Test Engineer, System-Level Test (SLT)
Austin, United States · Hybrid
- Posted 1w ago
- From Tenstorrent’s careers page
- Location
- Austin, United States
- Work mode
- Hybrid
- Experience
- 10+ years
- Department
- Engineering
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About the role
Who You Are
- You bring 10+ years of experience in system-level test, embedded systems, software architecture, or hardware/software integration, with strong skills in C/C++, Python, or similar languages.
- You apply object-oriented design principles to build modular, maintainable, and extensible test frameworks, including execution wrappers, harnesses, and abstraction layers.
- You can control test equipment and automate handlers or external instruments through standard communication protocols, while debugging across test hardware, Linux hosts, firmware, drivers, and operating systems.
- You collaborate effectively across validation, firmware, silicon debug, product engineering, manufacturing, and OSAT/fab teams; experience with JTAG, boundary scan, DFT, high-volume manufacturing, NPI, Git, or CI/CD is a plus.
What We Need
- Develop the test execution framework that hosts validation-provided tests in SLT environments deployed to OSAT production.
- Build wrappers, harnesses, and abstraction layers that run validation content unmodified while providing deterministic execution, dependency management, configuration control, and structured error handling.
- Integrate functional, stress, and diagnostic tests into SLT platforms; adapt them for high-volume manufacturing with stable execution and clear pass/fail criteria.
- Create logging, telemetry, failure-signature, and automated-triage capabilities; drive cross-domain issues to the right teams and define data standards for yield analysis and RMA investigations.
What You Will Learn
- Architect SLT software and system infrastructure that connects validation content to high-volume manufacturing at a fast-scaling AI hardware company.
- Build deep cross-domain debug skills by tracing failures across silicon, boards, firmware, operating systems, drivers, and test content.
- Develop expertise in test orchestration, telemetry, and automated triage systems that influence yield, RMA outcomes, and production ramp speed.
- Understand how SLT architecture decisions shape product quality, time-to-yield, and manufacturing scalability—and drive measurable impact from day one.
Skills they ask for
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About Tenstorrent
Compute for every scaleTenstorrent develops AI computing systems, including superclusters and workstations for running AI workloads.
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