Camera Vision Software Engineer

Brooks Automation US LLC; Fremont (CA); On-site; USD 124,000 - 168,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Paid holidays

Job summary

Brooks Automation seeks a Camera Vision Software Engineer to develop computer vision solutions for semiconductor equipment. You will implement CNNs and traditional CV methods, optimize models, and integrate vision into robotic and motion-control systems.

Responsibilities include data annotation, model testing, REST API development, and collaboration with ME/EE/SW teams. Embedded hardware, Linux/Windows, and Docker/Kubernetes exposure are valued traits.

Qualifications

• MS or BS in Computer Science or equivalent and 4 years of software experience in CV/intelligent systems.
• 4 years of experience in professional software development with C# and/or C++.
• Experience in machine vision, image processing, and OpenCV workflows.
• Familiarity with UML, multi-threading, and network programming.

Responsibilities

• Develop and implement computer vision algorithms for defect detection, recognition, and tracking.
• Write production-quality code in C# and C++ and integrate with embedded hardware.
• Collaborate with ME/EE/SW teams on system-level integration and testing.

Skills

Computer Vision

Image Processing

C#

C++

Multithreading

REST APIs

Machine Learning

Deep Learning

OpenCV

GIT

Education

MS or BS in Computer Science or equivalent

Tools

TensorFlow

PyTorch

OpenCV

Docker

Kubernetes

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 utilisation. Analyzes results and provides insights for further improvements and optimisations. 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 optimises 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.

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 Windows10, 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.

Qualifications

• 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 algorithms using machine learning.
• Hands on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, segmentation analysis and depth estimation.
• Experience with developing REST APIs and Familiarity with Database (SQL or NoSQL)
• Experience with Containerization technology such as Docker and/or Kubernetes
• Experience using GIT source control
• Experience with ML/DL frameworks such as Tensorflow, Pytorch etc is a plus.
• Knowledge of current DL literature and the mathematical foundations of machine learning is a plus.
• Experience in working on robotics and motion control related software is a plus.
• Knowledge of current Deep Learning literature and the mathematical foundations of machine learning is a plus.

Compensation Base Salary Range: $123,896.85 USD to $167,625.15 USD. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for an annual discretionary bonus.

Benefits

At Brooks, we offer the following benefits for this position, subject to applicable eligibility requirements:

• Medical, Dental, Vision and Disability Insurance 401(k) Plan Exempt employees are provided company paid holidays and Flexible Vacation to enjoy personal time off and incidental sickness.

Work Location & Flexibility

At Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in‑office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process.

Brooks Automation participates in E-Verify® to confirm eligibility for employment in the United States. For more details, visit www.dhs.gov/E-Verify. E-Verify® is a registered trademark of the U.S. Department of Homeland Security.

Since our founding in 1978, Brooks Automation has been a leading automation provider and trusted partner to the global manufacturing industry. Our customers choose the Brooks Automation platform because we consistently deliver best‑in‑class reliability and cost of ownership, with a solution that is optimized for value within their application. We deliver value through our understanding of the application challenge, providing solutions at scale that create an automated advantage for our customers. We are committed to innovation by continuously developing new product offerings and partnering with our customers to integrate solutions for their manufacturing process tools. This benefits our customers with improved throughput and yield and a lower cost of ownership.