C++ Software Engineer for Edge AI Solutions

2 weeks ago


New York, New York, United States Liquid AI Full time
Job Overview

Liquid AI is on the lookout for a proficient C++ Software Engineer to spearhead the effective implementation of our advanced models across a variety of edge AI hardware platforms, such as Raspberry Pi, Qualcomm devices, and mobile devices. This position is vital for the upkeep, enhancement, and adaptation of models across diverse systems.

The ideal candidate will possess a robust engineering background with a strong focus on systems architecture and C/C++ programming. They should be self-driven, capable of working autonomously, and have a fervent interest in performance enhancement. Experience in mobile application development and a comprehensive understanding of cache-optimized algorithms will be highly regarded.

Key Responsibilities

  • Model Implementation: Oversee the implementation and upkeep of AI models on edge hardware, ensuring peak performance.
  • Performance Enhancement: Refine models for various hardware platforms, with an emphasis on NPUs and mobile devices.
  • Adaptation: Supervise the adaptation of models to different platforms, improving compatibility and performance.
  • Upkeep: Regularly update and maintain models to guarantee they operate efficiently on designated hardware.
Essential Skills
  • Systems Expertise: Comprehensive knowledge of cache architecture, vector processing, CPU-GPU interactions, and other fundamental systems expertise.
  • Programming Skills: Mastery of C/C++ is mandatory. Familiarity with Swift, Java, or Kotlin for iOS/Android development is highly advantageous.
  • Self-Sufficiency: Capability to work independently and propel projects without oversight.
Preferred Skills/Attributes
  • Cache-Optimized Algorithms: Demonstrated experience with cache-optimized algorithms. This role necessitates a profound understanding that surpasses average knowledge in this domain.
  • Performance Orientation: A competitive spirit focused on achieving the fastest CPU inference stack. This position is ideal for individuals who view optimization as a competitive challenge.


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