Tenstorrent
Staff Design Verification Engineer, AI HW
$100K–$500K
Austin, Texas, United States +4 · Staff · Full-time · Posted Oct 25, 2023
- Location
- Austin, Texas, United States
Belgrade, Serbia
Toronto, Ontario, Canada
Zürich, Switzerland
Santa Clara, California, United States - Visa sponsorship
- Employment is contingent on eligibility to access U.S. export-controlled technology; depending on citizenship or permanent residency status, or ability to obtain prior license approval, the offer may be rescinded.
About the job
Verify Tensix AI compute IP and subsystems from planning through tape-out, while building scalable design-verification environments and infrastructure.
What you'll do
- Own coverage goals and drive them to closure; develop constrained-random and directed tests and close functional, code, and assertion coverage.
- Build and maintain reusable verification environments, agents, scoreboards, and infrastructure using SystemVerilog and Python.
- Debug RTL and testbench issues and improve regression flows, CI/CD integration, and reproducible EDA compute setups.
What they ask for
- Strong SystemVerilog skills and experience with modern verification methodologies and structured testbench development.
- Experience with block- to system-level verification and reasoning about microarchitecture from specifications and waveforms.
- Linux proficiency and Python or Bash scripting for builds, log parsing, and CI pipelines.
- Coverage-driven verification and debugging across RTL, testbench, and workload scenarios.
Nice to have
- Exposure to functional safety (FuSa) verification for automotive AI workloads.
- Familiarity with formal verification methodologies, SVA (SystemVerilog Assertions), or formal property verification.
Pay
$100k - $500k (USD, including base and variable compensation targets; not specified as base salary or total pay)
Tools
SystemVerilog, Python, Bash, Linux, SVA, BF16, FP4, INT8
AI focus
Verify AI-native compute hardware, including Tensix cores, matrix and vector units, datapaths, and AI workloads; learn how AI tooling can enhance verification workflows.
Model-written summary · the original posting is authoritative