Computer Vision Engineer - The Visual Intelligence Architect

November 14

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Description

• Are you excited by the challenge of developing algorithms that enable machines to interpret and make sense of visual data? • Do you excel at creating computer vision systems that recognize, analyze, and respond to real-world environments? • If you’re ready to apply advanced vision technology in robotics, autonomous systems, or industrial applications, our client has the ideal role for you. • We’re looking for a Computer Vision Engineer (aka The Visual Intelligence Architect) to design and implement vision systems that empower machines to see and interact intelligently. • As a Computer Vision Engineer at our client, you’ll work with multidisciplinary teams to build solutions that process visual information, detect objects, and make real-time decisions. • Your expertise in image processing, machine learning, and algorithm development will be essential in delivering reliable and scalable vision systems that can perform in various dynamic environments. • Key Responsibilities: Develop and Optimize Computer Vision Algorithms, Implement and Train Machine Learning Models, Integrate Vision Systems into Robotics and Automation Platforms, Perform Calibration and Testing for Vision Hardware, Optimize for Real-Time Processing and Embedded Applications, Collaborate on Data Collection and Annotation Processes, Stay Updated on Computer Vision Advancements.

Requirements

• Expertise in Computer Vision and Image Processing: Strong understanding of computer vision concepts, including object detection, segmentation, and pattern recognition, with experience using libraries like OpenCV and scikit-image. • Proficiency in Deep Learning and Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or Keras for developing and training vision models. • Programming Skills in Python and C++: Proficiency in programming languages for developing algorithms, with experience in ROS (Robot Operating System) as a plus. • Experience with Sensors and Hardware Calibration: Familiarity with camera calibration, stereo vision, and other vision hardware, such as LIDAR and depth sensors. • Analytical and Problem-Solving Skills: Strong troubleshooting skills for refining algorithms, improving accuracy, and optimizing performance in real-world conditions. • Educational Requirements: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field. Equivalent experience in computer vision engineering may be considered. • Certifications or specialized courses in machine learning, computer vision, or image processing are advantageous. • Experience Requirements: 3+ years of experience in computer vision engineering, with a focus on robotics, autonomous systems, or similar applications. • Experience with embedded or edge computing for vision applications (e.g., NVIDIA Jetson, OpenCV on ARM platforms) is beneficial. • Familiarity with 3D computer vision, SLAM, or multi-view geometry is a plus.

Benefits

• Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums. • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year. • Work-Life Balance: Flexible work schedules and telecommuting options. • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs. • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources. • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage. • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges. • Tuition Reimbursement: Financial assistance for continuing education and professional development. • Community Engagement: Opportunities to participate in community service and volunteer activities. • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.