Edge AI Software Dev Engineer, Ring AI (Open to Middle Level to Tech Lead)
Job Description
Join Ring AI team to revolutionize home security through innovative technologies that seamlessly integrate edge computing and cloud services. Be part of shaping the future of intelligent device solutions that make communities safer and more connected.Key job responsibilities- Develop and deploy edge AI solution with focus on computer vision for Ring devices- Collaborate with applied science and cloud service teams to create scalable AI architectures- Design and implement efficient Edge AI architectures- Conduct performance experiments and system optimization researchA day in the lifeAs a software developer at Ring AI, you will support solution design and development, conduct experiments, and optimize system performance to enhance customer experience. You'll work closely with the Applied Sciences team to improve model performance while collaborating with Cloud Services to design end-to-end system architecture. Through these partnerships, you'll play a key role in advancing our AI solutions.About the teamWe are a collaborative group of technologists passionate about developing intelligent, efficient AI models. Our vision is to create seamless, adaptive technologies that anticipate and respond to user needs. We're committed to pushing the boundaries of what's possible in device intelligence while maintaining a human-centered approach to innovation.
Locations
- Taiwan, TPE, Taipei, Taipei City, TPE, Taiwan
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
80,000 - 160,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of non-internship professional software development experienceintermediate
- - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceintermediate
- - Demonstrated experience developing AI solutions for embedded systemsintermediate
Required Qualifications
- - 3+ years of non-internship professional software development experience (experience, 3 years)
- - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience (experience, 2 years)
- - Proficient programming skills in C or C++ (experience)
- - Demonstrated experience developing AI solutions for embedded systems (experience)
Preferred Qualifications
- - Experience with machine learning and AI model development (experience)
- - Experience with computer vision and deep learning frameworks (experience)
- - Understanding of cloud service architectures (experience)
- - Degree in Computer Science or related technical field (degree in computer science or related technical field)
- - Ability to communicate effectively in English within a global work environment (experience)
- - Track record of research contributions or open-source AI project involvement (experience)
Responsibilities
- - Develop and deploy edge AI solution with focus on computer vision for Ring devices
- - Collaborate with applied science and cloud service teams to create scalable AI architectures
- - Design and implement efficient Edge AI architectures
- - Conduct performance experiments and system optimization research
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Edge AI Software Dev Engineer, Ring AI (Open to Middle Level to Tech Lead)
Job Description
Join Ring AI team to revolutionize home security through innovative technologies that seamlessly integrate edge computing and cloud services. Be part of shaping the future of intelligent device solutions that make communities safer and more connected.Key job responsibilities- Develop and deploy edge AI solution with focus on computer vision for Ring devices- Collaborate with applied science and cloud service teams to create scalable AI architectures- Design and implement efficient Edge AI architectures- Conduct performance experiments and system optimization researchA day in the lifeAs a software developer at Ring AI, you will support solution design and development, conduct experiments, and optimize system performance to enhance customer experience. You'll work closely with the Applied Sciences team to improve model performance while collaborating with Cloud Services to design end-to-end system architecture. Through these partnerships, you'll play a key role in advancing our AI solutions.About the teamWe are a collaborative group of technologists passionate about developing intelligent, efficient AI models. Our vision is to create seamless, adaptive technologies that anticipate and respond to user needs. We're committed to pushing the boundaries of what's possible in device intelligence while maintaining a human-centered approach to innovation.
Locations
- Taiwan, TPE, Taipei, Taipei City, TPE, Taiwan
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
80,000 - 160,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of non-internship professional software development experienceintermediate
- - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceintermediate
- - Demonstrated experience developing AI solutions for embedded systemsintermediate
Required Qualifications
- - 3+ years of non-internship professional software development experience (experience, 3 years)
- - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience (experience, 2 years)
- - Proficient programming skills in C or C++ (experience)
- - Demonstrated experience developing AI solutions for embedded systems (experience)
Preferred Qualifications
- - Experience with machine learning and AI model development (experience)
- - Experience with computer vision and deep learning frameworks (experience)
- - Understanding of cloud service architectures (experience)
- - Degree in Computer Science or related technical field (degree in computer science or related technical field)
- - Ability to communicate effectively in English within a global work environment (experience)
- - Track record of research contributions or open-source AI project involvement (experience)
Responsibilities
- - Develop and deploy edge AI solution with focus on computer vision for Ring devices
- - Collaborate with applied science and cloud service teams to create scalable AI architectures
- - Design and implement efficient Edge AI architectures
- - Conduct performance experiments and system optimization research