(Open Application) Image Processing / Computer Vision Engineer

OptoFidelity Oy; Seattle (WA); Hybrid; USD 90,000 - 150,000; Full time

Benefits offered by this job

401(k) match

Medical, dental, vision

Life insurance

Paid time off

Relocation assistance

Team events

Job summary

OptoFidelity is seeking image processing and computer vision engineers to design, develop, and optimize imaging algorithms for AR/VR/MR, camera architectures, and sensing platforms. This open application role aligns candidates with teams based on experience and strengths, spanning hardware, optics, software, and research.

You will work with cross‑functional teams to deliver robust imaging solutions, contributing to imaging pipelines, testing, and documentation across hybrid/on-site roles.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Imaging Science, Physics, or a related field.
• Experience with image processing and/or computer vision fundamentals.
• Proficiency in Python and/or MATLAB for algorithm development and data analysis.
• Understanding of image formation, imaging pipelines, and camera systems.
• Strong problem‑solving skills and ability to work independently or collaboratively.

Responsibilities

• Design, develop, and optimize image processing and computer vision algorithms for real-world imaging systems.
• Build and maintain software tools and frameworks for image analysis, simulation, and validation.
• Develop algorithms for image enhancement, denoising, deblurring, calibration, reconstruction, segmentation, detection, or tracking.
• Analyze image quality using objective and subjective metrics; support system-level performance evaluation.
• Implement solutions in Python and/or MATLAB, with opportunities to work in C/C++, GPU acceleration, or cloud-based workflows depending on the role.
• Collaborate with optics, hardware, firmware, and product teams.
• Support data collection, automation, testing, and validation of imaging pipelines.
• Document designs, results, and best practices to support scalable and maintainable solutions.

Skills

Image processing

Computer vision

Python

MATLAB

Camera systems

Problem solving

Education

Bachelor’s degree in Computer Science, Electrical Engineering, Imaging Science, Physics, or related field

Master’s or PhD preferred for senior roles

Tools

CUDA

OpenCL

Metal

Job description

Location: Seattle Greater Area or Bay Area (Hybrid/Onsite depending on role)

Job Type: Full-time or Contract

Level: Entry-level to Senior/Principal (based on experience)

About the Role

Our client is continuously seeking talented Image Processing and Computer Vision Engineers to support current and upcoming projects across AR/VR/MR, imaging systems, camera architectures, and advanced sensing platforms. This is an open application role, allowing us to align candidates with the right team, level, and project based on experience and technical strengths. You’ll work closely with cross‑functional teams spanning hardware, optics, software, and research to design, develop, and optimize imaging algorithms and systems that power next‑generation products.

Responsibilities

• Design, develop, and optimize image processing and computer vision algorithms for real‑world imaging systems
• Build and maintain software tools and frameworks for image analysis, simulation, and validation
• Develop algorithms for tasks such as image enhancement, denoising, deblurring, calibration, reconstruction, segmentation, detection, or tracking
• Analyze image quality using objective and subjective metrics; support system‑level performance evaluation
• Implement solutions in Python and/or MATLAB, with opportunities to work in C/C++, GPU acceleration, or cloud‑based workflows depending on the role
• Collaborate with cross‑functional partners including optics, hardware, firmware, and product teams
• Support data collection, automation, testing, and validation of imaging pipelines
• Document designs, results, and best practices to support scalable and maintainable solutions

Basic Qualifications (vary by level)

• Bachelor’s degree in Computer Science, Electrical Engineering, Imaging Science, Physics, or a related field (Master’s or PhD preferred for senior roles)
• Experience with image processing and/or computer vision fundamentals
• Proficiency in Python and/or MATLAB for algorithm development and data analysis
• Understanding of image formation, imaging pipelines, and camera systems
• Strong problem‑solving skills and ability to work independently or collaboratively

Preferred / Nice‑to‑Have Qualifications

• Experience with computer vision or machine learning frameworks
• C/C++ and/or GPU programming (CUDA, OpenCL, Metal, etc.)
• Familiarity with camera calibration, image quality metrics, or optical systems
• Experience working with real image data from cameras or sensors
• Exposure to cloud platforms (AWS, GCP, Azure) or large‑scale data processing
• Background in AR/VR, robotics, automotive, mobile imaging, or consumer electronics

Salary, Perks & Benefits

Competitive salary (commensurate with experience and level)

• 401(k) with company match or Roth options
• Medical, dental, and vision insurance
• Optional life insurance coverage
• Paid time off
• Relocation assistance for qualified candidates
• Team events and professional development opportunities

Why Join OptoFidelity?

At OptoFidelity, you’ll work in a small, fast‑growing, bench‑first, startup‑style environment where agency and autonomy are encouraged. You’ll gain hands‑on exposure to cutting‑edge AR/VR/MR systems, collaborate with global experts, and directly contribute to innovation in optical testing and imaging design. We value curiosity, practical problem‑solving, and continuous learning within a collaborative and supportive culture.

Key Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Imaging Science, Physics, or a related field
• Experience with image processing and/or computer vision fundamentals
• Proficiency in Python and/or MATLAB for algorithm development and data analysis
• Understanding of image formation, imaging pipelines, and camera systems
• Strong problem‑solving skills and ability to work independently or collaboratively