231 Computer Vision jobs in Singapore

• Design and implement vision algorithms for automated inspection, feature detection, and pattern recognition in semiconductor backend processes.
• Develop and deploy deep learning-based models to enable high-speed, high-accuracy vision systems.
• Integrate vision software with robotics, automation platforms, and precision equipment such as die bonders and wire bonders.
• Apply advanced image processing techniques for tasks including object tracking, defect classification, and yield improvement.
• Collaborate with hardware, software, and process engineering teams to ensure seamless real-time integration across inspection systems.
• Analyze performance data, validate models, and fine-tune algorithms to meet production standards and operational requirements.
• Optimize system performance in terms of detection accuracy, processing speed, and operational reliability.
• Contribute to the continuous enhancement of vision frameworks to support scalability, robustness, and deployment readiness.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Solid experience in computer vision, image analysis, and applied machine learning.
• Proficiency in Python and C++, along with libraries such as OpenCV and frameworks like TensorFlow or PyTorch.
• Familiarity with building and optimizing vision algorithms for high-throughput or precision manufacturing applications.

• Experience with deep learning architectures such as CNNs, GANs, or Transformer-based models applied to vision tasks.
• Exposure to semiconductor automation systems or optical inspection tools.
• Knowledge of real-time processing techniques and hardware acceleration technologies (e.g., CUDA, FPGA).
• Strong problem-solving mindset and the ability to communicate technical concepts clearly across teams.

• Evaluate Computer Vision models focusing on rigorous technical and analytical AI evaluation frameworks
• Work on the development of comprehensive evaluation frameworks for assessing the performance of computer vision models (e.g., object detection, image classification, segmentation, pose estimation, etc.)
• Stay abreast of the latest advancements in computer vision, AI, and deep learning to incorporate cutting-edge evaluation techniques

• Min 2 years of experience in computer vision
• Proven experience in evaluating computer vision models using metrics such as mAP, IoU, F1-score, precision-recall, and others relevant to the specific task
• Experience with large-scale datasets such as ImageNet, COCO, or custom datasets, as well as managing annotation quality and dataset curation
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras, with a deep understanding of computer vision architectures (e.g., ResNet, EfficientNet, Mask R-CNN, YOLO)
• Strong coding skills in Python, along with familiarity in setting up automated model evaluation pipelines
• Experience with data augmentation, synthetic data generation, and adversarial testing.
• Familiarity with MLOps tools and cloud platforms (e.g., AWS, GCP) for scaling model evaluation tasks
• Singapore Citizen only due to project sensitivity
• To apply online please use the 'apply' function, alternatively you may contact Stella at EA: 94C3609 /R

About Innowave Tech

Innowave Tech is a leading AI solution provider in the semiconductor industry, specializing in developing cutting-edge technologies for innovation and efficiency. Our focus is on leveraging computer vision and large-scale data analytics to meet the complex needs of our clients.

Position Overview

We are looking for a highly skilled and motivated Computer Vision Engineer to join our team full-time. This role is ideal for someone with a strong background in AI, particularly in the area of computer vision. The successful candidate will lead projects to develop and implement computer vision solutions tailored to the semiconductor industry.

Key Responsibilities

• Design, develop, and optimize computer vision algorithms for real-world applications.

• Collaborate with engineering teams to integrate computer vision technologies into our product offerings.

• Spearhead research initiatives to explore new methodologies and technologies in computer vision and AI.

• Document, present, and communicate findings and technical solutions effectively.

• Mentor junior team members and contribute to team knowledge sharing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Strong expertise in computer vision and machine learning.

• Proficient in Python, with extensive experience in PyTorch, TensorFlow, or similar frameworks.

• Solid understanding of software engineering practices, including Docker, Git, APIs, and message queues.

• Demonstrated ability to solve complex problems and drive projects to completion.

• Excellent communication skills, with the ability to work effectively in a team and lead projects.

• A strong portfolio of relevant projects or research work in computer vision and AI.

