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.
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
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.
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 talentattraction@brooks.com or call +1 (978) 262-2400 to discuss your needs.
Review EEO Law & EEO Statement.
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