Image Processing

Image Processing Engineer Jobs

3 jobs found

1mo ago

Senior Software Engineer

Onto Innovation Wilmington, MA

Wilmington, MA

1mo ago Closed

$115k - $173k/yr Full time Senior Automation C++ Language

This position is no longer accepting applications (closed Oct 21, 2026).

Job Description

Build machine vision software that supports automated inspection and metrology for advanced semiconductor manufacturing equipment.

Responsibilities

Design, optimize, and implement robust machine vision algorithms using MVTec HALCON and C++ for defect detection, alignment, metrology, and 2D/3D inspection
Develop clean, maintainable, high-performance C++ applications that run in multi-threaded, multi-process real-time environments on Windows or Linux
Integrate and interface vision software with industrial hardware including GigE cameras, frame grabbers, optics, and specialized lighting systems
Create and calibrate high-precision coordinate transformation matrices (pixel-to-world) to deliver micron-level spatial accuracy
Collaborate with mechanical, electrical, and automation engineers to test, debug, and validate vision systems on real manufacturing tools
Support installation, deployment, and validation efforts requiring domestic and international travel up to 30%

Requirements

3+ years of hands-on machine vision software development experience in the semiconductor or high-precision electronics manufacturing industry
Strong C++ skills, including object-oriented programming, data structures, and memory management
Production-level experience with MVTec HALCON, including HDevEngine and/or HALCON/C++ integration
Familiarity with semiconductor manufacturing workflows such as wafer inspection, die bonding, wire bonding, or packaging
Experience applying software development methodologies such as Agile, Scrum, or Kanban
Background in digital image processing, matrix mathematics, 2D/3D geometry, and camera calibration
Bachelor’s degree in Computer Science, Electrical Engineering, Mechatronics, or a related technical field

Technologies

C++
MVTec HALCON
HDevEngine
HALCON/C++ integration
OpenCV
SECS/GEM

Benefits

Competitive salaries
Comprehensive benefits package
Health, dental, and vision coverage
Life and disability insurance
PTO
401(k) with employer match
Employee Stock Purchase Program (ESPP)
Wellness initiatives

Preferred Skills (Nice to Have)

Experience with additional vision/GUI libraries such as OpenCV
Familiarity with SECS/GEM communication protocols
Knowledge of deep learning extensions within HALCON for anomaly detection

Location: Wilmington, MA (onsite)

Salary: USD 115,200 - 172,800 per year

Important note on export compliance: For certain roles requiring access to technical data, a U.S. export licensing review may be necessary for applicants who are not U.S. Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).

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1mo ago

Imaging Machine Learning Engineer

Google Mountain View, CA

Mountain View, CA

1mo ago Closed

$132k - $189k/yr Full time Artificial Intelligence Data Analysis Data Analytics

This position is no longer accepting applications (closed Sep 25, 2026).

Job Description

The role supports Google’s Platforms and Devices team by applying imaging machine learning to improve image quality across both hardware and software. The work includes fine-tuning 3A algorithms and developing ML-assisted tooling for IQ tuning, testing, benchmarking, and calibration workflows.

Role Focus

Optimize image quality across the full technology stack by ensuring device capabilities are used effectively through software tuning. The position also drives algorithm refinement and automates imaging quality processes using machine learning to improve tuning efficiency and reliability.

Responsibilities

Optimize image quality across the hardware and software stack, aligning software tuning with underlying hardware capabilities.
Fine-tune 3A algorithms to maintain strong performance across changing lighting and environmental conditions.
Build software tools that use machine learning (ML) to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows.

Required Qualifications

Bachelor’s degree in Electrical Engineering, Computer Science, Imaging Science, Physics, or a related field, or equivalent practical experience.
2 years of experience in Image Quality, Computer Vision, or a related technical field.
2 years of experience with Python and C++ for algorithm development and implementation.

Preferred Qualifications

Master’s degree, or PhD in a related field.
3 years of professional experience in a related field.
Industry experience with SoC/ISP constraints, 3A tuning, or applying Deep Learning to real-time imaging pipelines.
A proven track record delivering high-quality, commercial, market-facing consumer cameras.
Strong history of self-directed learning and the ability to rapidly master new technologies and domains.
Excellent written and verbal communication skills, including the ability to translate technical concepts into clear, actionable insights for cross-functional partners.

Technologies

Python, C++, and machine learning (ML).

Location and Compensation

Location: Mountain View, CA (onsite)

Salary: USD 132,000 - 189,000 per year

Benefits

15% bonus target
Equity
Benefits
Health insurance
401k match

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2mo ago

AI/ML Software Engineer

Envision Technology, LLC Londonderry, NH

Londonderry, NH

2mo ago Closed

Full time Artificial Intelligence Automation Data & Ai

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Envision Technology, LLC is seeking an AI/ML Software Engineer to develop, adapt, and optimize image recognition capabilities for tactical use, with deployment targeted to embedded and edge hardware. The role emphasizes high-confidence computer vision performance that remains reliable in real-world operating conditions.

Responsibilities

Assess, modify, and optimize existing image recognition algorithms, including object detection, semantic segmentation, and tracking approaches (such as YOLOv8, Mask R-CNN, and DeepSORT) for execution on embedded or edge computing platforms.
Design and implement synthetic labeled training datasets to strengthen robustness across different environmental and operational conditions.
Create synthetic imagery using physics-based modeling approaches, including illumination, material properties, sensor characteristics, and atmospheric effects, to better match actual optical sensor performance.
Measure and validate model performance using quantitative evaluation methods such as precision, recall, confusion matrices, and confidence intervals to support deployment readiness.
Partner with algorithm developers, hardware engineers, and system integrators to align AI performance with mission requirements and hardware constraints.
Monitor emerging AI/ML methods and edge-deployment frameworks to improve efficiency and system capability.

Required Qualifications

Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field.
Proficiency with modern machine learning frameworks, including PyTorch, TensorFlow, and/or ONNX.
Experience with computer vision libraries and tools such as OpenCV, NVIDIA TensorRT, and/or OpenVINO.
Strong programming skills in Python and/or C++.
Experience deploying models on embedded or edge hardware, including NVIDIA Jetson, Intel NUC, or AMD Ryzen Embedded.
Ability to assess and refine algorithmic performance using quantitative evaluation techniques.

Technologies

PyTorch, TensorFlow, ONNX
OpenCV
NVIDIA TensorRT, OpenVINO
Python, C++
NVIDIA Jetson, Intel NUC, AMD Ryzen Embedded
YOLOv8, Mask R-CNN, DeepSORT

Desired Qualifications

Master’s degree in a relevant discipline or 5+ years of applied AI/ML development experience focused on imaging, optical, or sensor-based systems.
Background in optical physics, radiometry, or computer graphics-based image synthesis.
Experience generating physics-based synthetic imagery using tools such as Blender, Unreal Engine, or custom rendering pipelines.
Understanding of sensor modeling and the integration of physics-based parameters, such as MTF, SNR, contrast, and spectral response.
Familiarity with MLOps tools for versioning, data curation, and training pipeline automation.

Benefits

401(k)
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid parental leave
Paid time off
Parental leave
Tuition reimbursement
Vision insurance

Additional Information

Applicant must be a US Person.
Candidates should have the aptitude and motivation to contribute proactively in a startup culture from day one and grow with the company.
Brief travel within the US to customer locations may be required occasionally to support product testing or design reviews.

Job Details

Job type: Full-time
Work location: In person
Location: Londonderry, NH (onsite)

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Image Processing Engineer Jobs

Senior Software Engineer

Imaging Machine Learning Engineer

AI/ML Software Engineer

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