Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details
Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

ICONMA, LLC

Measurement Systems Software Engineer - C#/.NET

Career Insights for Software Systems Engineer

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on New York data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Software Systems Engineer is responsible for maintaining, developing, designing and testing various software systems that allow the hardware to function properly. Analyzes software system requirements, designs software system structures, and validates systems functionality. May collaborate with other software developers to implement system requirements and ensure software quality.

$120,107 / year median in New York

Explore Career

Job Description

Measurement Systems Software Engineer - C#/.NET#26-35031

$47.98-$52.98 per hour

Corning, NY

Onsite

Job Description

Our Client, a Business Maunufacturing and Supply company, is looking for a Measurement Systems Software Engineer - C#/.NET for their Corning, NY location.

Responsibilities:

Design, develop, test, and maintain software for industrial measurement and machine vision systems, primarily using C#/.NET.

Support software communication, coordination, configuration, and data handling across distributed measurement system applications.

Support the transfer of technology from development into manufacturing through software build, release, deployment, and system integration activities.

Help evaluate, adopt, and apply AI-assisted and agentic coding tools to improve software development workflows, code quality, testing, and engineering efficiency.

Contribute to the definition of best practices for incorporating AI development tools into day-to-day software engineering activities in a controlled and effective manner.

Create and maintain technical documentation, including software specifications and support documentation.

Train engineering, maintenance, and operations personnel on the use, support, and maintenance of deployed systems.

Provide remote and onsite troubleshooting of software and integrated measurement systems.

Requirements:

Prefer BS, MS, or PhD in Computer Science, Software Engineering, Electrical Engineering, Optical Engineering, Physics, or a related field.

Experience developing software applications in C#/.NET for production use, system integration, or industrial applications.

Experience designing, developing, and troubleshooting software for distributed, multi-process, or integrated systems.

Familiarity with software communication and messaging methods such as publishing/subscribe architectures, message queues, or similar approaches.

Experience with source control, software versioning, and build/release workflows using tools such as Git, GitLab, automated build systems, and package management tools.

Experience supporting software deployment, troubleshooting, and long-term support in development or manufacturing environments.

Strong written and verbal communication skills, including the ability to document technical work and communicate effectively with cross-functional teams.

Interest in applying AI-assisted and agentic coding tools to improve software development workflows, code quality, testing, and engineering productivity.

Experience with WPF user interface development frameworks in .NET.

Experience with motion control systems, cameras, image acquisition hardware, and integrated imaging platforms.

Hands-on experience working with imaging hardware, cameras, measurement equipment, or related instrumentation.

Experience applying machine learning or computer vision methods to inspection, classification, or measurement problems.

Familiarity with databases, containerization, or high-performance computing environments.

Experience evaluating, adopting, or helping define best practices for AI-enabled software development workflows.

Knowledge of machine vision and image processing methods such as feature extraction, edge detection, morphology, classification, inspection, and metrology.

Experience with machine vision or image processing libraries such as Halcon, OpenCV, LabVIEW, or similar tools.

Strong interpersonal skills and the ability to work collaboratively with diverse teams.

Results-oriented with excellent problem-solving abilities and a quick learning mindset.

Ability to multitask effectively while maintaining attention to detail.

Comfortable working independently and adapting to dynamic environments.