Join us on our journey to transform care.

Clairity is seeking an experienced Software Development Engineer in Test (SDET) to help advance our mission of revolutionizing healthcare. With an initial focus on breast cancer screening, we will build mammography-based machine learning (ML) solutions that accurately predict the risk of cancer, personalize the plan of care, cultivate trust, and save lives. We want to expand our team with someone who shares our appreciation for the rapidly evolving power of big data and machine learning, and who enjoys bringing to production state-of-the-art applications to solve novel real-world healthcare problems.

We are seeking a highly skilled, experienced SDET Engineer to join our dynamic and growing team. In this role, you will work closely with our development team to design and implement testing strategies, and to ensure the robustness and reliability of our ML-powered cloud-based product.

The ideal candidate will have strong skills in software development and software test automation. He or she is a team player, highly motivated self-starter, detailed-oriented with demonstrated ownership, accountability, and commitment to high quality deliverables.

Founded in 2020 by Santé Ventures and Dr. Connie Lehman, the Head of Breast Imaging at Massachusetts General Hospital, Clairity is in Austin, TX. The location of the position is flexible within the United States, with the ability to work remotely from home.

Primary Responsibilities

• Work closely with the development team to understand the architecture of our AI-based platform and devise effective test strategies and plans.
• Design and implement Unit, Component, and Integration tests of ML infrastructure code.
• Integrate unit/component/integration/system testing into a CI/CD system (CircleCI preferred).
• Design and implement End-to-End tests (AWS Lambdas, ML Model experiments).
• Identify, analyze, and document any bugs or defects found during testing.
• Review and analyze system specifications and collaborate with developers to understand how changes in the software affect maintenance of test scripts and the testing environment.
• Implement automated tests to ensure high-quality product delivery while maintaining velocity.
• Participate in code reviews and provide input on coding standards and code improvements.
• Advocate for test priorities in daily scrum meetings and sprint planning.
• Create detailed, comprehensive, and well-structured test plans and test cases.
• Collaborate with cross-functional teams to ensure the software meets regulatory standards and requirements.

Requirements (Essential)

• 5+ years of software engineering background, with proficiency in programming languages such as Python, and experience with SW testing tools and frameworks, ML frameworks, containerization technologies, CI/CD tools, and cloud platforms, preferably AWS.
• 5+ years of experience automating component and integration tests via CI/CD infrastructure, in particular integrating unit / component / integration / system testing into a CI/CD system.
• 3+ years of experience with Agile/Scrum development methodologies.
• 3+ years of hands-on experience with big data tools and technologies such as Hadoop, Spark, and Hive, along with experience in managing and deriving insights from large, complex datasets.
• 3+ years of Data Management, including how to handle large datasets and working with different database systems.
• Proficiency in at least one machine learning framework (TensorFlow, PyTorch).
• Proficiency in Git and Python.

Requirements (Preferred)

• Proven experience as a SDET in the medical imaging or healthcare industry
• Familiarity with the concept of quality gates would be a plus.
• Knowledge of medical imaging standards: DICOM, HL7.
• Familiarity with black box and white box testing methods for Computer Vision models.

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.