Software Engineer, Tenstorrent

Metal Runtime

$100-500k

OTE

C++

Entry, Junior, Mid, Senior and Expert level

Austin

San Francisco Bay Area

Next-generation computing company building computers for AI

Open for applications

Next-generation computing company building computers for AI

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Open for applications

$100-500k

OTE

C++

Entry, Junior, Mid, Senior and Expert level

Austin

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

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
Strong coder in C or C++, and love working close to hardware
Comfortable thinking in terms of threads, processors, and memory movement, and experienced writing fast, parallel code that runs across multiple processors
Curious about how runtimes and bare-metal software come together to power AI
Collaborative by nature and enjoy solving tough problems with smart people

What the job involves

As a Software Engineer on the Metal Runtime team at Tenstorrent, you’ll work on the low-level software that powers our AI accelerators
You’ll design fast, efficient runtime systems that run directly on hardware and make our chips shine. If you're into pushing performance, working close to the metal, and making complex systems run smoothly, this is your kind of role
Build and optimize the Metal runtime that runs directly on our AI accelerators
Develop bare-metal software that controls compute units, data flow, and async operations
Work closely with hardware teams to get the most out of our architecture
Debug, analyze, and tune runtime performance across massively parallel systems
What You Will Learn:
How to design low-level systems for cutting-edge AI hardware
How to make custom ASICs and co-processors work in sync across the chip
Best practices for debugging complex, performance-critical software
How software and hardware co-evolve in a fast-paced AI startup

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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