R&D Engineer
North Star Imaging
•
Rogers, MN
0
0
0
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Not Applicable
Posted March 26, 2026
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Responsibilities
Commitments
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
Commitments
Present technical findings internally and externally, including at conferences when appropriate
Not Met Priorities
What still needs stronger evidence
Requirements
- 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 Helpful (But Not Required)
Preferred Skills
- Additional experience that may be beneficial includes:
- 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
Education
- (Not required) – Master’s degree and/or relevant work experience in technical field:
- (Not required) – Computer Science
- (Not required) – Electrical Engineering
- (Not required) – Applied Mathematics
- (Not required) – Imaging Science
Job Description
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.
What You’ll Do
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
What You Bring
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 Helpful (But Not Required)
We recognize that strong candidates may not meet every listed qualification. Additional experience that may be beneficial includes:
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
Why Join NSI
Work on cutting-edge CT technology used across high-impact industries
See your algorithms move from research to real-world industrial systems
Collaborate with multidisciplinary experts across hardware, software, and applications
Contribute to innovation in nondestructive testing and advanced imaging
At North Star Imaging, we are committed to building a team that reflects a wide range of experiences, backgrounds, and perspectives. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we still encourage you to apply.
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.
Compensation Information
Compensation for this position ranges from $85,000 - $110,000, based on education and experience.
ITW is an equal opportunity employer. We value our colleagues’ unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential.
As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all aspects of the employment relationship.
All qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.
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.
What You’ll Do
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
What You Bring
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 Helpful (But Not Required)
We recognize that strong candidates may not meet every listed qualification. Additional experience that may be beneficial includes:
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
Why Join NSI
Work on cutting-edge CT technology used across high-impact industries
See your algorithms move from research to real-world industrial systems
Collaborate with multidisciplinary experts across hardware, software, and applications
Contribute to innovation in nondestructive testing and advanced imaging
At North Star Imaging, we are committed to building a team that reflects a wide range of experiences, backgrounds, and perspectives. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we still encourage you to apply.
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.
Compensation Information
Compensation for this position ranges from $85,000 - $110,000, based on education and experience.
ITW is an equal opportunity employer. We value our colleagues’ unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential.
As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all aspects of the employment relationship.
All qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.