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Edge AI Systems Engineer

OmniVision Technologies, Inc.
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We're seeking an experienced Technical Specialist to join our team focused on developing and supporting cutting-edge Edge AI devices. This role combines hands-on software development with strong analytical and communication skills.  

Key Responsibilities: 

  • Device Verification: Conduct thorough checks on Edge AI devices to ensure all required features are functioning correctly. Promptly identify and report any issues to relevant internal teams. 
  • Documentation Creation: Develop comprehensive documentation for various Development Kits, including those for AI, embedded software, and host software. Ensure these resources are clear, concise, and valuable for developers. 
  • Software Development: Create demo applications, SDKs (both for device and host), and automated testing software. This role requires expertise in optimizing neural network models and post-processing techniques. 
  • Customer Support: Serve as the primary point of contact for customers, addressing their inquiries and providing support for AI model deployment on Edge AI devices. Collaborate closely with internal teams to gather customer requirements and translate them into actionable solutions. 

Required Qualifications: 

  • Strong proficiency in PyTorch and Python 
  • Familiarity with AI model building blocks, inference flow, and AI model compiler 
  • Experience in analyzing and optimizing Neural Network models 
  • Experience in embedded software development using RTOS or Linux 
  • Proficiency in C/C++ 
  • Excellent communication skills and experience working with various teams 
  • Proven track record in customer support 
  • Self-motivated team player with strong interpersonal skills 

Preferred Qualifications: 

  • Master's degree in Computer Science or Electrical Engineering (MSCE/EE) 
  • Strong debugging skills 
  • Proficiency with essential tools: git, GCC, CMake, Makefile, Eclipse 
  • Ability to clean up and optimize code 
  • Ability to bring up a board with preparing firmware 
  • Knowledge of Peripheral Interfaces: I2C, GPIO, SPI, USB 
  • Understanding of RISC processors and heterogeneous multi-core systems