Job Description

Position: C++ Software Engineer - Computer Vision Specialist

Responsibilities: * Collaborate with the software development team to design, implement, and optimise video analytics models using C++.

• Integrate video analytics models seamlessly into our existing software infrastructure.
• Work closely with cross-functional teams to understand project requirements and ensure successful deployment of video analytics solutions.
• Optimise video analytics algorithms for enhanced performance on both CPU and GPU platforms.
• Conduct thorough testing and debugging of integrated solutions to ensure reliability and accuracy.
• Stay abreast of industry trends, emerging technologies, and advancements in video analytics to contribute to the evolution of our products.
• Collaborate with hardware engineers to ensure proper integration and utilisation of hardware acceleration technologies.

Qualifications: * Bachelor\'s or Master\'s degree in Computer Science, Engineering, or a related field.

• Proven experience as a C++ Developer with a focus on video analytics.
• Strong understanding of video analytics algorithms and models.
• Proficient in optimising and fine-tuning video analytics models for performance improvement.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
• Able to work independently or in a team.
• Willing to work in Paya Lebar but can travel to various parts of Singapore if needed.
• Singaporean only
• Fresh graduates are welcome to apply and successful candidates with relevant experience may be considered for senior position.

Preferred Qualifications: * Prior experience in integrating video analytics solutions into real-world applications.

• Familiarity with edge computing and deployment of video analytics models on edge devices.
• Knowledge of other relevant technologies, frameworks, and libraries in the video analytics ecosystem.
• Familiarity with neural network frameworks like TensorRT, TensorFlow or PyTorch.
• Hands-on experience with Nvidia\'s technology stack, including Nvidia DeepStream, will be an advantage.
• Experience with GPU programming and parallel computing will be an advantage.
• Experience in optimising and adapting models for resource-constrained environments.

ST Engineering