TRL11 is a venture backed deep tech / defence tech startup bringing cutting-edge video technology to Aerospace applications. Based in Irvine, CA, we are seeking highly passionate, skilled and experienced Algorithms/Video Engineers with a focus on cutting edge video processing technology, to join our team. You will be responsible for the design, development, and implementation of advanced computer vision and video processing pipelines to support our patent pending Space Aware Video Software Suite. Join our team and play a crucial role in shaping the future of Human Space Exploration and US National Security.

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.
• Document and communicate technical concepts, algorithms, and implementation details effectively to team members and stakeholders.
• Experience debugging with video processing pipelines would be nice
• Mentor junior team members, providing guidance and technical expertise to foster their professional growth.

REQUIREMENTS

• Bachelor’s or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or related field.
• Minimum of 3 years of industry experience in developing and implementing machine learning and computer vision algorithms and workflows.
• 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.

• 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.
• Document and communicate technical concepts, algorithms, and implementation details effectively to team members and stakeholders.
• Experience debugging with video processing pipelines would be nice
• Mentor junior team members, providing guidance and technical expertise to foster their professional growth