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Transforming radiology with the latest advances in ai to save radiologists 60+ minutes a day

Senior Software Engineer - Windows Desktop

$100k – $145k • 0.05% – 0.1%
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Rad AI applies deep learning to radiology in order to save lives and reduce the cost of healthcare. We’re based in Berkeley (two blocks from BART) and backed by top investors. We believe that strong teams working closely together create audacious companies that transform our world for the better.

Our world-class team of engineers is building and deploying products that will make a difference in millions of people’s lives. You’ll be an early team member, helping us shape the long-term vision for Rad AI’s future. Our benefits include health, dental and vision coverage, unlimited paid vacation, catered lunches, and unlimited snacks.

Here at Rad AI, we’re focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!

Responsibilities

  • Develop desktop applications that save time for radiologists and patients alike
  • Find and build solutions for challenging customer requests to improve the Rad AI experience
  • Integrate our software with the applications radiologists use in their existing workflow
  • Write high quality code and ship complex new features at high velocity
  • Troubleshoot, debug, and fix issues in production and non-production environments
  • Collaborate with other engineers to deliver state of the art solutions

Requirements

  • Extensive experience shipping Windows Desktop applications utilizing
  • C#/.NET and C++/Win32 technologies
  • Proven record of reversing and integrating with Windows Desktop applications for which no source code is available
  • Strong knowledge of applicable Windows API’s, Tools, and languages is essential
  • Familiarity with Enterprise software workflows such as consuming RESTful API’s and structuring SQL (Server) databases
  • Strong knowledge of design, architectural patterns, and development best practices
  • Flexibility and adaptability necessary to be an early employee at an ambitious startup

Nice to haves

  • Experience working at an early stage startup
  • Experience in a HIPAA compliant environment
  • Experience working on machine learning or healthcare related projects
  • Taking initiative and ownership of projects

Thank you for your interest. We look forward to hearing from you.

Meet your team

People you would work with in this role

Robert Hafner

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Mia Ferguson

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Via

Jeff Chang

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Co-founder of RAD AI / Doblet. ER radiologist, started medical school at age 16, graduate work in AI at U. Edinburgh. MBA @ UCLA Anderson, VC / PE experience.

Doktor Gurson

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Co-founder & CEO @Rad AI / @doblet / @Bitmule. Previously Founder & CEO @LifetimeHost (acquired by MD Web) & @@Com Technology(managed by GoDaddy).

Eric Purdy

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Worked at Vicarious, Google, experience with Artificial Intelligence

Rad AI at a glance

Transforming radiology with the latest advances in ai to save radiologists 60+ minutes a day

Rad AI focuses on Healthcare, Artificial Intelligence, and Artificial Intelligence / Machine Learning. Their company has offices in San Francisco and Berkeley. They have a small team that's between 11-50 employees. To date, Rad AI has raised $4M of funding; their latest round was closed on November 2019.

You can view their website at https://www.radai.com/ or find them on Twitter.

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