Senior QA Engineer

About Rad AI

We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, Gradient (Google’s AI fund) and ARTIS. We’ve also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We're recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!

Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%. 

Why Join Us: 

We're excited to begin expanding our software quality engineering team and searching for the right person to help fill this critical role! This would be a new QA resource working alongside cross-functional teams to deliver effortless software to physicians to improve clinical outcomes drastically and ultimately save patient lives. There is an immediate need for multi-product support to build out automated and manual test suites to ensure our software is of the highest quality possible. This is a high-growth opportunity to join our impactful stage and conceptualize and build our QA automation suite from scratch alongside our software quality engineering team.

What You’ll Be Doing:

• Assisting with all QA activities and collaborating with multiple teams.
• Design and creation of automated test suites across various services and applications.
• First line of support for bugs reported from customer channels, including investigations, writing bug tickets, and verifying resolution.
• Perform functionality testing on Rad AI product, including verifying feature implementations, testing new releases (writing bug tickets).
• Ensure project deadlines are met effectively and consistently.

Who We’re Looking For:

• 3+ years of general software programming experience with C#, including regular use of major scripting languages. An additional consideration for experience with object-oriented programming languages (Python, Java, etc.).
• Comfortability writing Unit Tests.
• API testing experience (C# Minimal API, FastAPI, GraphQL, Postman).
• Strong troubleshooting skills.
• Strong knowledge of SDLC.
• Experience working with CI/CD tools (Github Actions, Circle CI).
• Working knowledge of SQL. 

Nice to Haves:

•  Experience working with AWS and/or Google Cloud.
• Healthcare/Medical industry experience, ideally in a startup environment.
• Experience with Robot Framework, Selenium, Cypress, or other automation frameworks.
• Strong written and verbal communication skills.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.

If you're passionate about driving innovation and delivering impactful reporting solutions, we'd love to hear from you!

Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA 
• 401(k)
• 11 paid company holidays
• Location-flexibility (remote-first company!)
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.