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Machine Vision Application Engineer Jobs in Eden Prairie, MN

3M

Automated Inspection & Converting Engineer

Maplewood, MN · On-site

$124K - $151K/yr

Five (5) years of professional experience implementing automated inspection, machine vision, or ... Please note: your application may not be considered if you do not provide your education and work ...

3M

Automated Inspection & Converting Engineer

Maplewood, MN · On-site

$124K - $151K/yr

Five (5) years of professional experience implementing automated inspection, machine vision, or ... Please note: your application may not be considered if you do not provide your education and work ...

Nordsonhcm

Electrical Engineer

Minneapolis, MN

$85K - $110K/yr

Design electronic circuits for 3D measurement products that utilize machine vision and pattern ... Mentoring of Junior Engineers and Technicians. Education and Experience Requirements * BS ...

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All JobsMachine Vision Application Engineer JobsMachine Vision Application Engineer Jobs in Eden Prairie, MN

Machine Vision Application Engineer information

See Eden Prairie, MN salary details

$51.5K

$112.9K

$155K

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

As of Aug 20, 2026, the average yearly pay for machine vision application engineer in Eden Prairie, MN is $112,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $137,600.00 per year, depending on experience, location, and employer.

What is a machine vision application engineer?

A Machine Vision Application Engineer is a technical professional who designs, develops, and implements machine vision systems used for automated inspection, measurement, and guidance in manufacturing and industrial environments. They work with cameras, sensors, lighting, and image processing software to create solutions that help machines 'see' and interpret visual information. Their role often involves collaborating with clients to understand application requirements, selecting appropriate hardware and software, and ensuring successful system integration. Machine Vision Application Engineers play a key role in improving product quality, production efficiency, and automation processes.

How does a machine vision application engineer typically collaborate with other departments during a project?

Machine Vision Application Engineers frequently work in cross-functional teams, collaborating closely with software developers, mechanical engineers, and production staff to ensure vision systems integrate seamlessly into manufacturing processes. They are often involved from the initial requirements gathering stage through to implementation and troubleshooting, providing technical expertise and translating complex imaging needs into practical solutions. Regular communication with quality assurance and operations teams is also common, as these engineers help fine-tune systems to maintain accuracy and efficiency on the production floor.

What are the key skills and qualifications needed to thrive as a machine vision application engineer, and why are they important?

To thrive as a Machine Vision Application Engineer, you need a solid background in engineering or computer science, experience with image processing, and a strong understanding of optics and camera technologies. Familiarity with machine vision software (such as Cognex, Halcon, or OpenCV), programming languages (like C++ or Python), and industrial automation systems is typically required. Strong problem-solving skills, effective communication, and project management abilities help you excel in client-facing and cross-disciplinary environments. These skills are crucial for designing, implementing, and supporting robust vision systems that meet manufacturing and automation needs.

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

AspectMachine Vision Application EngineerComputer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with vision systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; strong programming skills
Work EnvironmentManufacturing, automation, quality control settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, manufacturingAI, autonomous vehicles, image analysis
Common Search/ComparisonYesYes

While both roles involve image processing and vision systems, the Machine Vision Application Engineer focuses on implementing vision solutions in industrial settings, whereas the Computer Vision Engineer works on developing algorithms and AI models for broader applications like autonomous vehicles and AI research.

What are popular job titles related to Machine Vision Application Engineer jobs in Eden Prairie, MN?

For Machine Vision Application Engineer jobs in Eden Prairie, MN, the most frequently searched job titles are:

Machine Vision Application Engineer jobs near you
Infographic showing various Machine Vision Application Engineer job openings in Eden Prairie, MN as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $112,863 per year, or $54.3 per hour.

Principal Mobile & Application Software Engineer

SANUWAVE, Inc

Eden Prairie, MN • On-site

$145K - $190K/yr

Full-time

Re-posted yesterday

Job description

The Principal Mobile + Application Software Engineer is a hands-on technical leader responsible for the design, development, and delivery of the top-level software platform for next-generation medical imaging devices. This includes mobile applications (iOS/Android), system-level software integration, user interface development, and overall application architecture.

This role owns the transformation of processed imaging and sensor data into intuitive, reliable, and clinically actionable user experiences. Working in close partnership with Vision Software and Vision Systems Engineering, this position integrates complex multimodal data (RGB, thermal, fluorescence, NIRS, 3D) into a cohesive application layer.