What we Offer

• A leading role in cutting-edge AI projects within the semiconductor industry.

• The opportunity to work with an learn from experts in the field of AI and data science.

• A dynamic, innovative, and supportive work environment.

• Competitive salary and benefits package.

• Career growth opportunities in a fast-paces technology company.

- Only Singaporean & Singapore PR can apply due to project requirement.

Job/ Internship Description

As a Computer Vision Engineer at Invigilo, you will be using real-world video data to develop state of the art construction activity monitoring solutions, that will eventually be deployed in production environments on the cloud. This role requires a highly versatile skill set and you will have opportunities to contribute in all relevant domains. Your responsibilities will include development and enhancing of new and existing technologies in a fast-growing deep-tech startup.

You will get to:

• Designing and deploying computer vision models for object detection

• Broad knowledge in various computer vision related topics such as deep learning, object recognition (detection, classification, segmentation) and tracking

• Developing and optimizing video pipelines using GStreamer, OpenCV, FFmpeg, and NVIDIA DeepStream SDK

• Using Bash scripting to automate deployment, testing, and infrastructure setups

• Collaborating closely with DevOps, DataOps, other relevant stakeholders

What we look out for:

• Hands-on experience with computer vision libraries and models (YOLO, Faster R-CNN, DeepStream)

• Excellent C/C++ programming skills

• Strong coding skills in Python and C++; experience with Bash scripting

• Solid understanding of video processing frameworks (GStreamer, OpenCV, FFmpeg)

• Ability to work on multi-camera environments, object tracking, and event detection

• A strong grasp of edge computing and performance tuning for real-time applications

We are looking for an innovative and highly skilled Computer Vision Engineer with expertise in developing image quality algorithms for mobile platforms. The ideal candidate will have a deep understanding of image processing, computer vision, and AI-based enhancement techniques, with proven experience in creating and optimizing algorithms such as HDR, denoising, and deblurring for smartphone photography.

This role offers the opportunity to work at the intersection of cutting-edge research and real-world application, designing solutions that enhance image quality while balancing performance and efficiency on mobile devices.

Key Responsibilities

• Research, design, and develop advanced algorithms for HDR, denoising, and deblurring to optimize image dynamic range, tonal accuracy, and fine detail reproduction.
• Develop efficient traditional algorithms tailored to mobile platform constraints, optimizing for computational speed, memory usage, and battery consumption.
• Integrate algorithms into ISP (Image Signal Processing) pipelines to enhance smartphone photography under diverse lighting and motion conditions.
• Solve real-world imaging challenges, including noise suppression, motion artifacts, and color consistency across scenes.
• Collaborate with hardware and software teams from algorithm prototyping to full product deployment, ensuring smooth integration and maximum efficiency.
• Combine traditional image processing methods with AI-based models to address complex, real-world imaging problems.

Qualifications

• Education: Master's degree or higher in Computer Vision, Image Processing, Deep Learning, or a related field.
• Solid understanding of YUV and RAW image formats, common image processing algorithms, and ISP pipelines.
• Proficiency in C/C++ and Python programming.
• Experience with deep learning algorithms and frameworks such as PyTorch or TensorFlow (TensorFlow Lite experience is a plus).
• Familiarity with image processing libraries such as OpenCV, Pillow (PIL), and scikit-image.
• Strong problem-solving, analytical, and communication skills; ability to work effectively in cross-functional teams.
• Preferred: Research or practical experience with generative AI techniques (e.g., Stable Diffusion, GANs, ControlNet, LoRA) for image quality enhancement.

Technical Skills

• Programming Languages: C/C++, Python
• Deep Learning Frameworks: PyTorch, TensorFlow, TensorFlow Lite
• Image Processing Libraries: OpenCV, Pillow (PIL), scikit-image
• Tools & Platforms: Git, GitHub/GitLab, Docker

Why Join Us?

