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Mecka
Mecka
11 – 50 Employees
Artificial IntelligenceEnterpriseSaaS

Mecka builds infrastructure for Physical AI, helping robotics and embodied-AI teams turn real-world human activity into systems that can learn, be evaluated, and operate reliably outside the lab. Its Egoverse platform combines large-scale egocentric datasets with telemetry across vision, depth, tactile sensing, motion, and localization.

Through developer tools, APIs, and enterprise services, Mecka supports the evaluation and deployment of task-specific robotic systems. The company works with hardware OEMs, model developers, and commercial partners, providing the data and operational layer for robotics without manufacturing robots itself.

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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.

USUnited StatesNYNew York
$180,000 – $250,000 / year
HybridFull-timeSeniorEnglish RequiredBackend EngineerSoftware Engineer
Cloud

Description

  • 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.

Requirements

  • 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.

Benefits

  • 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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