What are the responsibilities and job description for the Video Processing Engineer position at Thinking Minds Inc.?
Job Details
Job Summary:
Ideal Candidate Should Have:
Job Description:
Thinking Minds Inc. is seeking a Video Processing Engineer for its client in Southern California. The ideal candidate will develop cutting-edge computer vision and machine learning algorithms for high-speed video processing applications in aerospace and defense technologies. This role involves designing, optimizing, and deploying AI/ML models on embedded systems to enhance real-time object detection, tracking, and classification.
Key Responsibilities:
Required Qualifications:
Preferred Qualifications:
- Location: Irvine CA
- Experience: Minimum 3 years
- Job Type: Permanent
Ideal Candidate Should Have:
- Strong expertise in computer vision and video processing for embedded systems.
- Proficiency in C/C and Python for algorithm development and optimization.
- Experience in AI/ML model design and deployment on resource-constrained platforms.
- Familiarity with GPU acceleration, FPGA implementation, and multi-core parallel processing.
- Understanding of real-time operating systems (RTOS) and sensor integration.
- Strong problem-solving and communication skills.
Job Description:
Thinking Minds Inc. is seeking a Video Processing Engineer for its client in Southern California. The ideal candidate will develop cutting-edge computer vision and machine learning algorithms for high-speed video processing applications in aerospace and defense technologies. This role involves designing, optimizing, and deploying AI/ML models on embedded systems to enhance real-time object detection, tracking, and classification.
Key Responsibilities:
- Develop and implement computer vision algorithms to analyze and process high-speed video feeds.
- Optimize AI/ML models for low-power embedded platforms, considering constraints like memory, processing power, and energy efficiency.
- Work on hardware-software integration, ensuring efficient performance on ARM-based SoCs, GPUs, and FPGAs.
- Debug and refine video processing pipelines for real-time applications.
- Stay updated with advancements in AI, machine learning, and video processing, proposing innovative solutions.
- Document and communicate complex technical concepts to engineering teams and stakeholders.
- Mentor junior engineers by providing technical guidance and expertise.
Required Qualifications:
- Bachelor's or higher in Computer Science, Electrical Engineering, Data Science, Physics, or related field.
- 3 years of industry experience in computer vision, machine learning, and embedded software development.
- Strong programming skills in C/C and Python.
- Experience with real-time video processing, including camera systems and sensor integration.
- Understanding of deep learning frameworks and AI/ML model deployment.
- Hands-on experience in GPU acceleration, FPGA programming, and multi-core parallel processing.
- Familiarity with RTOS and embedded software development.
Preferred Qualifications:
- Experience with debugging video processing pipelines.
- Knowledge of defense/aerospace applications is a plus.
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