You will be working on industry-leading mobile imaging solutions, collaborating with talented engineers and researchers, and pushing the boundaries of what's possible in smartphone photography. Your work will directly shape the image quality experienced by our users across diverse markets.

We are seeking an exceptional Computer Vision Expert to lead our team in developing innovative solutions.

• Conduct comprehensive literature reviews on computer vision and machine learning technologies to inform solution development.
• Design, develop, and implement cutting-edge computer vision algorithms using OpenCV or other relevant software.
• Collaborate with cross-functional teams to design and deploy scalable computer vision solutions that meet evolving business needs.
• Optimize computer vision algorithms and software for improved performance and accuracy.

• Strong expertise in computer vision techniques such as image processing, feature extraction, and object segmentation.
• Proficiency in C/C++ or C# programming, including event-driven programming and multithreading.
• Hands-on experience with OpenCV or other computer vision software.
• Knowledge of computer vision optics is a significant asset.
• Familiarity with point cloud data processing is a valuable added advantage.

• Design and implement vision algorithms for automated inspection, feature detection, and pattern recognition in semiconductor backend processes.
• Develop and deploy deep learning-based models to enable high-speed, high-accuracy vision systems.
• Integrate vision software with robotics, automation platforms, and precision equipment such as die bonders and wire bonders.
• Apply advanced image processing techniques for tasks including object tracking, defect classification, and yield improvement.
• Collaborate with hardware, software, and process engineering teams to ensure seamless real-time integration across inspection systems.
• Analyze performance data, validate models, and fine-tune algorithms to meet production standards and operational requirements.
• Optimize system performance in terms of detection accuracy, processing speed, and operational reliability.
• Contribute to the continuous enhancement of vision frameworks to support scalability, robustness, and deployment readiness.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Solid experience in computer vision, image analysis, and applied machine learning.
• Proficiency in Python and C++, along with libraries such as OpenCV and frameworks like TensorFlow or PyTorch.
• Familiarity with building and optimizing vision algorithms for high-throughput or precision manufacturing applications.

• Experience with deep learning architectures such as CNNs, GANs, or Transformer-based models applied to vision tasks.
• Exposure to semiconductor automation systems or optical inspection tools.
• Knowledge of real-time processing techniques and hardware acceleration technologies (e.g., CUDA, FPGA).
• Strong problem-solving mindset and the ability to communicate technical concepts clearly across teams.

About Innowave Tech

Innowave Tech is a leading AI solution provider in the semiconductor industry, specializing in developing cutting-edge technologies for innovation and efficiency. Our focus is on leveraging computer vision and large-scale data analytics to meet the complex needs of our clients.

Position Overview

We are looking for a highly skilled and motivated Computer Vision Engineer to join our team full-time. This role is ideal for someone with a strong background in AI, particularly in the area of computer vision. The successful candidate will lead projects to develop and implement computer vision solutions tailored to the semiconductor industry.

Key Responsibilities

• Design, develop, and optimize computer vision algorithms for real-world applications.

• Collaborate with engineering teams to integrate computer vision technologies into our product offerings.

• Spearhead research initiatives to explore new methodologies and technologies in computer vision and AI.

• Document, present, and communicate findings and technical solutions effectively.

• Mentor junior team members and contribute to team knowledge sharing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Strong expertise in computer vision and machine learning.

• Proficient in Python, with extensive experience in PyTorch, TensorFlow, or similar frameworks.

• Solid understanding of software engineering practices, including Docker, Git, APIs, and message queues.

• Demonstrated ability to solve complex problems and drive projects to completion.

• Excellent communication skills, with the ability to work effectively in a team and lead projects.

• A strong portfolio of relevant projects or research work in computer vision and AI.

What we Offer

• A leading role in cutting-edge AI projects within the semiconductor industry.

• The opportunity to work with an learn from experts in the field of AI and data science.

• A dynamic, innovative, and supportive work environment.

• Competitive salary and benefits package.

• Career growth opportunities in a fast-paces technology company.

- Only Singaporean & Singapore PR can apply due to project requirement.