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# ATE Test Development Engineer

- **Company:** Tenstorrent Usa, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $100,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Software Debugging, Python (Programming Language), Regression Testing, System-level Testing
- **Published:** October 9, 2026
- **Apply:** https://startup.jobs/ate-test-development-engineer-tenstorrent-company-10346459

## About the Role

* You bring 10+ years of experience in ATE test development, semiconductor test engineering, or post-silicon validation.
 * You are proficient with Advantest V93000, SmartTest 8, tester APIs, C++ or Java, and Python automation.
 * You understand ATE instrumentation, including DPS, PMU, RF/HSIO, timing sets, multisite execution, and tester-to-DUT behavior.
 * You are a structured problem solver with experience in controlled experimentation, root-cause isolation, cross-domain debug, and semiconductor test methodologies.

## Description

* Develop and maintain modular ATE test programs and measurement libraries for NPI and production on the Advantest V93000.
 * Implement and optimize parametric, functional, scan, BIST, and system-level test flows using tester APIs and custom measurement sequences.
 * Debug ATE failures and support product engineering with characterization, Vmin/Fmax extraction, guard-band definition, production limits, and correlation to bench, SLT, and validation results.
 * Build robust datalogging and automation solutions while improving test time, multisite efficiency, measurement stability, yield analysis, and regression testing.

What You Will Learn

 * How to develop scalable production test solutions for high-performance AI and compute silicon.
 * How to connect test methodology, instrumentation behavior, silicon performance, and manufacturing requirements.
 * Techniques for silicon characterization, Vmin/Fmax extraction, guard-band definition, yield learning, and automated failure triage.
 * How ATE test content progresses from NPI bring-up and debug through production release and high-volume manufacturing.