Lead Hardware Solutions Architect, Tenstorrent

$100-500k

OTE

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets

Senior and Expert level

Austin

Toronto

More information about location

Next-generation computing company building computers for AI

Be an early applicant

Next-generation computing company building computers for AI

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Be an early applicant

$100-500k

OTE

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets

Senior and Expert level

Austin

Toronto

More information about location

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

Experienced RTL and silicon architect who understands full-chip and subsystem design tradeoffs
Comfortable evaluating RTL changes for performance, power, area, and system impact
Strong cross-functional partner who keeps customers, design, and DV aligned
Mentor who sets clear technical direction and supports junior engineers’ growth

What the job involves

Tenstorrent is seeking a Lead Hardware Solutions Architect to own and coordinate the RTL modifications required to meet diverse customer needs
You will bridge the gap between customer silicon engineers and internal DV engineers, ensuring that every RTL change is technically sound and fits into the broader system architecture
You are the primary owner of custom NEO configurations, balancing specific customer requests with long-term product scalability
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
Lead RTL customization for NEO, owning customer-specific configurations and changes
Translate customer silicon requirements into clear RTL and verification work items
Assess hardware changes for impact on system behavior, firmware, and software stacks
Drive convergence on secure, reliable, and scalable custom silicon solutions
What You Will Learn:
How to coordinate silicon, system, and software teams around shared customer outcomes
How advanced AI chip projects run from architecture through implementation and bring-up
How customers deploy NEO-based solutions across varied platforms and constraints
How to shape Tenstorrent’s custom silicon roadmap through real customer 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 (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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