Applied Sensor Analytics Engineer

Requisition Id 12002 

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:  

We are seeking an Applied Sensor Analytics Engineer who will focus on application of image/signal processing and machine learning/AI methods to energy, science, and national security challenges.  This position resides in the Multimodal Sensor Analytics (MSA) group in the Energy Sensing Analytics and Communications section at Oak Ridge National Laboratory (ORNL).  

As part of our team, you will be working with engineers developing novel sensing systems for electrification (grid, storage, production), manufacturing, and national security challenges being addressed by ORNL.  These sensor systems will include multiple data modalities (images, video, and time-series data).  Two potential initial application areas for this position are multi-modal analytics of data from additive manufacturing systems, and AI based knowledge extraction from video data streams for robotic control for automated recycling. 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our 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.

Major Duties/Responsibilities: 

• Responsible for independently solving complex technical problems
• Development of advanced software and hardware solutions for sensing applications
• Build software 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
• 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.

Basic Qualifications:

• A MS degree in Electrical/Computer Engineering/Computer Science or a related discipline
• A minimum of 10 years of experience in developing algorithms for image/sensor systems.
• Understanding of advanced AI/ML networks and experience modifying those networks for application specific needs
• 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

Preferred Qualifications:

• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.
• 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

Benefits at ORNL:  

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

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.