Senior Design Verification Engineer, Tenstorrent
AI HW
$100-500k
Salary includes base and variable compensation targets
Next-generation computing company building computers for AI
Open for applications
Next-generation computing company building computers for AI
1001+ employees
Open for applications
$100-500k
Salary includes base and variable compensation targets
1001+ employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- 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
- Experienced in modern DV methodologies, fluent in SystemVerilog/UVM, and comfortable reasoning from microarchitecture up to system behavior
- Either strong growth potential as an early-career DV engineer or a proven track record verifying complex IP or SoCs at leading silicon or AI hardware companies
- Confident working with Python-based infrastructure such as cocotb, scripting, and coverage or data analysis, and using code to automate and scale verification work
- Deeply curious about AI and ML accelerators, and interested in how tensors, data movement, and real workloads change the way verification is designed and executed
- Motivated by seeing advanced AI hardware in real systems, from data center deployments to edge and automotive, and ready to learn new domains quickly
What the job involves
- Contribute to verification strategies for Tensix IP and subsystems, and at senior levels help shape test plans, environments, and signoff criteria from early planning through tape-out
- Build and maintain reusable, scalable verification environments using UVM-based testbenches, agents, and scoreboards for block and subsystem-level DV, along with Python or cocotb-based infrastructure, reference models, and checkers that stress AI datapaths and control logic
- Execute coverage-driven verification by developing constrained-random and directed tests, defining and tracking functional, code, and assertion coverage, and closing remaining gaps with intent rather than relying only on volume
- Debug complex issues across RTL, testbench, and workloads, including corner-case functional bugs and performance problems, while working closely with architecture, design, firmware, and compiler teams
- Work at a scope that matches your level, ranging from taking responsibility for block-level DV and ramping quickly as an earlier-career engineer to mentoring others and influencing verification methodology and quality bars as a senior or lead engineer
- What You Will Learn
- How Tenstorrent verifies AI native compute architectures, including Tensix cores, RISC-V CPUs, chiplet fabrics, and high-bandwidth memory and interconnect subsystems
- How to combine simulation, emulation, and software-driven workloads, bringing together RTL, firmware, compilers, and real AI models to validate both behavior and performance
- How architectural choices in dataflow, numerical precision such as BF16 or FP8 or INT8, and on-chip networks affect verification complexity, coverage strategy, and debug
- How to raise the bar on design verification by improving methodology, automation, and cross-team practices so that each tape-out becomes more scalable, more robust, and faster to converge
Application process
- Please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process
Our take
Tenstorrent is a US- and Canada-based semiconductor startup specializing in processors for AI workloads. Rather than building gneral-purpose CPUs or GPus, the company develops custom chips and sofrware optimized for running moder AI models. As demand for AI accelerates, and as a global chip shortage reshapes the semiconductor industry, these trends have become strong tailwinds for Tenstorrent.
The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.
While the market for specialized AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".
Kirsty
Company Specialist at Welcome to the Jungle
Insights
52% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Dec 2024
$693m
SERIES D
Jun 2024
$300m
LATE VC
Total funding: $1.3bn
Company HQ
Flemingdon Park, Toronto, ON
Leadership
Jim Keller
(CEO)Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.
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