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Job Description
Tenstorrent, a company revolutionizing AI technology, is seeking a Design Verification Lead for their next-generation AI hardware. This role is based in Austin, Texas, and is a hybrid position. The Design Verification Lead will guide a team of Verification Engineers, shaping test strategies to validate the functionality and performance of Tenstorrent's AI core. This role requires expertise in AI-specific data types, common AI data-movement compute patterns, and on-chip network validation, combined with strong leadership and collaboration skills.
  • Leading and mentoring the verification team, defining strategies for AI compute and data-flow challenges.
  • Developing and implementing verification plans for AI cores and on-chip networks.
  • Collaborating with architecture, design, and software teams.
  • Architecting and overseeing the implementation of testbenches, test cases, and coverage models.
  • Validating throughput/bandwidth of various AI workloads.
  • Verifying NoC functionality under high-demand traffic.
  • Developing platform agnostic test strategies.
  • Analyzing test results, tracking coverage metrics, and debugging failures.
  • Reviewing and approving verification deliverables.
  • Adopting emerging AI/ML verification techniques.
  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • 10+ years of ASIC/SoC verification experience, with at least 3+ years in a leadership role.
  • Proven track record in verifying complex AI/ML hardware architectures or high-performance compute cores.
  • Deep expertise in AI-specific data types, tensor operations, and memory access patterns (e.g., BF16, FP8, INT8).
  • Hands-on experience with NoC verification, including congestion testing, bandwidth analysis, and performance benchmarking.
  • Proficiency in UVM, SystemVerilog, cocotb, and industry-standard verification tools; C/C++ proficiency beneficial.
  • Experience with emulation platforms, performance models, and coverage-driven verification methodologies.
  • Strong communication and leadership skills.
  • Highly competitive compensation package and benefits.
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