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Machine Vision Application Engineer Jobs in Goodyear, AZ

Medtronic

Process Engineer II

Tempe, AZ · On-site

We anticipate the application window for this opening will close on - 3 Aug 2026 Careers that ... machine vision and automated metrology tools * Prefers to be hands-on with the equipment/process ...

Medtronic

Process Engineer II

Tempe, AZ · On-site

We anticipate the application window for this opening will close on - 3 Aug 2026 Careers that ... machine vision and automated metrology tools * Prefers to be hands-on with the equipment/process ...

Atos

APPLICATION DEVELOPER

Phoenix, AZ

... and vision AI. As a next-generation technology leader, Eviden offers a unique combination of ... Phoenix, Arizona Position Type: Full Time - Experienced Senior Mainframe Engineer with strong hands ...

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All JobsMachine Vision Application Engineer JobsMachine Vision Application Engineer Jobs in Goodyear, AZ

Machine Vision Application Engineer information

See Goodyear, AZ salary details

$49.3K

$108.2K

$148.5K

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

As of Aug 7, 2026, the average yearly pay for machine vision application engineer in Goodyear, AZ is $108,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $131,900.00 per year, depending on experience, location, and employer.

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 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.

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 cities near Goodyear, AZ are hiring for Machine Vision Application Engineer jobs? Cities near Goodyear, AZ with the most Machine Vision Application Engineer job openings:
Machine Vision Application Engineer jobs near you

Python Audio Application Developer

Cirrus Logic

Chandler, AZ • On-site

Full-time

Re-posted 6 days ago

Job description

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn't do it without our extraordinary workforce - and that's where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!
Cirrus Logic is seeking a highly skilled Python Audio Application Developer to design and develop critical internal and customer-facing algorithms, along with configuration, calibration, and test tools, for our industry-leading mixed-signal ICs. In this role, you'll build sophisticated demonstration, calibration, and tuning tools, as well as testing platforms that showcase our IP, help win new business, and ensure system quality. You'll also collaborate closely with field application engineers and customers to integrate our technology into next-generation consumer products and provide customers tools for their development and production processes.
Responsibilities
  • Design and develop algorithms, real-time testing and tuning software for Cirrus Logic ICs.
  • Build host-side Python applications to test, configure and demonstrate Cirrus Logic ICs.
  • Collaborate with cross-functional teams including hardware, software tools, applications, and SQA.
  • Support customer integration and field engineering efforts.

Required Skills and Qualifications
  • BS or MS in Computer Science, Electrical Engineering, or related field.
  • 5+ years of experience in audio signal processing and interfacing with hardware and drivers on Windows platforms.
  • Customer-facing development experience in the Laptop/Desktop PC space.
  • Advanced proficiency with Python application development, particularly hardware interfacing, and solid C/C++ experience
  • Excellent communication and documentation abilities.

Preferred Skills and Qualifications
  • Experience with audio related electronics (codecs, filters, amplifiers, etc.)
  • Strong lab experience with acoustic measurement and audio quality evaluation metrics
  • Experience with classical machine learning techniques and modern neural network architectures for audio processing.
  • Experience with Matlab for testing, control and algorithm development.
  • Familiarity with Git, Visual Studio, Visual Studio Code, and PyTorch.
  • Knowledge of debugging tools (JTAG, SWD, GDB) and peripheral interfaces (SPI, I2C, etc.).

Export control restrictions based upon applicable laws and regulations would prohibit candidates who are nationals of certain embargoed countries from working in this position without Cirrus Logic first obtaining an export license. Candidates for this role must be able to access technical data without a requirement for an export license. We are unable to sponsor or obtain export licenses for this role.
Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law.

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