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Machine Vision Sales Engineer Jobs (NOW HIRING)

IMPERX, Inc

Technical Sales Engineer

Boca Raton, FL · On-site

Technical Sales Engineer Boca Raton, FL US Imperx, Inc. delivers cutting‑edge solutions for ... machine vision and scientific imaging, coordinating with internal project managers and engineers to ...

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Machine Vision Sales Engineer information

See salary details

$43.5K

$96.2K

$149K

How much do machine vision sales engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine vision sales engineer in the United States is $96,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $112,500.00 per year, depending on experience, location, and employer.

What is a machine vision sales engineer?

Machine Vision Sales Engineers are professionals who specialize in selling and supporting machine vision systems, which use cameras and computers to inspect and analyze objects in industrial or manufacturing environments. They combine technical expertise with sales skills to understand customer needs, recommend appropriate vision solutions, and assist with implementation. These engineers often work closely with both customers and internal engineering teams to ensure successful deployment of vision technologies. Their role includes providing product demonstrations, technical presentations, and ongoing customer support.

What are the key skills and qualifications needed to thrive as a machine vision sales engineer?

To thrive as a Machine Vision Sales Engineer, you need a solid background in engineering or technical sales, with knowledge of machine vision systems, optics, and automation. Familiarity with image processing software, hardware integration, and CRM tools, as well as relevant certifications like Certified Vision Professional (CVP), is often required. Excellent communication, problem-solving, and relationship-building skills help you translate complex technology into client solutions and foster long-term partnerships. These skills are crucial for understanding client needs, delivering effective solutions, and driving sales growth in a highly technical market.

What are the common challenges faced by machine vision sales engineers when integrating solutions for clients?

Machine Vision Sales Engineers often encounter challenges such as aligning client requirements with the capabilities of available vision technology, addressing compatibility issues with existing production systems, and effectively communicating complex technical features to non-technical stakeholders. Additionally, they must ensure that proposed solutions meet both budgetary and performance expectations, which may require customized demonstrations or proof-of-concept setups. Success in this role often depends on strong collaboration with both clients and engineering teams to ensure seamless integration and customer satisfaction.

What is the difference between Machine Vision Sales Engineer vs Machine Vision Application Engineer?

AspectMachine Vision Sales EngineerMachine Vision Application Engineer
CredentialsTechnical degree, sales experience, industry certificationsTechnical degree, engineering background, industry certifications
Work EnvironmentCustomer-facing, sales meetings, trade showsDesign labs, project development, client site support
Employer & Industry UsageManufacturers, integrators, suppliers in automationManufacturers, system integrators, R&D teams
Search & Comparison IntentSales, product solutions, industry applicationsTechnical solutions, system design, application support

The main difference is that Machine Vision Sales Engineers focus on selling solutions and building client relationships, while Machine Vision Application Engineers concentrate on designing and implementing technical systems. Both roles require technical knowledge, but their primary focus and daily activities differ.

What are popular job titles related to Machine Vision Sales Engineer jobs?

For Machine Vision Sales Engineer jobs, the most frequently searched job titles are:

Infographic showing various Machine Vision Sales Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $96,194 per year, or $46.2 per hour.

.NET Software Engineer - Machine Vision

Corning, NY • On-site

DivIHN
See more jobs at DivIHNexternal

Contractor

Posted 8 days ago

Job description

For further inquiries regarding the following opportunity, please contact our Talent Specialist, Marshelin at (224) 507-1280
Title: .NET Software Engineer - Machine Vision
Location: Onsite at Corning, NY
Duration: 12 Months with potential to extend
Work Schedule: 40 hours per week, flexible schedule as needed.
Travel Requirements: Up to 10-30% domestic and international travel may be required, with trips ranging from one day to several weeks.
Work Authorization: Must be legally authorized to work in the United States.
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Job Description:
Summary:
Client is seeking a Measurement Systems Software Engineer to support the design, development, integration, and deployment of software for industrial measurement and inspection systems used in manufacturing environments across client's businesses. The role emphasizes C#/.NET software development, hardware integration, and deployment of robust solutions for production use. The ideal candidate is a hands-on, collaborative, and self-driven engineer who is comfortable working closely with imaging hardware and machine vision technologies to deliver reliable, production-ready measurement systems.
Scope of Position:
  • Responsible for the design, development, integration, and support of software for advanced measurement and inspection systems used in manufacturing.
  • This role supports distributed software applications that coordinate imaging, motion, I/O, sequencing, and data handling to perform product inspection, quality control, and related manufacturing functions.
  • The engineer will develop new software capabilities, support software release and deployment activities, and work closely with cross-functional teams to implement and sustain robust production solutions across client's businesses.
  • This role will also help evaluate and establish effective AI-assisted software development practices, including the use of agentic coding tools, to improve development workflows and team productivity.

Day-to-Day 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.
  • Develop and maintain C#/.NET production software applications.
  • Support development of Client machine vision deployment platform.
  • Integrate software with industrial hardware, sensors, cameras, and motion systems.
  • Perform testing, validation, debugging, and troubleshooting.
  • Support deployment of solutions in manufacturing plants.

Primary Responsibilities:
  • C#/.NET application development.
  • WPF user interface development.
  • Software architecture and component lifecycle management.
  • Hardware and software integration testing.
  • Motion control and industrial device communication.

Secondary Responsibilities:
  • Support machine vision system deployments.
  • Assist with plant troubleshooting and commissioning activities.
  • Work with PLC-connected equipment.
  • Support hardware validation in lab environments.
  • Participate in field testing and deployment activities.

Required Experience/Skills:
  • 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 publish/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.
  • Strong C# development experience.
  • .NET application development experience.
  • Experience with production software development.
  • Industrial system integration experience.
  • Experience interfacing with sensors, motors, cameras, or industrial devices.
  • Ability to troubleshoot software on physical equipment.
  • Strong problem-solving and technical curiosity.

Desired Experience/Skills:
  • 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.
  • Machine vision experience, image processing knowledge, openCV exposure, robotics integration experience, PLC communication experience, SCADA system exposure, motion control system experience, manufacturing deployment experience.

Soft Skills:
  • 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.

Education & Experience Requirements:
  • Prefer BS, MS, or PhD in Computer Science, Software Engineering, Electrical Engineering, Optical Engineering, Physics, or a related field, bachelor's degree preferred but not required.
  • 3 years minimum, but 5+ years preferred with the skills and experiences listed in the Required Skills Section.
  • Hiring manager values technical skills and aptitude over education credentials.
  • Preferred experience level is 3+ years of relevant industry experience.
  • Relevant internships, academic projects, and research experience may be considered if directly related to industrial systems or software development.
  • Candidates without degrees should demonstrate stronger hands-on industry experience.

Travel Update:
  • Domestic travel: approximately 10-30% preferred.
  • Travel primarily supports deployments and troubleshooting at manufacturing sites.

Selection Process:
  • Top candidates will do a 30 minute initial screening with manager
  • Selected candidates will do a 90 minute panel interview during which they will present on their skills and experiences related to the role.
  • Manager will consider non-local candidates who are willing to relocate at their own expense.

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