Senior Computer Vision Software Engineer

ITW•Norwood, MA

1d•$140,000 - $160,000

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, advanced algorithm development, computational performance optimization, and integration with imaging hardware. The successful candidate will deliver robust, production-grade software for demanding real-time and high-accuracy measurement applications.

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.

Nice To Haves

Strong interpersonal, communication, and organizational skills.
Ability to create, collaborate, and work within team environments.
Innovative approach and strong problem-solving capabilities.
Self-starter with end-to-end ownership and a sense of urgency.
Experience with real-time machine vision measurement systems in aerospace, automotive, biomechanics, materials testing, or similar domains.
Experience with 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.
Optimize performance tradeoffs across resolution, frame rate, depth of field, and signal-to-noise ratio.
Work with hardware teams to integrate imaging systems with 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.