Sr. Vision Software Engineer

San Diego, CA, US • Posted 30+ days ago • Updated 10 hours ago
Full Time
On-site
USD $125,000.00 - 140,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Testing
  • Project Lifecycle Management
  • Research
  • Computer Vision
  • Metrology
  • Automated Testing
  • Quality Inspection
  • Python
  • Collaboration
  • Mechanical Engineering
  • Electrical Engineering
  • Manufacturing Engineering
  • Production Support
  • Manufacturing
  • Sales
  • Oracle Linux
  • Supervision
  • Leadership
  • Training
  • Science
  • Microsoft Windows
  • WPF
  • Computer Hardware
  • C++
  • C#
  • .NET
  • Microsoft Visual Studio
  • Git
  • Version Control
  • Machine Vision
  • Image Processing
  • Algorithms
  • OpenCV
  • OOD
  • Software Development
  • TensorFlow
  • Machine Learning (ML)
  • D3.js
  • Optics
  • Lighting
  • UML
  • Communication
  • Mentorship
  • Insurance
  • Life Insurance

Summary

Job Description

Essential Functions/Major Responsibilities:
  1. Contribute to design, testing, and integration across the full project lifecycle to deliver production-ready vision capabilities.
  2. Research and develop scalable, modern computer vision for 2D/3D imaging, camera calibration, object detection, image processing, segmentation, metrology, alignment, and identification.
  3. Engineer vision solutions for automated test handlers and other quality inspection equipment.
  4. Design, implement, and deploy full-stack machine vision (image-based) and machine learning solutions using C++, C#, and Python.
  5. Collaborate closely with mechanical, electrical, and manufacturing engineering teams to integrate and validate vision solutions.
  6. Provide production support for the test floor and manufacturing by troubleshooting vision issues, analyzing logs/images, and implementing corrective improvements as needed.
  7. Interface with customers and sales on projects as required.

Supervisory Responsibility: May provide work leadership and training to lower-level professional employees but not required.

Qualifications:
  • Education/Training: Bachelor of Science in Engineering or Science. Master's degree preferred.
  • Experience: 5+ years developing machine vision software in industrial environments; 5+ years C++/C#/.NET Windows desktop development (WPF); hands-on integration with vision hardware (industrial cameras, lenses, and illumination).
  • Skills/Technical Requirements (Required): Strong C++ and/or C#/.NET skills (Visual Studio) with Git-based source control; practical experience developing machine vision/image-processing algorithms (e.g., OpenCV or similar libraries) and applying object-oriented design across the full software development lifecycle.
  • Skills/Technical Requirements (Preferred): Experience with TensorFlow (or similar ML frameworks), 2D/3D imaging and camera calibration, optics/lighting, UML, and delivering production diagnostics and support in a factory environment; excellent written and verbal communication and ability to mentor others.

Job Conditions/Physical Demands:

Domestic or international travel may be required. Prolonged periods of sitting at a computer terminal. Use of a keyboard.

Protective Devices Required:As required in designated areas.

Compensation: The estimated base pay range for this position is $125,000 to $140,000 per year, depending on qualifications, experience, education, and other job-related factors. This range represents Cohu's good faith estimate of what it reasonably expects to pay for this role upon hire. This role may also be eligible for other compensation programs as determined by company policy.

Featured benefits
  • Medical, dental & vision insurance
  • 401(k) with company matching contributions
  • Employee Stock Purchase Plan
  • Tuition assistance
  • Disability & life insurance
  • Profit Sharing
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX11d4a1
  • Position Id: 220920beee34c9204c64f6653a37bca5
  • Posted 30+ days ago
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