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# Test Architect

- **Company:** ENTEGEE, Inc.
- **Location:** East Liberty, OH, United States
- **Experience:** Expert
- **Salary:** $126,880.0 - $131,040.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Automation of Tests, Code Coverage, DSpace, Python (Programming Language), Strategies of Testing, CAPL, Information Technology, Automotive Software, Data Pipelines
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6b0ad29ef2388ef0

## About the Role

* Bachelor's degree in Computer Science or Electronics Engineering
 * 8+ years of automotive software testing experience
 * Hands-on experience with dSPACE, CANoe, CANape, DIVA, or Open Test
 * Proficiency in JavaScript, Python, and CAPL for test automation and diagnostics
 * Experience building test benches and working in R&D or startup environments
 * Strong knowledge of test coverage analysis and defect tracking metrics
 * Strong written and verbal communication skills
 * Must be a U.S. Citizen or Green Card holder
 * ISTQB or IREB certification preferred

## Description

We're seeking an experienced Test Architect to design and lead testing strategies for AI-driven automotive software systems. This role ensures the performance, reliability, and safety of intelligent vehicle technologies through hands-on validation and cross-functional collaboration. The ideal candidate is a creative problem solver who builds test benches, thrives in R&D or startup environments, and figures out testing challenges without relying on a manual., * Design and lead testing strategies for AI-driven automotive software systems

 * Build and set up test benches to support R&D validation efforts
 * Develop test automation and diagnostics using JavaScript, Python, and CAPL
 * Perform testing and measurement using tools such as dSPACE, CANoe, CANape, DIVA, and Open Test
 * Analyze test coverage and defect tracking metrics to drive continuous improvement
 * Support data pipelines and analytics tools used in automotive software validation
 * Collaborate across multidisciplinary teams to align on test requirements and priorities
 * Communicate technical findings clearly to engineering teams and stakeholders