In addition to development, this role is responsible for software process execution (JIRA/Agile), documentation, and software verification and validation within a regulated medical device environment.

ROLES AND RESPONSIBILITIES

Application Architecture + Technical Leadership:

Own the architecture and implementation of the top-level software platform, including mobile applications and system integration layers.

Define application-level software architecture, including:

- Data flow from embedded device → mobile application → cloud/storage.

- Real-time visualization and interaction models.

- System state management and device control interfaces.

Establish performance targets for application responsiveness, reliability, and usability.

Serve as the primary technical lead for application-layer software across the program.

Mobile Application Development (iOS + Android):

Lead development of cross-platform or native mobile applications for medical imaging systems.

Design and implement:

- Real-time visualization of multimodal imaging data.

- UI/UX for clinical workflows (capture, review, annotation, export).

- Device connectivity (Wi-Fi, BLE, USB).

Optimize performance on mobile SoCs (CPU/GPU/NPU) for real-time interaction.

Ensure consistent behavior and performance across iOS and Android platforms.

Collaborate with UX/UI designers and clinical stakeholders to deliver intuitive, high-value interfaces.

Support multispectral, NIR, fluorescence, thermal, or depth-based imaging pipelines as required by the product roadmap.

System Integration (Device ↔ App ↔ Cloud):

Define and implement communication between embedded imaging hardware and mobile applications:

- Streaming, buffering, and synchronization of image data.

- Command/control interfaces for device operation (LEDs, capture modes, sensors).

Architect data handling strategies:

- On-device processing vs mobile vs cloud partitioning.

- Compression, storage, and transfer of large imaging datasets.

Support integration with backend/cloud systems and EHR workflows where applicable.

Software Process, Program Execution + JIRA Ownership:

Own software execution framework using Agile/Scrum methodologies.

Build and manage:

- JIRA epics, stories, and sprint plans.

- Cross-functional dependencies (vision SW, firmware, hardware).

Translate system and product requirements into clear, actionable software work packages.

Drive execution discipline across the software team (planning, tracking, delivery).

Identify risks, bottlenecks, and mitigation strategies early.

Verification, Validation + Regulatory Compliance:

Define and execute software verification and validation strategies for the application layer.

Develop test frameworks for:

- Functional validation.

- UI/UX validation.

- System integration testing.

Ensure compliance with medical device standards including:

- IEC 62304

- ISO 13485

Support Design History File (DHF) development, including:

- Software requirements.

- Architecture documentation.

- Traceability

- Verification evidence.

Participate in risk management and usability engineering activities issues.

Cross-Functional Collaboration:

Partner closely with: Vision Software Engineers (algorithms, image processing), Vision Systems Engineers (hardware, optics, sensors), Firmware and embedded teams.

Translate complex technical outputs into usable application features.

Participate in system-level tradeoffs:

- Latency vs fidelity.

- On-device vs. mobile compute.

- UX vs technical constraints.

Interface with external partners, contractors, and software vendors.

Documentation, Productization and Compliance:

Create and maintain clear, structured documentation for:

- Application architecture.

- APIs and interfaces.

- Data models and workflows.

Support regulatory submissions and audits with well-organized documentation.

Contribute to product readiness including:

- Release management.

- Field support tools.

- Post-market updates.

Stakeholder Engagement:

Support technical discussions with suppliers, manufacturing partners, and internal stakeholders.

Assist with product launches, field issue investigations, and post-market support as needed.

Translate clinical, system, and business requirements into actionable imaging engineering specifications.

MINIMUM EXPERIENCE AND EDUCATION REQUIREMENTS

Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred).

8–12+ years of experience in software development, with significant focus on mobile and application-layer systems (medical device experience strongly preferred).

Strong experience in:

- iOS (Swift) and/or Android (Kotlin/Java).

- Cross-platform frameworks (React Native, Flutter) is a plus.

Proven experience building and shipping complex applications that interface with hardware devices.

Experience with:

- Real-time data visualization.

- Networking (Wi-Fi, BLE, USB communication).

- API and system integration.

Strong understanding of software architecture and system design.

Experience with Agile development and tools such as JIRA and Confluence.

Experience in regulated environments (medical device preferred).

Familiarity with software V+V and documentation practices.

Startup or early-stage product development experience strongly preferred.

Able to function with urgency in high-pressure, prototype-driven development cycles.

Excellent verbal, written communication, especially with development and quality teams.

Demonstrated business acumen with the proven ability to work independently as well as collaboratively in a cross-functional team environment.