Imaging Systems Engineer

Twenty80 llc

Zeeland (MI)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Twenty80 llc in Zeeland, MI, is seeking a Camera Tuning Engineer to enhance imaging quality through ISP tuning, testing, and data analysis across multiple product lines.

You will collaborate with software and hardware teams, use Python or MATLAB for tuning workflows, and design validation tests to drive measurable improvements in image quality.

Familiar with cameras, imaging systems, and version control; strong analytical skills and debugging ability are essential for success.

Qualifications

  • Bachelor's degree in CS, CE, Math, or related field.
  • 2+ years of experience in image quality analysis or camera tuning.
  • Experience with ISP pipelines.
  • Proficiency in Python and/or MATLAB.
  • Experience with digital cameras, imaging systems, or video technologies.
  • Experience with Git or GitHub.
  • Ability to debug hardware and software.
  • Strong analytical and problem-solving skills.
  • MS Office proficiency.

Responsibilities

  • Develop expertise across ISP pipeline architectures and tools.
  • Tune and optimize ISP pipeline parameters to improve image quality.
  • Collaborate with software engineering teams to define and validate imaging enhancements.
  • Partner with stakeholders to understand image quality requirements and propose solutions.
  • Collect, analyze, and interpret image data using metrics and visual assessments.
  • Design, develop, and execute testing procedures to validate imaging performance.
  • Investigate and resolve hardware and software imaging issues.
  • Support customer-driven image quality improvements from field feedback.
  • Collaborate with third-party camera and ISP providers to resolve issues.
  • Document testing methodologies, tuning results, and findings.
  • Participate in product improvement initiatives and best practices.
  • Perform additional duties as assigned.

Skills

Image processing
Camera tuning
Python
MATLAB
Data analysis
Git
Troubleshooting
Analytical thinking
Microsoft Office

Education

Bachelor's degree in Computer Science

Tools

Git / GitHub
Linux

Job description

Role Summary

Our client, an engineering and technology organization, is seeking a Camera Tuning Engineer to support the development and optimization of advanced imaging and vision-based products. This role is responsible for improving image quality through image signal processing (ISP) tuning, testing, data analysis, and collaboration with cross‑functional engineering teams.

The Camera Tuning Engineer will work closely with software engineers, product stakeholders, and third‑party technology partners to optimize camera performance, resolve image quality issues, and support customer‑driven enhancements across multiple product lines.

Key Responsibilities
  • Develop expertise across multiple Image Signal Processing (ISP) pipeline architectures and associated development tools.
  • Tune and optimize ISP pipeline parameters to improve image quality across a variety of camera and vision products.
  • Collaborate with software engineering teams to define, review, implement, and validate imaging pipeline enhancements.
  • Partner with internal stakeholders to understand product‑specific image quality requirements and recommend technical solutions.
  • Collect, analyze, and interpret image data using both quantitative metrics and visual assessments to drive image quality improvements.
  • Design, develop, and execute automated and manual testing procedures to validate imaging performance.
  • Investigate, troubleshoot, and resolve hardware and software issues impacting camera performance.
  • Support customer‑driven image quality improvements by analyzing field feedback and resolving imaging concerns.
  • Collaborate with third‑party camera and ISP technology providers to resolve complex imaging issues.
  • Maintain documentation of testing methodologies, tuning results, and technical findings.
  • Participate in continuous product improvement initiatives and engineering best practices.
  • Perform additional duties as assigned.
Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.
  • Minimum of two (2) years of professional experience in image quality analysis, camera tuning, image processing, or a related field.
  • Experience working with Image Signal Processing (ISP) pipelines.
  • Strong programming or scripting experience using Python and/or MATLAB.
  • Experience working with digital cameras, imaging systems, video technologies, or photography‑related applications.
  • Experience using version control systems such as Git or GitHub.
  • Experience debugging both hardware and software issues.
  • Strong analytical, troubleshooting, and problem‑solving skills.
  • Ability to collect, analyze, and interpret technical data to improve system performance.
  • Proficiency with Microsoft Office applications.
Preferred Qualifications
  • Experience working in embedded hardware and software environments.
  • Experience with Linux development environments.
  • Knowledge of signal processing concepts and time‑series data analysis.
  • Experience with software development lifecycle (SDLC) practices.
  • Experience working in Agile development environments.
  • Customer‑facing experience supporting image quality tuning or product optimization.
  • Experience collaborating with third‑party camera, sensor, or ISP technology providers.
  • Industry experience in one or more of the following:
    • Automotive vision systems
    • Camera or imaging technology
    • Consumer electronics
    • Computer vision
    • Aerospace
    • Video processing technologies
    • Embedded systems
    • Fire protection or industrial imaging solutions
Ideal Background

Candidates are most successful in this role if they have hands‑on experience developing, testing, and optimizing imaging systems, with a strong foundation in camera technologies, image signal processing, and data‑driven image quality analysis. Experience working across software and hardware environments in a collaborative engineering setting is highly preferred.

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