Senior Software Engineer

3 days ago

Queenstown, Singapore Razer USA Ltd Full time

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is **a place to do great work**, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also **a great place to work,** providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

**Responsibilities**:

- Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
- Design and architect computer vision systems to meet specific requirements and objectives.
- Collect, curate, and annotate large datasets of images or videos for training and evaluation of computer vision models.
- Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.
- Evaluate the performance of computer vision models using appropriate metrics and benchmarks.
- Integrate computer vision algorithms and models into larger software systems or products.
- Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems.
- Document design specifications, technical requirements, and implementation details for computer vision solutions.
- Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.
- Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems
- 开发和实现用于目标检测、识别、跟踪、分割和图像分类的计算机视觉算法。
- 设计和构建满足特定需求和目标的计算机视觉系统。
- 收集、整理和标注大量图像或视频数据集，用于计算机视觉模型的训练和评估。
- 使用机器学习框架和深度学习库训练、微调和优化计算机视觉模型。
- 使用适当的指标和基准评估计算机视觉模型的性能。
- 将计算机视觉算法和模型集成到更大的软件系统或产品中。
- 进行测试和验证，确保计算机视觉系统功能的可靠性和准确性。
- 编写计算机视觉解决方案的设计规范、技术要求和实现细节的文档。
- 通过研究和实验，及时了解计算机视觉领域的新技术、趋势和进展。
- 在开发和部署计算机视觉系统时，考虑伦理、法律和监管方面的影响。

**Pre-Requisites**:

- Bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field.
- Proven experience in developing and implementing computer vision algorithms and models.
- Proficiency in programming languages such as Python or C++.
- Strong understanding of image and video processing techniques and methodologies.
- Familiarity with computer vision libraries such as OpenCV.
- Experience with data collection, annotation, and preparation for model training.
- Ability to evaluate and optimize model performance using appropriate metrics and benchmarks.
- Experience integrating computer vision solutions into software systems or products.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilitie
- 计算机科学、电气工程或相关领域的学士或硕士学位。
- 具有开发和实现计算机视觉算法和模型的经验。
- 精通Python或C++等编程语言。
- 深刻理解图像和视频处理技术和方法。
- 熟悉OpenCV等计算机视觉库。
- 具有数据收集、标注和为模型训练做准备的经验。
- 能够使用适当的指标和基准评估和优化模型性能。
- 具有将计算机视觉解决方案集成到软件系统或产品中的经验。
- 较强的问题解决能力和对细节的关注。
- 优秀的沟通和团队合作能力。

**Are you game?

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