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Sr. Software Development Engineer, Ring AI (Edge AI)

Amazon

Asti

In loco

EUR 50.000 - 70.000

Tempo pieno

Ieri
Candidati tra i primi

Descrizione del lavoro

A leading tech company in Asti, Italy, seeks a Senior Software Development Engineer to develop innovative edge AI solutions for home security devices. You will work with teams to create scalable architectures and optimize system performance. Ideal candidates have substantial software development experience, strong leadership skills, and proficiency in C/C++. This role promotes a culture of collaboration and innovation.

Competenze

  • 5+ years of non-internship professional software development experience.
  • 4+ years leading design or architecture of new and existing systems.
  • Demonstrated experience developing AI solutions for embedded systems.

Mansioni

  • Develop and deploy edge AI solutions with a focus on computer vision.
  • Collaborate to create scalable AI architectures.
  • Conduct performance experiments and optimize systems.

Conoscenze

Software development experience
Leadership in design or architecture
Mentorship or tech lead experience
Proficient in C or C++
Experience with AI solutions for embedded systems

Formazione

Degree in Computer Science or related technical field
Descrizione del lavoro
Sr. Software Development Engineer, Ring AI (Edge AI)

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.

Responsibilities
  • Develop and deploy edge AI solutions with a 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
A day in the life

As a senior 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 team

We 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.

Basic Qualifications
  • 5+ years of non-internship professional software development experience
  • 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
  • Proficient programming skills in C or C++
  • Demonstrated experience developing AI solutions for embedded systems
Preferred Qualifications
  • Experience with machine learning and AI model development
  • Experience with computer vision and deep learning frameworks
  • Understanding of cloud service architectures
  • Ability to communicate effectively in English within a global work environment
  • Track record of research contributions or open-source AI project involvement
  • Degree in Computer Science or related technical field

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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