Infrastructure and Platform Engineer, Tenstorrent

Metal

$100-500k

+ Variable compensation

Kubernetes

Python

Linux

Junior, Mid and Senior level

Austin

San Francisco Bay Area

Toronto

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

+ Variable compensation

Kubernetes

Python

Linux

Junior, Mid and Senior level

Austin

San Francisco Bay Area

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

Experienced backend or infrastructure engineer with a focus on platform development in large-scale environments
Strong expertise in Kubernetes, including cluster provisioning, operators, and production debugging
Proficient in Python or Go for building APIs and platform services
Comfortable working with Linux systems, networking fundamentals, and distributed systems
Collaborative and adaptable, able to work across engineering, infrastructure, and deployment teams

What the job involves

This role focuses on designing and operating Kubernetes-based platforms on on-prem data centers, enabling engineers and customers to run workloads efficiently on Tenstorrent hardware
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
Design and build platform services for workload orchestration, ML services, and internal development workflows
Develop APIs and systems that enable users and services to interact with infrastructure platforms
Own Kubernetes-based platforms including cluster lifecycle, scaling, and operational maturity
Integrate platform systems with CI/CD pipelines, GitOps workflows, and internal tooling
Partner with SRE, infrastructure, and deployment teams to support large-scale internal and external environments

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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