Jobs · Engineering · California

Jr Algorithms/Video Engineer

TRL11 · Irvine, CA · 1 mo ago
On-siteEngineeringFull-time

Responsibilities

  • Develop and implement computer vision algorithms on embedded systems, used for identifying, tracking and classifying anomalies, trends, and intent of airborne and ground based objects using high speed cameras
  • Design and optimize AI/ML models for deployment on resource-constrained embedded platforms, considering factors such as memory, processing power, and energy efficiency
  • Participate in the entire software development lifecycle, from requirements gathering and system design to testing, deployment, and maintenance
  • Perform algorithm evaluation and optimization to ensure efficient and accurate real-time performance of high frame rate machine vision systems
  • Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate and propose innovative solutions to enhance our product offerings

Requirements

  • Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or related field
  • Strong programming skills in C/C++, Python required, with experience in embedded software development a plus
  • Solid understanding of AI/ML techniques, deep learning frameworks, and computer vision
  • Experience with hardware-software integration and optimization for embedded systems, including GPU acceleration, FPGA implementation, multi-core parallel processing
  • Experience working with video processing pipelines and workflows
  • Proficiency in working with popular embedded platforms, such as ARM-based SoCs and microcontrollers
  • Familiarity with basic image processing techniques, camera systems, and sensor integration
  • Knowledge of real-time operating systems (RTOS) and software development for embedded systems
  • Excellent problem-solving skills and the ability to work independently as well as in a team environment
  • Strong communication skills to effectively convey complex technical concepts and collaborate with cross-functional teams

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