Software Engineer, Tenstorrent

Acceleration Kernel Development

CA$100-500k

C++

Junior, Mid and Senior level

Toronto

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

CA$100-500k

C++

Junior, Mid and Senior level

Toronto

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

If you're motivated by performance, precision, and real impact, this is where your skills will shine
A developer who loves high performance code, wrangling bits, optimizing compute, and making hardware fly
Comfortable in C/C++ and able to build fast, efficient code from the ground up
Obsessed with performance and precision, especially in tensors and ML workloads
Motivated by complex problems and thrives in collaborative, fast-moving environments
Expertise in building and optimizing compute kernels for parallel ML and high-performance workloads
Ability to analyze and tune instruction-level performance across latency, memory, and bandwidth
A collaborative mindset to work closely with ML engineers and integrate optimizations into production
Ownership of debugging, profiling, and maintaining a fast, reliable low-level software stack

What the job involves

As a Software Engineer on the Acceleration Kernel Development team at Tenstorrent, you’ll work at the intersection of software and hardware performance
You’ll be writing low-level code that directly powers high-efficiency machine learning workloads, optimizing every cycle, every memory move, every instruction
What You Will Learn:
The art of pushing AI hardware to its limits by shaping how kernels are written and executed
How to integrate kernel work into ML frameworks and real-world training pipelines
Skills in tuning performance on cutting-edge architectures with top-tier hardware engineers
Expertise in keeping code lean, reliable, and scalable even under heavy workloads

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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