Senior Computer Vision Software Engineer

ITW•Norwood, MA

About The Position

Join the Engineering team to develop next-generation non-contact measurement technologies and processes for video extensometer products. The role combines technical leadership and hands-on contribution across optical and imaging system design, algorithm development, computational performance optimization, and integration with imaging hardware. The position is central to delivering robust, production-grade solutions for demanding real-time and high-accuracy measurement applications. The successful candidate will lead the design, implementation, and optimization of advanced algorithms and systems, applying deep expertise in optical and imaging system design and high-performance, real-time software implementation. They will work collaboratively across teams to deliver reliable software and imaging solutions.

Requirements

Degree in Mechanical Engineering, Computer Vision, Computer Science, Applied Mathematics, Physics, or a related field.
Extensive hands-on experience with machine vision software development, including practical deployment on real imaging systems.
Strong foundation in computer vision, numerical methods, optimization, and image processing.
Proven experience developing high-performance, production-quality software for computationally intensive applications.
Ability to prototype algorithms in Matlab and deploy production implementations in C++.
Demonstrated ability to optimize software for speed, memory efficiency, and robustness.
Strong interpersonal, communication, and organizational skills.
Ability to create, collaborate, and work within team environments.
Innovative, with strong problem-solving capabilities.
Self-starter with front-to-back ownership and a sense of urgency.

Nice To Haves

Experience with real-time machine vision measurement systems in aerospace, automotive, biomechanics, materials testing, or similar domains.
GPU acceleration and heterogeneous computing architectures.
Familiarity with uncertainty quantification or metrology standards.
Experience delivering commercial or customer-deployed scientific software products.
Familiarity with material testing systems.

Responsibilities

Collaborate on the design and selection of optical systems, including lenses, cameras, illumination, and stereo configurations.
Design, implement, and maintain image analysis techniques and algorithms.
Develop and refine correlation metrics, interpolation schemes, and strain calculation methods.
Contribute to camera calibration, stereo reconstruction, and geometric correction.
Understand and optimize performance tradeoffs across resolution, frame rate, depth of field, and signal-to-noise ratio.
Work with hardware teams to ensure seamless integration between imaging systems and DIC software.
Optimize software for real-time or near-real-time execution, including low-latency processing pipelines.
Apply performance optimization techniques such as multithreading, SIMD/vectorization, GPU acceleration (e.g., CUDA/OpenCL), and memory-efficient architectures.
Profile and benchmark code to identify and eliminate computational bottlenecks.
Balance accuracy, robustness, and execution speed for production deployment.