Computer Vision / Machine Learning R&D Engineer

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT’s technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit www.bwxt.com. Follow us on LinkedIn, X, Facebook and Instagram.

 

 

 

 

 

BWXT is currently seeking a Computer Vision / Machine Learning R&D Engineer for its Lynchburg, VA location!

 

BWXT is People Strong, Innovation Driven - be part of BWXT’s innovation hub. BWXT’s Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers.

BWXT Advanced Technologies (AT) is seeking a Computer Vision / Machine Learning R&D Engineer with an interest in applications of computer vision to complex manufacturing processes.  Your skills in machine vision, analytics, machine learning, sensors or robotics will support the research and development of a wide range of nuclear products for space applications, clean power, and propulsion.       

 

This position is requires travel and can be eligible for relocation benefits dependent on the candidate.    

 

If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you. 

 

Job Description / Duties:

• Develop physics informed and constrained machine learning models that are integrated with machine vision classifiers, to identify and classify manufacturing defects and process variation.
• Work on image classifiers, object detectors, video understanding models, multi-modal classifiers, etc.
• Work to develop and improved sensor systems and hardware based directly on model performance.
• Work with engineering teams to implement model pipeline and deploy the service at scale.
• Collaborate with data analysts to understand and find data patterns.

 

 

Job Qualifications / Requirements:

• This is an innovation role, must be self-starting and comfortable supporting multiple teams, systems and developing products.
• Bachelors degree in Electrical Engineering, Mechanical Engineering, Physics, or a related field, or equivalent professional experience. A relevant master’s degree or PhD can count towards some of the required professional experience.
• A minimum of four (4) years of relevant professional experience.
• Deep expertise in computer vision and machine learning, with a strong focus on deep generative models (e.g., GANs, VAEs, diffusion models).
• Experience in signal processing with demonstrated knowledge and application of advanced signal processing techniques.
• Knowledge of modern vision data methods, such as 3D Gaussian Splatting, neural volume rendering, is a plus.
• Travel (30-40%) domestic and international is required.
• Must be a US Citizen.
• Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of