Software Engineer in Research, Computational Imaging

9 Hours ago • 5-8 Years

About the job

SummaryBy Outscal

Must have:
  • Bachelor's degree or equivalent practical experience
  • 5 years of experience with software development
  • 3 years of experience testing, maintaining, or launching software products
  • 1 year of experience with software design and architecture
  • Experience with Python development
  • Experience with Generative AI
  • Experience with TensorFlow
Good to have:
  • Master's degree or PhD in Computer Science or related technical field
  • 1 year of experience in a technical leadership role
  • Experience developing accessible technologies
  • Experience with graphics and imaging
  • Experience with Machine Learning (ML) research
  • Experience with computational imaging
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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 developing accessible technologies.
  • Experience with graphics and imaging.
  • Experience with Machine Learning (ML) research.
  • Experience with computational 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 $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.
  • Design and implement generative AI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
  • Research and develop machine learning for computer vision, computational photography, graphics, image or video processing, and generative AI. 
View Full Job Description
$161.0K - $239.0K/yr (Outscal est.)
$200.0K/yr avg.
Mountain View, California, United States

About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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