Senior Engineer, Tenstorrent

Ethernet Validation

$100-500k

Salary range includes base and variable compensation targets

C++

Senior and Expert level

San Francisco Bay Area

Toronto

Vancouver

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

Salary range includes base and variable compensation targets

C++

Senior and Expert level

San Francisco Bay Area

Toronto

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

Excited to help build the backbone of AI hardware and work close to the system's core
Energized by high-speed networking challenges—Ethernet MAC/PHY, SerDes tuning, link training
Skilled in writing low-level C/C++ and debugging cross-layer issues, both in the lab and in code
Proud to make complex systems run smoothly by collaborating across firmware, silicon, and software
A passion for breaking and fixing complex hardware-software systems
Comfort with designing tests that push things to their limits: functional, performance, integration—you name it
Experience in lab work—system bring-up, running experiments, and working with emulation tools
A love for writing firmware and scripts to automate testing, dig into issues, and keep things running smoothly

What the job involves

This role sits at the intersection of embedded systems, silicon validation, and advanced networking
You'll work with best-in-class IP from leading vendors and in-house designs, bringing up and validating these IPs in silicon, and building robust validation infrastructure that ensures performance, interoperability, and reliability at scale
What You Will Learn:
What it means to shape AI acceleration hardware from the ground up—starting at first principles
How to validate complex Ethernet IP from simulation all the way to production silicon
What is like to collaborate with world-class silicon, systems, and software teams to tackle frontier engineering challenges
How to define the networking architecture that will power the next era of AI platforms

Application process

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

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 (3.5)

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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