Helmerich & Payne

About Helmerich & Payne

The Computer Vision Developer is a part of the Computer Vision team driving development of core perception components within the agreed upon scope and schedule as defined by the management team. Job duties include, but are not limited to the following: Involved in research and development effort of advanced product-critical computer vision components covering key product critical perception features such as head pose tracking, eye tracking, environment mapping and sensor calibration. Participate in projects involving deep learning and image analysis. Use 3D computer graphic and algorithms to enable computer vision to analyze 3D images. Integrate embedded platforms unto a deep neural network design. Design intuitive systems capable of learning and improving. Utilize computer vision and deep learning to increase intelligence and produce actionable data. Work with robot guidance, IoT applications, and security vulnerabilities in computer vision and AI. Write maintainable, reusable code, leveraging test-driven principles to develop high-quality geometric vision and machine learning modules. Troubleshoot and resolve software defects and other technical issues. Demonstrate the H&P Company values: Actively C.A.R.E., Service Attitude, Innovative Spirit, and Teamwork. Qualifications: Bachelor’s Degree in Computer Science, Electrical Engineering, Information Systems or related field or equivalent experience required. Master’s Degree or PHD in computer science, related math or technical field preferred. 5+ years leadership experience. 3+ years’ experience with C++. 3+ years’ experience in Python and Pytorch. Previous experience with Computer Vision and Machine Learning. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Working knowledge of deep learning, machine learning, natural language processing (NLP) and statistics. Strong knowledge of Python and Pytorch. Experience with CUDA Core. Understanding of dual-sensor synchronization method for stereoscopic capture with two physically independent sensor modules. Understanding of Recurrent Neural Networks (RNN) and Convolution Neural Network (CNN). Understanding of compression algorithms (i.e., MPEG), data visualization, and mechanical design impact, object detection, and image processing. Experience with Tensor Flow & KERAS. Superior analytical and quantitative skills; experience in data collection, model building, testing and validation. Excellent written and oral communication skills with the ability to present and communicate effectively with all levels of management and customers. Exceptional attention to detail, organizational, and project management skills.

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Company Info

Legal Form: Inc

Company Type: Empresa - pública

Company Size: 5001 - 10000

Revenue: 1 - 5 million (USD)

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Job Ads found: 628

Job Ads per Month: 13.4

Hiring Locations: 23

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