Digital Design Engineer, Tenstorrent

AI Accelerator

Salary not provided

Python

C++

Flow

Perl

Entry level

Austin

San Francisco Bay Area

Toronto

Office located in Santa Clara, CA

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

Python

C++

Flow

Perl

Entry level

Austin

San Francisco Bay Area

Toronto

Office located in Santa Clara, CA

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

Knowledge of Hardware Description Languages (Verilog/VHDL)
Interest and knowledge of processor/computer architecture
Interest and knowledge of the full ASIC design flow, including design, verification, synthesis, P&R
C/C++ as well as scripting languages (C, C++, Python, Perl, tcl)
Experience with high frequency logic design, scalar and vector processor architecture, GPU architecture and programming models, digital signal processing hardware, SoC architecture, memory sub system architecture, real time hardware/firmware systems and PCB design is very beneficial
Understanding of deep learning concepts and familiarity with popular machine learning frameworks and models
Strong analytical and problem-solving skills

What the job involves

Implementation of Tenstorrent IP and SOC RTL logic in Verilog
Architecture exploration and modeling
Occasional verification of Tenstorrent's IP and SOC logic, using advanced verification methodologies –UVM, FPGA prototyping, and emulation
Performance and power verification and validation of Tenstorrent's IP and SOC
Runtime firmware and low-level software implementation
Benchmark and analyze performance optimizations for key machine learning algorithms across Tenstorrent hardware and software stack
Development of frameworks for automating post-silicon verification, data analysis and debug
Support board/system design and debug

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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