Test Engineer System Level Test

Tenstorrent is an AI-computing company that sells AI hardware and licenses AI and RISC-V intellectual property.

Series ERecently funded0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

Toronto, Canada
About Tenstorrent

Tenstorrent builds computers for AI, including AI processors, scalable server systems, and open-source software and compiler tooling. It also licenses AI and RISC-V IP for customers building customized silicon.

View jobs by Tenstorrent

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop the SLT execution framework for validation tests in OSAT production. You will build test wrappers, harnesses, and abstraction layers; integrate functional, stress, and diagnostic tests; and create logging, telemetry, failure-signature, and automated-triage capabilities for yield analysis and RMA investigations.

Requirements

  • 10+ years of experience in system-level test, embedded systems, software architecture, or hardware and software integration
  • Programming skills in C, C++, Python, or similar languages
  • Knowledge of object-oriented design principles
  • Experience building modular test frameworks, execution wrappers, harnesses, and abstraction layers
  • Experience controlling test equipment and automating handlers or external instruments through standard communication protocols
  • Experience debugging test hardware, Linux hosts, firmware, drivers, and operating systems
  • Eligibility to access U.S. export-controlled technology

Responsibilities

  • Develop the SLT execution framework for validation tests in OSAT production
  • Build wrappers, harnesses, and abstraction layers for deterministic test execution
  • Integrate functional, stress, and diagnostic tests into SLT platforms
  • Adapt validation tests for high-volume manufacturing with clear pass or fail criteria
  • Create logging, telemetry, failure-signature, and automated-triage capabilities
  • Define data standards for yield analysis and RMA investigations