Staff Design Verification Engineer, AI HW

Posted 12 Days Ago
Be an Early Applicant
4 Locations
In-Office
100K-500K Annually
Mid level
Hardware • Manufacturing
The Role
Design Verification Engineer responsible for verifying Tensix IP, building reusable SystemVerilog/Python testbenches and DV infrastructure, developing constrained-random and directed tests, closing coverage, debugging RTL/testbench/workload issues, and integrating CI/CD, simulation/emulation, and containerized regression systems. Collaborates with design, firmware, compiler, and architecture teams.
Summary Generated by Built In

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.

Skills Required

  • Strong SystemVerilog skills and experience with structured testbench development
  • Experience with coverage-driven verification and closing functional/code/assertion coverage
  • Ability to work from block-level to system-level verification and reason about microarchitecture behavior
  • Proficiency in Linux and scripting (Python or Bash) to automate builds, parse logs, and manage CI pipelines
  • Experience building and maintaining reusable verification environments, agents, scoreboards, and supporting infrastructure
  • Experience developing constrained-random and directed tests and using data-driven approaches to reach coverage goals
  • Skilled debugging across RTL, testbench, and workload scenarios and collaborating with cross-functional teams
  • Experience evolving DV infrastructure including regression flows, CI/CD integration, and EDA compute environments
  • Exposure to functional safety (FuSa) verification concepts for automotive AI workloads
  • Familiarity with formal verification methodologies, SVA, or formal property verification
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Toronto, ON
389 Employees
Year Founded: 2016

What We Do

Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers. Join us: www.tenstorrent.com/careers

Similar Jobs

ServiceNow Logo ServiceNow

Client Director, Manufacturing

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Hybrid
Zürich, CHE
29000 Employees

Citadel Securities Logo Citadel Securities

Quantitative Research Analyst Intern - BS/MS (Europe)

Information Technology • Software • Financial Services • Quantitative Trading
In-Office
3 Locations
1900 Employees

Tufin Logo Tufin

Consultant

Security • Cybersecurity
Remote or Hybrid
27 Locations
500 Employees

SOPHiA GENETICS Logo SOPHiA GENETICS

Associate Director / Sr Manager, BioPharma Business Development

Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Remote or Hybrid
5 Locations
450 Employees
104K-186K Annually

Similar Companies Hiring

Fortune Brands Innovations Thumbnail
Manufacturing
Deerfield, IL
10000 Employees
Fairly Even Thumbnail
Hardware • Robotics • Sales • Software • Hospitality
New York, NY
30 Employees
Amalgamated Sugar Thumbnail
Food • Greentech • Agriculture • Industrial • Manufacturing
Boise, Idaho
768 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account