ATE Test Development Engineer

• 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.

• 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.

Posted Yesterday Be an Early Applicant In-Office Fort Collins, CO, USA 100K-500K Annually Expert/Leader In-Office Fort Collins, CO, USA 100K-500K Annually Expert/Leader Develop and optimize automated test equipment programs for AI and compute silicon using the Advantest V93000. Responsibilities include creating modular test and measurement libraries, implementing parametric, functional, scan, BIST, and system-level tests, debugging failures, supporting silicon characterization, extracting Vmin/Fmax, defining production limits, and improving datalogging, yield analysis, test time, multisite efficiency, and measurement stability for NPI and high-volume manufacturing. The summary above was generated by AI

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Tenstorrent is hiring an ATE Test Development Engineer who can build sophisticated, scalable test solutions on the Advantest V93000 platform using SmartTest 8, custom code, and low-level tester APIs. This role is ideal for someone who enjoys writing clean, modular software that directly touches hardware, understands how measurements are supposed to work, and can drive experiments that isolate variables across silicon, instrumentation, and test methodology. You will own the development, debug, datalogging, and optimization of ATE test content for NPI and production, ensuring our devices are thoroughly characterized, efficiently tested, and ready for high-volume manufacturing.

This role is hybrid, based out of Austin,TX; Santa Clara,CA; or Fort Collins, CO.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting., Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

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