Technical Program Manager, Tenstorrent

Metal, AI Models

$100-500k

OTE

Salary applicable to all engineers and it includes base and variable compensation targets

Mid and Senior level

San Francisco Bay Area

Office located in Santa Clara, CA

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

Salary applicable to all engineers and it includes base and variable compensation targets

Mid and Senior level

San Francisco Bay Area

Office located in Santa Clara, CA

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

Passionate about the ML / AI Model landscape, familiarity with state of the art model architectures (LLM, CNN, DiT, MoE, etc), and follow market trends
A technically fluent TPM with proven ability to manage 20+ engineer programs, external vendors, and full software stacks from bare-metal to ML frameworks
Systems thinker who can break down large projects into clear, trackable pieces
Proactive communicator who’s comfortable leading cross-functional discussions between engineering and business teams

What the job involves

We are seeking a Technical Program Manager to lead ML / AI model development initiatives with our engineering teams, bringing state of the art workloads to our AI Accelerators
In this role, you will drive programs that span multiple engineering and cross functional teams from silicon to software delivery
You will partner with technical leads to prioritize development, streamline workflows, and ensure model delivery results in a seamless customer experience
A strategic partner to guide planning and align company level priorities across multiple model development teams
Drive planning and execution of technical programs across hardware and software orgs
Build project plans, track progress, surface blockers, and keep priorities clear
Communicate clearly with executives, engineers, and stakeholders, balancing transparency with thoughtful tradeoff discussions
What You Will Learn
High performance model bring-up, optimization, and training on Tenstorrent hardware
How to lead programs that support development velocity and scalable operations
Partnering with top engineering teams to support development velocity, plan model drop schedules, and execute on high-impact decisions
Our approach to building robust, scalable, open-source–focused developer software that enables the developer community and enterprise customers

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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