेदारों के साथ काम करती है तथा स्वयं रोबोट बनाए बिना रोबोटिक्स के लिए डेटा और संचालन संबंधी परत उपलब्ध कराती है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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