Principal Physical Design Flow Engineer, Tenstorrent

AI Silicon

Salary not provided

Expert level

San Francisco Bay Area

Next-generation computing company building computers for AI

Job no longer available

Next-generation computing company building computers for AI

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Job no longer available

Salary not provided

Expert level

San Francisco Bay Area

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Company mission

To bring unique solutions to the problems facing AI and machine learning.

Job

Company

Role

Who you are

BS/MS/PhD in EE/ECE/CE/CS
Hands-on experience with synthesis, block and chip level implementation with industry standard PnR flows and tools
Strong experience in SOC/ASIC/GPU/CPU design flows on taped out designs, expertise in timing closure at block/chip levels and ECO flows
Experience with back-end design tools such as Primetime, Innovus, RedHawk, etc
Knowledge of low-power design flows such as power gating, multi-Vt and voltage scaling
Strong programming skills in Tcl/Perl/Shell/Python
Excellent understanding of logic design fundamentals and gate/transistor level implementation
Exposure to DFT is an asset
Prior experience working on high performance technology nodes and understanding of deep sub-micron design problems/solutions
Strong problem solving and debug skills across various levels of design hierarchies

What the job involves

Work closely with physical design team and tool vendors to define flow requirements
Flow tasks may include enabling targets such as floor-planning, synthesis, PnR, timing and phyv closure
Optimize and support PnR flow to ensure quality results on schedule
Discussions with vendor tool providers, foundry partners and design services
End to end tasks from flow development to sign-off
Deploy innovative techniques for improving power, performance and area of the design, drive experiments with PD, and evaluate PnR, timing and power results

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

Top investors

52% employee growth in 12 months

Glassdoor (4.5)

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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