Camera Vision Software Engineer
Company websitebrooks.com (Brooks Automation, opens in new tab)
Base salary $123,897 to $167,625
Employer-published annual base salary, USD. Advertised base range in Fremont, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationFremont, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 min ago) · observed since
About this job
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 EngineerJob 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.
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 USDFactors 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 [email protected] or call +1 (978) 262-2400 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.
Source: Brooks Automation on Workday · View original posting (opens in new tab)
This listingCamera Vision Software Engineer$123,897 to $167,625
Camera Vision Software Engineer$123,897 to $167,625
Senior Software Engineer$118,265 to $160,006
Senior Controls Engineer$118,265 to $160,006
Senior Mechanical Engineer$118,265 to $160,006
Senior Mechanical Engineer$118,265 to $160,006
Product Safety Engineer IV$118,265 to $160,006
Chart as a table
| Role | Published base |
|---|---|
| Camera Vision Software Engineer (this listing) | $123,897 - $167,625 |
| Camera Vision Software Engineer | $123,897 - $167,625 |
| Senior Software Engineer | $118,265 - $160,006 |
| Senior Controls Engineer | $118,265 - $160,006 |
| Senior Mechanical Engineer | $118,265 - $160,006 |
| Senior Mechanical Engineer | $118,265 - $160,006 |
| Product Safety Engineer IV | $118,265 - $160,006 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-10-13
Where this pay comes from
Location as the employer wrote it: US - Fremont, CA
Base Salary Range: $123,896.85 USD to $167,625.15 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
