Staff Software Engineer, Tenstorrent

AI Compiler

$100-500k

Python

C++

Senior and Expert 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

$100-500k

Python

C++

Senior and Expert 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

BSc, MSc or PhD in Electrical/Computer Engineering or Computer Science
Experience with algorithms, data structures, and software development in C/C++; Python expertise is welcome as well
Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus

What the job involves

We are seeking an experienced and highly skilled Software Engineer with expertise in compilers and semiconductor technology to join our team
As a Senior Software Engineer - AI Compiler Specialist, you will play a critical role in designing, developing, and optimizing compilers for cutting-edge semiconductor products
You will work closely with hardware engineers, software engineers, and other stakeholders to ensure the efficient and effective execution of compiler-related tasks
Develop machine learning graph compiler
Participate in the co-design of Tenstorrent's hardware and software stack
Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler
Develop high-performance run-time engine
Integrate the Tenstorrent software into leading machine learning frameworks
Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications

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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