Staff Cloud Software Engineer, Tenstorrent

Salary not provided

Kubernetes

Python

Bash

Terraform

C++

Ansible

Chef

Senior and Expert level

San Francisco Bay Area

More information about location

5 days a week in office (Santa Clara, CA)

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

Salary not provided

Kubernetes

Python

Bash

Terraform

C++

Ansible

Chef

Senior and Expert level

San Francisco Bay Area

More information about location

5 days a week in office (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

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
Proven experience as a software engineer with a focus on cloud-based infrastructure
Strong expertise in designing and deploying cloud solutions using Portal, Kubernetes (K8), and OpenStack
Experience with infrastructure provisioning tools such as Terraform, Ansible, or Chef
Proficiency in programming languages like Python, C++, and scripting languages like Bash
Familiarity with bare metal provisioning, including hardware configurations and low-level systems software development
Understanding of security best practices in cloud environments
Excellent problem-solving and analytical skills
Strong communication and collaboration abilities, with the capability to work effectively in cross-functional teams
Self-motivated and able to work independently with minimal supervision

What the job involves

As a Staff Cloud Software Engineer, you will collaborate closely with cross-functional teams to ensure the scalability, security, and efficiency of our cloud platform
Design, develop, and maintain the cloud-based infrastructure to support our semiconductor startup
Collaborate with cross-functional teams to gather requirements and translate them into scalable cloud solutions
Implement and maintain the company's cloud portal, providing a user-friendly interface for managing cloud resources
Configure and optimize Kubernetes (K8) clusters to support efficient deployment and management of containerized applications
Manage and maintain the OpenStack infrastructure, ensuring high availability and scalability
Automate infrastructure provisioning processes, including both cloud and bare metal resources, using industry-standard tools and technologies such as Python, Ansible, and C++
Develop systems-level software to interface with hardware components, optimizing performance and reliability
Monitor and troubleshoot cloud-based systems, addressing any performance or security issues
Stay up to date with emerging cloud technologies, systems software, and industry trends, providing recommendations for continuous improvement
Participate in code reviews, ensuring high-quality code and adherence to best practices

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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