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Visionpro Jobs in Tennessee (NOW HIRING)

Experience with machine vision hardware and software tools (e.g., cameras, lighting, VisionPro, OpenCV, TensorFlow, PyTorch). Minimum Level of Knowledge and Skills Required: * Proficient in ...

Experience with machine vision hardware and software tools (e.g., cameras, lighting, VisionPro, OpenCV, TensorFlow, PyTorch). Minimum Level of Knowledge and Skills Required: * Proficient in ...

Visionpro information

What are the key skills and qualifications needed to thrive as a VisionPro (Machine Vision Engineer), and why are they important?

To excel as a VisionPro (Machine Vision Engineer), you need a solid background in image processing, computer vision algorithms, and a degree in engineering or computer science. Familiarity with Cognex VisionPro software, programming languages like C++ or Python, and experience with industrial automation systems are crucial. Strong problem-solving skills, attention to detail, and effective communication help you design and implement robust vision solutions. These competencies ensure accurate inspection, efficient automation, and seamless integration within manufacturing environments.

What is the difference between Visionpro vs Vision Analyst?

AspectVisionproVision Analyst
Required CredentialsTypically requires certification in machine vision software or related technical trainingOften requires a degree in vision science, computer science, or related field
Work EnvironmentPrimarily in manufacturing, quality control, or automation settingsIn office or lab environments, analyzing data and developing vision solutions
Employer & Industry UsageUsed by manufacturing companies for automation and quality assuranceEmployed in research, development, and quality analysis across various industries

Visionpro is a software platform used mainly in manufacturing for automation and quality control, requiring technical certifications. In contrast, a Vision Analyst typically holds a degree and focuses on analyzing visual data and developing vision solutions. Both roles are integral to the machine vision industry but differ in focus and work environment.

What are VisionPro professionals?

VisionPro professionals are experts who specialize in Apple's Vision Pro, a mixed reality headset designed for immersive experiences and spatial computing. These professionals may work in areas such as app development, user interface design, or support for the Vision Pro platform. Their responsibilities often include creating or optimizing software applications, troubleshooting hardware and software issues, and staying up-to-date with the latest advancements in extended reality technology. VisionPro professionals may collaborate with product teams, designers, and engineers to deliver engaging augmented and virtual reality experiences. As the technology is relatively new, roles and requirements are rapidly evolving.

What are some common challenges faced by VisionPro developers when creating immersive experiences, and how can they be overcome?

VisionPro developers often encounter challenges such as optimizing performance for real-time 3D rendering, ensuring user comfort in extended reality environments, and effectively integrating spatial audio and gesture controls. To overcome these, developers collaborate closely with UX designers and hardware engineers, utilize best practices for efficient asset management, and stay updated on the latest SDKs and frameworks provided by Apple. Regular testing across different scenarios and gathering user feedback are also essential for refining immersive applications and delivering high-quality experiences.
Infographic showing various Visionpro job openings in Tennessee as of July 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, and 9% Remote job distribution.
Process Engineer 3

Process Engineer 3

Denso

Maryville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


DENSO rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers


Job description


Job Summary:
Under limited supervision, designs, develops, and deploys AI-based vision systems to improve manufacturing and assembly processes across North America. Utilizes advanced machine learning and computer vision techniques to enhance production quality, robustness, and efficiency. Collaborates closely with a cross-functional Manufacturing affiliate network through the AI Vision Inspection Council, serving as a technical contributor and subject-matter expert to identify, test, validate, and standardize AI vision technologies. Supports capability development within Manufacturing affiliates through structured training, knowledge transfer, and implementation guidance. Self-starter capable of managing multiple initiatives with minimal direction while coordinating regionally aligned AI vision strategies.
Essential Duties and Responsibilities:
  1. System Development:
    1. Design, develop, and deploy AI-based vision systems for manufacturing and automation applications.
    2. Collaborate with mechanical, electrical, and software engineering teams to integrate vision systems into existing and new automation equipment.
    3. Support AI Vision Inspection Council activities by assessing technology readiness and applicability across NA Manufacturing environment.
  2. Implementation and Testing
    1. Develop algorithms for object detection, classification, and defect recognition.
    2. Test and validate AI vision systems in collaboration with Manufacturing affiliates to ensure accuracy, robustness, and production readiness.
    3. Support structured pilot deployments and document results to inform broader NA implementation decisions.
  3. Optimization and Sustainment
    1. Monitor deployed AI vision systems and support continuous performance optimization.
    2. Provide technical guidance for troubleshooting and long-term sustainment within Manufacturing affiliates.
    3. Support upgrades and evolution of vision systems as a part of standardized NA roadmaps.
  4. Road-mapping and Coordination
    1. Develop and manage AI vision implementation maps and roadmaps in coordination with the AI Vision Inspection Council.
    2. Align technical solutions with Manufacturing affiliate readiness, resources, and strategic priorities.
    3. Document standards, validation results, and deployment guidance for reuse across the NA region.
  5. Collaboration, Traning, and Knowledge Transfer
    1. Work closely with Automation, Quality, IT/Digital, and Manufacturing affiliate teams.
    2. Develop and deliver technical training materials, workshops, and on-the-job support for Manufacturing affiliate engineers.
    3. Enable Manufacturing affiliates to independently deploy, operate, and sustain AI vision inspection systems.

Minimum Level of Education and Training Required:
  • Requires a Bachelor's degree in Electrical or Mechanical engineering, Computer Science, Robotics, or related field and 3 or more years of relevant experience.
  • Proven experience in developing and deploying AI-based vision systems in an industrial or manufacturing setting.
  • Strong background in machine learning, computer vision, and image processing techniques.
  • Experience with machine vision hardware and software tools (e.g., cameras, lighting, VisionPro, OpenCV, TensorFlow, PyTorch).

Minimum Level of Knowledge and Skills Required:
  • Proficient in programming languages such as Python, C++, or similar.
  • Knowledge of deep learning frameworks and tools for vision applications.
  • Strong problem-solving skills and attention to detail.
  • Excellent project management and organizational skills.
  • Effective communication and teamwork abilities.

Preferred Qualifications:
  • Experience with industrial automation and robotics
  • Familiarity with real-time operating systems and embedded systems
  • Knowledge of production processes and quality control methodologies
  • Experience supporting cross-functional governance bodies, councils, or communities of practice within a manufacturing or automation environment.

Physical Requirements and Work Environment:
Visual requirements include color, depth perception and field of vision. Physical requirements include standing, walking, pushing, pulling, lifting, talking, hearing and repetitive motions. Position work environment is typically indoors in pleasant, well-lighted area with comfortable temperatures and in a controlled environment where no significant amounts of dust, fumes or odors. Unavoidable accidents and health hazards are unlikely.
Benefits Summary:
  • Medical, Dental, Vision, Prescription Drug Plans
  • 401K with 4% Company Match
  • Vacation/PTO and 13 Paid Holidays
  • Bonus Program
  • FSA/HSA and Dependent Care Programs
  • Company provided Life, Disability, ADD, and Business Travel Insurance
  • Various No Cost Wellness & Chronic Condition Management Programs
  • Various Optional Insurance Programs such as Legal, Identity Theft, Critical Illness, etc.
  • Tuition Reimbursement
  • Career Development and Ongoing Training
  • Employee Assistance Program
  • Employee Spotlight and Recognition Program
  • Volunteer opportunities
  • Onsite Fitness Center (vary by location)
  • Cafeteria and food markets (vary by location)
  • Onsite Health Clinic and Pharmacy (vary by location)

Candidates residing 50+ miles from the work location are eligible for relocation assistance.
Annual Salary: $96,400 - $120,400

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