Staff Design Verification Engineer, AI HW

Tenstorrent; Toronto; Híbrido; AUD 144 000 - 719 000; Tempo integral

Resumo da oferta

Tenstorrent is seeking verification engineers to contribute to Tensix IP verification from planning through tape-out. You’ll own coverage goals, build reusable environments in SystemVerilog and Python, and develop constrained-random tests while debugging RTL/testbench issues across cross-functional teams.

The role offers exposure to DV tooling, CI/CD integration, and potential work across hybrid compute environments. Candidates at various levels are considered, with offers aligned to experience.

Qualificações

• Experienced in verification methodologies with SystemVerilog skills.
• Comfortable with block-level to system-level verification and microarchitecture reasoning.
• Proficient in Linux environments with Python or Bash scripting for builds and CI pipelines.
• Skilled in coverage-driven verification and debugging across RTL and testbenches.
• Motivated by AI hardware and new architectures.

Responsabilidades

• Contribute to verification of Tensix IP from planning to tape-out, owning coverage goals and closure.
• Build and maintain reusable verification environments, agents, scoreboards, and supporting infrastructure in SystemVerilog and Python.
• Develop constrained-random and directed tests and close coverage using data-driven approaches.
• Debug complex RTL/testbench issues and collaborate with design, firmware, compiler, and architecture teams.
• Evolve DV infrastructure including regression flows, CI/CD, and reproducible setups.
• Nice to have: exposure to FuSa verification concepts for automotive AI workloads.
• Nice to have: familiarity with formal verification methodologies, SVA, or formal property verification.

Conhecimentos

SystemVerilog

Coverage-driven verification

Debug RTL/testbench

Linux

Python

Ferramentas

Python

Bash

Linux

Descrição da oferta de emprego

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.

Our Tensix team is building custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for datacenter, edge, and automotive AI. Design Verification Engineers on this team validate compute IP and subsystems and build scalable DV infrastructure to keep verification fast, automated, and production-grade.

This role is hybrid, based out of Toronto, ON, Austin, TX or Belgrade, Serbia.

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.

Who You Are

• Experienced in modern verification methodologies with strong SystemVerilog skills and exposure to structured testbench development.
• Comfortable working from block-level to system-level verification and reasoning about microarchitecture behavior from specs and waveforms.
• Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines.
• Skilled in coverage-driven verification and confident debugging across RTL, testbench, and workload scenarios.
• Motivated by AI hardware and eager to learn verification strategies for new architectures and domains.

What We Need

• Contribute to verification of Tensix IP and subsystems from early planning through tape-out, owning coverage goals and driving them to closure.
• Build and maintain reusable verification environments, agents, scoreboards, and supporting infrastructure in SystemVerilog and Python.
• Develop constrained-random and directed tests and close functional, code, and assertion coverage using data-driven approaches.
• Debug complex issues across RTL and testbench while collaborating with design, firmware, compiler, and architecture teams.
• Help evolve DV infrastructure including regression flows, CI/CD integration, EDA compute environments, and reproducible setups.
• Nice to have: Exposure to functional safety (FuSa) verification concepts for automotive AI workloads.
• Nice to have: Familiarity with formal verification methodologies, SVA (SystemVerilog Assertions), or formal property verification for complex control logic and microarchitectural corner cases.

What You Will Learn

• How Tenstorrent verifies AI-native compute architectures including Tensix cores, RISC-V CPUs, matrix units, vector units, and datapath.
• How simulation, emulation, and software-driven workloads combine to validate both functional correctness and performance.
• How numerical precision formats such as BF16, FP4, and INT8 and on-chip dataflow impact verification complexity and coverage strategy.
• How to build scalable DV infrastructure across hybrid compute environments including containerized regression systems.
• How data analytics and modern AI tooling can enhance verification workflows and accelerate convergence.

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.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.