(资深) C++ 开发者 / 图像处理 - 全部远程（在家办公）

We are multinational team to collaborate with Fortune 500 client !
As a C++ Engineer, you will develop and implement computer vision algorithms help SEM inspection and metrology tasks for various patterns/layers, improve system throughput and computation efficiency.
Experiences:
• 5+ year software development.

• Master degree and above.
• • Experience of image processing or pattern recognition algorithm development.

Role and responsibilities:
- Participate in algorithm development for inspection and metrology
- Collaborate with architects, designers, and engineers to develop robust computer vision modules
- Work with Product Management to prioritize feature development and breakdown tasks
- Drive infrastructure and architectural optimization solutions
- Perform code reviews and ensure proper design and delivery
- Assessment and improve algorithm performance
- Software development based on product/project requirements.
- Inspection flow and inspection module performance evaluation and optimization.
- Software troubleshooting and bug fixing.
- Cross-nation and cross-team communication to understand the tasks and ensure projects are on time and teamwork smoothly.

Education and experience:
- MS. in exact sciences (Computer Sciences, Computer Engineering, Electrical/Electro-Optical Engineering, Applied Mathematics or Physics)
- 3+ years of hand-on development as a computer vision engineer, Machine learning engineer or related role
- Solid skills in C++ programming
- Good communication and organizational skills
- Experience transferring technology from research in computer vision, image processing or machine learning into a shipping product
- Ability to work on complex projects and translate requirements from internal and external customer’s into algorithm specs
- Familiar with Git/Bitbucket/JIRA.

Nice to have:
- image noise reduction
- (Defect) detection and classification
- Unsupervised/ Supervised learnings
- Context-aware detection
- Adaptive Threshold
- Image filtering for CR/NR improvement

- Image alignment
Originally posted on Himalayas