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Software Engineer, Infrastructure (All Levels) at Rad AI | San Francisco

Rad AISan Francisco
On-site Full-time

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Experience Level

Entry Level

Qualifications

Strong experience with cloud technologies and infrastructure management. Proficiency in relevant programming languages and tools. Ability to design and implement scalable systems. Excellent problem-solving skills and a proactive approach. Strong communication skills, both written and verbal.

About the job

About Rad AI

At Rad AI, we are dedicated to revolutionizing the healthcare landscape through the power of artificial intelligence. Established by a radiologist, our innovative AI solutions are transforming radiology, streamlining processes, alleviating physician burnout, and enhancing patient outcomes. With access to one of the largest proprietary datasets of radiology reports globally, our AI has been instrumental in identifying hundreds of new cancer cases and has reduced error rates in millions of radiology reports by nearly 50%.

Having secured over $140 million in funding, including a highly successful Series C round of $68 million led by Transformation Capital, we now boast a valuation of $528 million. Our esteemed investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, and Cone Health Ventures, all united in our vision to empower physicians with state-of-the-art AI technology.

Our latest advancements in generative AI are utilized daily by thousands of radiologists, supporting over one-third of radiology groups and healthcare systems, and nearly 50% of all medical imaging in the U. S., partnering with distinguished institutions such as Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are committed to building AI-powered solutions that make a significant difference. Recently, Rad AI was honored to be included in CNBC’s Disruptor 50 list, underscoring the innovation and momentum driving our mission.

If you’re eager to help shape the future of healthcare, we invite you to join our dynamic team!

Why Join Us

The Platform Engineering team at Rad AI lays the groundwork that sustains all our products, Reporting, Impressions, and Continuity, enabling product teams to deliver reliably, securely, and at scale. Within this framework, the Infrastructure team is responsible for our core cloud infrastructure, platform stability, and reliability practices. We are on the lookout for multiple Infrastructure Engineers to assist us in designing and operating robust, scalable systems. In this role, you will play a key part in infrastructure architecture, reliability practices, and the thoughtful enhancement of our workflows. If you have a passion for building resilient systems, we want to hear from you!

About Rad AI

Rad AI is at the forefront of healthcare innovation, leveraging AI to enhance the capabilities of radiology. Our mission is to improve patient care while alleviating the burdens faced by healthcare professionals. With significant funding and recognition in the industry, we are a rapidly growing company focused on impactful solutions.

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