Computer Vision Engineer

at  Oak Ridge National Laboratory

Requisition Id 12140
ORNL is a U.S. Department of Energy (DOE) Office of Science national laboratory, with an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,200 people! ORNL’s decadal vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. Come join us and help solve the world’s most challenging energy problems!

OVERVIEW:

The Manufacturing Systems Analytics (MSA) group at the Oak Ridge National Laboratory (ORNL) conducts applied machine learning and decision science research and development for energy applications. To support ORNL strategic R&D activities in advanced manufacturing, we are seeking creative and dynamic candidates to fill multiple Computer Vision Engineer positions. The selected candidates will work at the Manufacturing Demonstration Facility (MDF - https://www.ornl.gov/facility/mdf/) to design, develop, and deploy computer vision solutions to perform real time quality control of advanced manufacturing processes.

BASIC QUALIFICATIONS:

• B.S. in computer science, or closely related field and a minimum of five years of work experience
• Substantial knowledge in computer vision and optical designs
• Proficiency in modern C/C++ and Python
• Proficient with computer vision and AI libraries such as OpenCV, CUDA, TensorFlow, and Keras
• Excellent verbal and written communication skills
• The ability to work in a very dynamic team environment is required

PREFERRED QUALIFICATIONS:

• M.S. in computer science, or closely related field and three years of work experience
• Experience in designing and building original algorithms for data processing and understanding
• Experience developing on embedded computer vision and AI platforms such as NVidia Jetson, Raspberry Pi, and/or Beaglebone AI
  This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
  We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
  If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
  ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer

PURPOSE:

The Manufacturing Demonstration Facility (MDF) is home to a cohort of 3D printers, machining, and hybrid systems used to produce complex components in a wide range of materials and sizes. To succeed in your day-to-day operations, you will have access to state-of-the-art manufacturing systems and material characterization equipment, as well as access to an extensive suite of sensors, embedded hardware, and high-performance computing capabilities. In this world-class environment, you will be working with a talented team of scientists and engineers on cutting-edge R&D projects.
Your expertise, which combines computer vision, image processing, machine learning, and data analytics, will be challenged to develop software and hardware solutions addressing industry-relevant problems related to advanced manufacturing quality control and process optimization. You will also accelerate the deployment of these solutions to the industry. Your responsibilities will include working on data collection tasks that require you to design, configure, and install imaging setups on several manufacturing systems. This will enable you to capture characteristic features of the process and subsequently develop data processing techniques to gain greater insight into the quality of the manufactured components.
The data collected is expected to encompass several imaging modalities (e.g., 2D, 3D, thermal, multispectral, ultrasound, x-ray), offering you multiple opportunities to successfully expand your expertise, skills, and career. In this fast-paced environment, you will have the satisfaction of personally contributing to the development of technologies that address the challenges faced by the US manufacturing industry.

MAJOR DUTIES/RESPONSIBILITIES:

• Responsible for independently solving complex technical problems
• Development of advanced software and hardware solutions for computer vision applications
• Design and configure imaging systems comprising one or multiple cameras for in-situ data collection
• Development of software tools and algorithms to collect and analyze data, including complex multidimensional datasets
• Build software using C/C++, Python, and CMake, writing clean and well-structured code
• Write maintainable code with documentation and unit test
• Implement various algorithms for computation at the edge, with a focus on high performance calculation
• Support R&D staff members on their projects
• General support of research and development needs within the MDF
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.