Camera Vision Software Engineer

BROOKS AUTOMATION; Fremont (CA); Hybrid; USD 124,000 - 168,000; Full time

Benefits offered by this job

Medical, Dental, Vision and Disability

401(k) Plan

Paid holidays and Flexible Vacation

Remote/Hybrid work options

Career development opportunities

Job summary

Brooks Automation in Fremont, California is seeking a Camera Vision Software Engineer to design, implement, and optimize computer vision solutions for semiconductor automation hardware. You will work with CNNs, OpenCV, and ML frameworks, develop embedded and desktop components in C#/C++, and contribute to datasets, testing, and deployment on Windows and Linux.

This dynamic role requires collaboration across engineering teams, rigorous performance evaluation, and documentation for customers and

Qualifications

• MS or BS in computer science or equivalent with 4 years of software experience.
• Strong background in computer vision and image processing.
• 4 years of professional software development experience.
• 4 years of C# and/or C++ programming experience.
• Fluent UML and object-oriented analysis/design skills.
• Experience with multi-threading and network communication.
• Experience with instrumentation or equipment control software.
• Experience using Git and Microsoft DevOps is preferred.
• Knowledge of ML/DL, OpenCV, and REST APIs is a plus.

Responsibilities

• Develop and test image processing algorithms for robotic systems.
• Prototype and optimize CNN/ML models for real-time performance.
• Integrate vision solutions into equipment control software.
• Annotate and curate datasets for training computer vision models.
• Collaborate with ME, EE and SW teams for system integration.
• Document release features and provide customer support.

Skills

Computer Vision

Image Processing

C#

C++

Multi-threading

Linux

REST APIs

OpenCV

TensorFlow / PyTorch

Docker / Kubernetes

Git / DevOps

Education

MS or BS in Computer Science or equivalent

Tools

Visual Studio 2022

OpenCV

TensorFlow / PyTorch

Docker

Kubernetes

Git / DevOps

REST APIs

Windows & Linux

Job description

Camera Vision Software Engineer

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.

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.

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.

The following qualifications are required:

• 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

• 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.

Have a question about our benefits and compensation package? Your recruiter can share more with you during the hiring process.

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 is committed to fostering a diverse and inclusive workplace and proudly serves as an equal-opportunity employer. We welcome all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected characteristics.

Diversity enhances our innovative capabilities and strengthens our ability to serve our customers and communities effectively. At Brooks Automation, we celebrate the unique experiences and perspectives each individual brings, believing they are essential to our collective success. Join us in building a workplace where every team member is valued and can thrive.

For applicants with disabilities requiring accommodations, don't hesitate to get in touch with [e-mail] or call [phone] to discuss your needs.

Review EEO Law & EEO Statement.

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.