Junior Software Development Engineer in Test (SDET)

Sorry, this job was removed at 08:17 p.m. (CST) on Monday, Jul 07, 2025
Easy Apply
Hiring Remotely in USA
Remote
115K-115K Annually
Artificial Intelligence • Healthtech • Software
The Role

Company Description:

HOPPR is at the forefront of innovation in medical imaging, developing the first multimodal AI foundation model. Our deep learning platform, unique for its proprietary privacy-compliant trust architecture, integrates diverse data sources with cutting-edge AI/ML development. HOPPR is co-founded by Dr. Khan Siddiqui, a visionary leader with a prolific background including founding higi, former roles at Hyperfine (NASDAQ:HYPR), and Microsoft.

Job Summary:

We are seeking a highly motivated and detail-oriented Junior Software Development Engineer in Test (SDET) to join our growing team. The ideal candidate is passionate about building and maintaining automated testing frameworks to support the delivery of reliable, high-quality software. You will work closely with software engineers, QA specialists, and platform teams to integrate testing processes, validate model performance, and ensure robust test coverage throughout the software development lifecycle. This role offers an exciting opportunity to support the testing of large image-to-text machine learning models in a fast-paced, AI-focused environment.

Key Responsibilities:

  • Automated Testing Framework Development: Develop and maintain automated testing frameworks and systems to ensure software quality.
  • Collaboration with Development Teams: Work closely with development teams to integrate testing methodologies into the software development process.
  • Bug Tracking and Resolution: Identify, record, and document bugs.
  • Test Plan and Case Development: Develop and execute comprehensive suites of automation test plans and test cases to validate software functionality.
  • Code Review Participation: Participate in code reviews to ensure that automated tests adhere to coding standards and best practices.
  • QA Collaboration: Collaborate with the QA team to understand how manual test cases can be automated, ensuring comprehensive test coverage.
  • Automation Strategy Implementation: Leverage state-of-the-art automation strategies and techniques for LLM output validation to enhance testing accuracy.
  • Test Result Analysis: Monitor and analyze test results, providing detailed reports to development teams and management for informed decision-making.
  • Staying Current: Stay up to date with new testing tools and test strategies to continuously enhance testing processes.

Minimum Qualifications (Knowledge, Skills, and Abilities)

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Technical Skills: Proficient programming skills in Python. Experience with automated testing tools and frameworks such as Selenium, TestNG, Postman, and Rest-assured.
  • CI/CD Knowledge: Familiarity with Continuous Integration/Continuous Deployment (CI/CD) processes and tools, such as Github Actions or similar.
  • Analytical Skills: Excellent problem-solving and troubleshooting skills, with a keen attention to detail.
  • QA Methodologies: Understanding of software QA methodologies, tools, and processes, ensuring comprehensive test coverage and quality.
  • Performance and Security Testing: Experience with performance and/or security testing is a plus, enhancing the robustness of testing practices.
  • Communication: Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
  • Attention to Detail: High level of accuracy and attention to detail in testing and documentation processes.

Essential Job Functions

HOPPR is committed to providing reasonable accommodation to employees with disabilities, as required by law. We encourage those with disabilities to request accommodations if needed to perform the essential functions of the job.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, and keyboard.
  • Specific vision abilities required by this job include close vision requirements due to computer work.
  • Regular, predictable attendance is required; including quarter-driven hours as business demands dictate.
  • Some travel is required.

What We Offer:

  • A key role in a fast-growing startup with immense potential.
  • An innovative, collaborative, and supportive work environment.
  • Competitive salary and benefits package.

HOPPR is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Important Note: This opportunity is open exclusively to US citizens and permanent residents. We kindly request that recruiters and agencies refrain from contacting Dr. Khan Siddiqui or any HOPPR team members directly regarding this role. Unrequested outreach from recruiters will not be entertained or responded to. Thank you for respecting this directive and helping us maintain a focused and efficient hiring process.

Remote - USA
$115,000$115,000 USD

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The Company
HQ: Chicago, IL
49 Employees
Year Founded: 2019

What We Do

HOPPR is building the first multimodal AI foundation model for medical imaging - founded by Khan Siddiqui, (CEO - founder of higi) and Oliver Chen (COO - founder of ilumihealth, acquired by Fosun Pharma) to accelerate AI application development and fine-tuning of AI models. Its deep learning platform is based on a proprietary privacy-compliant trust architecture that brings together data sources and AI/ML developers.

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