Camera Vision Software Engineer

brooksauto; Fremont (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Brooks Automation is seeking a Camera Vision Software Engineer to develop and test image processing algorithms for robotic systems in semiconductor equipment.

You will design CV/ML pipelines using OpenCV and TensorFlow, implement in C#/C++ on Windows/Linux, and collaborate with ME, EE, and SW teams to deliver robust, production-ready software. Expect hands-on work with datasets, testing on hardware, and optimizing performance for embedded platforms.

Qualifications

• MS or BS in computer science or equivalent, with CV and image processing experience.
• 4+ years of professional software development experience.
• Experience in programming C# and/or C++.
• Fluency with UML for OO analysis/design, including state machines.
• Experience with multi-threading and network communication.
• Experience with machine vision and OpenCV.

Responsibilities

• Develop and test image processing algorithms for robotic systems.
• Gather requirements, write specs, and design software components.
• Implement designs in C#/C++ and perform code reviews.
• Design test cases, run unit tests, and validate on hardware.

Skills

Computer Vision

Image Processing

Multi-threading

Network Communication

C#/C++

UML

Team Collaboration

Linux

Education

MS or BS in Computer Science or equivalent

Tools

OpenCV

TensorFlow

Microsoft Visual Studio 2022

Git

Job description

Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing ( www.brooks.com ).

Are you looking for a place where you can be part of a transformation? Join us at Brooks Automation and be a part of a dynamic organization that is shaping the future of technology.

Camera Vision Software Engineer

Job Description

Responsible for developing and implementing computer vision algorithms to solve specific problems using image and video processing, feature extraction, object detection and tracking, and semantic segmentation. Leverages techniques such as convolutional neural networks (CNNs), deep learning, and traditional computer vision algorithms to develop robust and accurate solutions. Optimizes and fine-tunes computer vision models to improve their performance. Integrates computer vision solutions into applications and systems. Curates and annotates datasets, ensuring the availability of high-quality labeled data for training computer vision models. Plans and conducts tests to measure the performance of models in terms of accuracy, speed, and resource utilization. Analyzes results and provide insights for further improvements and optimizations.

Designs, develops, and implements models for tasks such as defect detection, facial recognition, and object tracking. Responsibilities include coding and testing neural network architectures, preprocessing and augmenting image datasets, tuning model parameters for accuracy and speed, and conducting data annotation. Analyzes model performance using metrics like precision and recall, experiments with architectures such as vision transformers, and optimizes inference for deployment on mobile or embedded hardware. The role involves developing and refining algorithms using platforms like TensorFlow or OpenCV, writing and maintaining production-quality code, performing ablation studies, and documenting technical processes. Collaboration with cross‑functional teams ensures system integration and troubleshooting, while regular evaluation and improvement of models maintain high accuracy and efficiency within engineering projects.

Job Description

The focus of the job is on equipment control for the semiconductor business. The primary area of work is C# programming with Microsoft Visual Studio 2022, targeting Windows 10, Linux operating systems. The projects all involve embedded software control of robotic and other motion related hardware. In addition, machine vision and machine learning technologies are being incorporated into the system. The following specific tasks will be performed during the project life cycle.

• Gather requirements, write requirement specification, and get spec reviewed by team.
• Write design specification, and get spec reviewed by team.
• Implement the design with C#/C++ programming, and get code reviewed by team.
• Design test cases, and run unit testing over software emulation and on hardware.
• Integrate software component to overall system, and perform SQA testing.
• Work with rest of team, including ME, EE and SW engineers in system level integration.
• Document release features and application notes for customers.
• Support customers in their software integration, and in handling field escalations.
• Participate in team reviews on specs, on code, on documentation and on test-cases.

Qualification

As a Computer Vision Software engineer, your tasks are focused on developing and testing image processing algorithms used in our robotic systems. The work covers the entire pipeline from data collection to training and testing models, as well as improving the existing algorithms. The robotic projects are multidisciplinary team efforts, and you get to work with electrical and mechanical engineers while developing your software piece.

• MS or BS in computer science or equivalence of 4 years of work experience, with experience in Computer Vision and Image Processing
• Written and verbal communication skills to communicate design with rest of the team.
• 4 years of experience in professional software development.
• 4 years of experience in programming C# and/or C++.
• Fluency in using UML for Object Oriented Analysis/Design, including state machines.
• Experience in programming multi-threading, and network communication.
• Experience in working on software in instrumentation or equipment control.
• Experience in working with a small project team of 6 - 12 engineers.
• Experience in customization of Linux operating system.
• Experience using GIT source control such as Microsoft DevOps.
• Experience in software applications and algorithms using machine vision and OpenCV.
• Experience in software applications and alg