Software Engineer, Research, Computational Imaging

1 Month ago • 5-8 Years • Artificial Intelligence • $166,000 PA - $244,000 PA

Job Summary

Job Description

Google seeks a Software Engineer, Research, Computational Imaging to contribute to next-generation technologies. Responsibilities include collaborating with peers on design and code reviews, contributing to documentation, triaging product issues, and debugging. The role requires direct research and development experience in machine learning for computer vision, computational photography, and generative AI. The successful candidate will have experience with Python, TensorFlow, and Generative AI, and a strong background in software development, data structures, and algorithms.
Must have:
  • 5+ years software development experience
  • Experience with Python, TensorFlow
  • Generative AI experience
  • Data structures/algorithms expertise
  • Software design & architecture experience
Good to have:
  • Master's/PhD in CS or related field
  • Technical leadership experience
  • ML research experience
  • Experience with computational imaging
  • Experience developing accessible technologies
Perks:
  • Bonus
  • Equity
  • Benefits

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.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • Experience with Python development.
  • Experience with Generative AI.
  • Experience with TensorFlow.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 1 year of experience in a technical leadership role.
  • Experience with Machine Learning (ML) research.
  • Experience developing accessible technologies.
  • Experience with computational imaging.
  • Experience with graphics and imaging.

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.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices on available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Direct research and development experience in machine learning for computer vision, computational photography, graphics, image and/or video processing, and generative AI. 

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