Process Engineer 3

Posted 2 Days Ago
Be an Early Applicant
Maryville, TN, USA
In-Office
96K-120K Annually
Mid level
Automotive • Manufacturing
The Role
Design, develop, and deploy AI-based computer vision systems for manufacturing. Build detection/classification/defect algorithms, integrate with automation, validate and optimize deployments, document standards, and train affiliate engineers to sustain solutions across North America.
Summary Generated by Built In

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
 

Skills Required

  • Bachelor's degree in Electrical or Mechanical Engineering, Computer Science, Robotics, or related field and 3+ years relevant experience.
  • Proven experience developing and deploying AI-based vision systems in industrial or manufacturing settings.
  • Strong background in machine learning, computer vision, and image processing techniques.
  • Experience with machine vision hardware and software tools (cameras, lighting, VisionPro, OpenCV, TensorFlow, PyTorch).
  • Proficient in programming languages such as Python and C++.
  • Knowledge of deep learning frameworks and tools for vision applications.
  • Strong problem-solving, project management, organizational, communication, and teamwork skills.
  • 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 manufacturing or automation.

DENSO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DENSO and has not been reviewed or approved by DENSO.

  • Healthcare Strength Medical coverage includes multiple plan designs through a major carrier, telemedicine, and chronic‑condition programs bundled with enrollment. On‑site family health centers at select locations add convenient primary care and pharmacy access for eligible members.
  • Retirement Support The 401(k) program uses automatic enrollment with a straightforward dollar‑for‑dollar company match on initial contributions and an annual true‑up via a recognized recordkeeper. Auto‑increase and the potential for discretionary employer contributions reinforce long‑term savings support.
  • Wellbeing & Lifestyle Benefits Wellness incentives can reduce medical premiums, and resources span musculoskeletal care, weight management, digestive health, and behavioral health at no additional cost when enrolled. Site‑based amenities like on‑site care, fitness options, and tuition reimbursement expand lifestyle value where available.

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The Company
HQ: Kariya, Japan
18,627 Employees
Year Founded: 1947

What We Do

DENSO is one of the world's largest automotive suppliers with a 75-year history of providing advanced automotive systems and technology to automakers worldwide. While our products are featured on nearly every vehicle make and model on the road today, we're also looking to innovate beyond automotive so we can maximize how we support the evolving needs of society. Globally, we have 158,000 employees, including 27,000+ in North America, working together every day to pursue our Two Great Causes: Green -- which represents our goal of achieving carbon neutrality by 2035 through our products, processes and facilities; and Peace of Mind -- which focuses on developing solutions for safer and more seamless experiences across society. Together, they help us pursue our mission of contributing to a better world.

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