Job description

Job Description: We have a new opportunity for a Senior Software Development Engineer to join our Engineering team. In this role you will be working within a collaborative team on the development of next generation non-contacting measurement technologies and processes for video extensometer products. You will lead the design, implementation, and optimization of advanced algorithms and systems and will have deep expertise across optical and imaging system design, and high‑performance, real‑time software implementation. The successful candidate will serve as both a technical authority and hands‑on contributor, working across algorithm development, computational performance optimization, and integration with imaging hardware. This role plays a critical part in delivering robust, production‑grade solutions used in demanding real‑time and high‑accuracy measurement applications. Key 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 closely 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 multi‑threading, 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 Knowledge, Skills and Abilities Required: 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. Desired attributes: Proven strong interpersonal, communication and organizational skills Able to create, collaborate and work within team environments. Innovative with strong problem-solving capabilities. Self-starter showing front to back ownership and sense of urgency Preferred: 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 Compensation Information: This position has a starting salary range of $140,000 to $160,000 per year and is incentive eligible. Pay is determined by several factors, including a candidate’s experience, relevant skills, and qualifications 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.

Requirements

Must-haves

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 closely 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 multi‑threading, 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
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.
Desired attributes: Proven strong interpersonal, communication and organizational skills
Able to create, collaborate and work within team environments.
Innovative with strong problem-solving capabilities.

Nice-to-haves

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

Application prep

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision