R&D Engineer

ITWRogers, AR
1d$85,000 - $110,000

About The Position

Role Overview We are seeking a highly motivated R&D Engineer to develop next-generation reconstruction and analysis algorithms for advanced X-ray CT imaging systems. This role sits at the intersection of: Computational imaging Machine learning Physics-based modeling High-performance computing You will design, implement, and validate production-ready reconstruction pipelines that improve image quality, speed, robustness, and automation. This position combines hands-on algorithm development, experimental validation, and cross-functional collaboration to translate research concepts into real-world, deployable solutions.

Requirements

  • Master’s degree and/or relevant work experience in technical field: Computer Science Electrical Engineering Applied Mathematics Imaging Science Computational Physics
  • Experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience processing and analyzing 3D or volumetric datasets
  • Strong understanding of: Inverse problems Numerical optimization Signal and/or image processing
  • Experience with GPU programming and CUDA
  • Proficiency in Python and/or C++
  • Strong analytical thinking and experimental validation skills

Nice To Haves

  • Experience with tomographic reconstruction methods (e.g., FBP, iterative reconstruction)
  • Background in computational physics or imaging system modeling
  • Experience transitioning research code into production environments
  • Publication or patent experience
  • Familiarity with high-performance computing environments

Responsibilities

  • Develop and optimize advanced reconstruction algorithms for X-ray CT and related imaging modalities
  • Design physics-based and data-driven reconstruction pipelines
  • Implement machine learning and deep learning approaches for reconstruction, artifact reduction, and image enhancement
  • Solve inverse problems using advanced numerical optimization techniques
  • Build high-performance implementations using GPU acceleration (CUDA) and parallel computing methods
  • Process and analyze large-scale 3D volumetric datasets
  • Prototype new algorithmic concepts and transition them into production software
  • Design and execute simulation and experimental validation studies
  • Collaborate closely with hardware, applications, and software engineering teams
  • Document algorithms, validation results, and software modules clearly and thoroughly
  • Contribute to technical publications, patents, white papers, or internal innovation initiatives
  • Present technical findings internally and externally, including at conferences when appropriate

Benefits

  • At North Star Imaging (an ITW Company), we believe our people are our greatest strength which is why we offer a highly competitive and comprehensive benefits package designed to support you and your family.
  • Our offerings include medical, dental, and vision coverage; a 401(k) with company match; generous paid time off and holiday plans; short- and long-term disability coverage; paid parental leave; tuition reimbursement and education assistance programs; and additional resources that support financial wellness, career growth, and overall well-being.
  • We are committed to investing in our employees both personally and professionally.
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