Camera Vision Software Engineer

Brooks Automation•Fremont, CA

1d•Hybrid

About The Position

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. 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.

Requirements

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 the 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
Familiarity with Database (SQL or NoSQL)
Experience with Containerization technology such as Docker and/or Kubernetes
Experience using GIT source control

Nice To Haves

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.

Responsibilities

Developing and implementing computer vision algorithms to solve specific problems using image and video processing, feature extraction, object detection and tracking, and semantic segmentation.
Leveraging techniques such as convolutional neural networks (CNNs), deep learning, and traditional computer vision algorithms to develop robust and accurate solutions.
Optimizing and fine-tuning computer vision models to improve their performance.
Integrating computer vision solutions into applications and systems.
Curating and annotating datasets, ensuring the availability of high-quality labeled data for training computer vision models.
Planning and conducting tests to measure the performance of models in terms of accuracy, speed, and resource utilization.
Analyzing results and provide insights for further improvements and optimizations.
Designing, developing, and implementing models for tasks such as defect detection, facial recognition, and object tracking.
Coding and testing neural network architectures, preprocessing and augmenting image datasets, tuning model parameters for accuracy and speed, and conducting data annotation.
Analyzing model performance using metrics like precision and recall, experimenting with architectures such as vision transformers, and optimizing inference for deployment on mobile or embedded hardware.
Developing and refining algorithms using platforms like TensorFlow or OpenCV, writing and maintaining production-quality code, performing ablation studies, and documenting technical processes.
Collaborating with cross-functional teams to ensure system integration and troubleshooting.
Regularly evaluating and improving models to maintain high accuracy and efficiency within engineering projects.
Gathering requirements, writing requirement specifications, and getting specs reviewed by the team.
Writing design specifications, and getting specs reviewed by the team.
Implementing the design with C#/C++ programming, and getting code reviewed by the team.
Designing test cases, and running unit testing over software emulation and on hardware.
Integrating software components into the overall system, and performing SQA testing.
Working with the rest of the team, including ME, EE, and SW engineers in system-level integration.
Documenting release features and application notes for customers.
Supporting customers in their software integration, and in handling field escalations.
Participating in team reviews on specs, code, documentation, and test cases.