Engineer, Tenstorrent

PCIe Validation

Salary not provided

Junior, Mid and Senior level

Vancouver

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

Salary not provided

Junior, Mid and Senior level

Vancouver

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're looking for someone who’s excited to dive into the core of next-gen systems and help make them real
If firmware, hardware, and hands-on debugging sound like your kind of fun — let’s chat!
You love bringing hardware to life and enjoy the thrill of solving tricky problems across the hardware–firmware boundary
You’re hands-on in the lab and comfortable with tools like oscilloscopes, protocol analyzers, and JTAG — digging deep doesn’t scare you
You’re comfortable jumping into unfamiliar problems and figuring things out — whether it’s in the lab or in firmware
You’re curious, collaborative, and excited to work on technology that pushes the boundaries of performance
Someone to take the lead in validating our next-gen PCIe interfaces — from controller to PHY, and everything in between
A strong collaborator who can work across hardware, firmware, and software teams to bring up new features and solve problems
A sharp debugger who’s comfortable triaging issues across hardware, firmware, and software layers
A detail-oriented thinker who thrives in fast-paced environments and enjoys seeing ideas come to life in real systems

What the job involves

In this role, you’ll validate high-speed interfaces, solve complex system-level puzzles, and collaborate across teams to shape the future of AI/ML computing
What You Will Learn
How to work at the cutting edge of compute — validating next-gen hardware and making it production-ready
How different pieces of a system come together — from multi-die chiplets to firmware integration and beyond
How to use advanced tools and techniques to debug and tune complex system interactions
How to shape emerging technology in a collaborative, fast-moving engineering environment

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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