Senior Software Engineer, Home Camera Device Software

1 Month ago • 5 Years + • Full Stack Development

Job Summary

Job Description

This Senior Software Engineer role at Google focuses on developing camera software for next-generation home devices. Responsibilities include leading a team, managing project architecture and implementation, ensuring code quality, and collaborating with cross-functional teams (Cloud, App, ML). The ideal candidate will have extensive experience in embedded Linux systems, camera software stacks (SDK, framework, ML, applications), and network video streaming. The role involves designing and developing the camera software stack from kernel to user space, working with technologies from drivers and networking to home camera services. This position requires strong leadership, problem-solving, and collaboration skills.
Must have:
  • 5+ years software development experience
  • Experience with data structures/algorithms
  • 5+ years testing/maintaining/launching software
  • 1+ year software design and architecture experience
  • Lead a team and manage projects
  • Develop highly scalable camera software
Good to have:
  • 5+ years Linux embedded system development (C/C++)
  • Experience with Linux camera software stack
  • Experience in networking, embedded Linux, network video streaming
  • Experience with IoT camera and smart home technologies

Job Details


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
  • 5 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

  • 5 years of experience in Linux embedded system development using C or C++.
  • Experience in Linux camera software stack development such as camera SDK, framework, ML and application.
  • Experience in one or more design skill of the following areas: networking, embedded Linux, network video streaming and camera stack or camera system design.
  • Experience with IoT camera and smart home technologies.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.

Responsibilities

  • Lead a virtual team of engineers contributing and leading camera features development in products.
  • Track and communicate progress and risks, maintaining alignment with product roadmap to various stakeholders while owning development and shipment responsibilities.
  • Lead project oversee architecture and critical implementations, product and code quality, and use of best practices focused on developing highly scalable and robust camera software stack solutions.
  • Design and develop the camera software stack for next generation home camera and doorbell devices. Work across the entire stack from kernel, driver, network and media streaming technologies, all the way to home camera services in user space.
  • Work cross-functionally with adjacent Google Cloud, App and Perception ML teams.

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