Remote OK
home_work
Remote
Engineering Manager Workload Management
Graphcore
location_on
GdaÅsk
payments
$350,700 – $474,400/yr
schedule
Full Time
calendar_today
3 months ago
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description Job Description
Salary Range: PLN 350,700 - 474,400 + Benefits + Equity
Subject to alignment to the responsibilities and duties of the role
About Graphcore
At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Job Summary
We are seeking an experienced Engineering Manager to join our Workload Management Team, leading our Kubernetes ecosystem initiatives. In this role, you will work closely with the Platform Engineering, AI, and Software Engineering teams, leading a group of engineers responsible for integrating a next-generation hardware accelerator into Kubernetes environments, validating the K8s integration, and supporting DevOps initiatives.
This is a people-focused leadership role, not a hands-on engineering position. However, a strong background in software engineering and cloud-native technologies is essential to effectively guide the team, understand technical challenges, and collaborate clearly with a wide range of stakeholders.
Previous line-management experience is required.
The Platform Engineering team at Graphcore
Please mention the word AVID and tag RMmEwMjo0NzgwOjJiOjE5NDk6MDoyODFhOjJlNTM6MQ== when applying to show you read the job post completely (#RMmEwMjo0NzgwOjJiOjE5NDk6MDoyODFhOjJlNTM6MQ==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
Subject to alignment to the responsibilities and duties of the role
About Graphcore
At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Job Summary
We are seeking an experienced Engineering Manager to join our Workload Management Team, leading our Kubernetes ecosystem initiatives. In this role, you will work closely with the Platform Engineering, AI, and Software Engineering teams, leading a group of engineers responsible for integrating a next-generation hardware accelerator into Kubernetes environments, validating the K8s integration, and supporting DevOps initiatives.
This is a people-focused leadership role, not a hands-on engineering position. However, a strong background in software engineering and cloud-native technologies is essential to effectively guide the team, understand technical challenges, and collaborate clearly with a wide range of stakeholders.
Previous line-management experience is required.
The Platform Engineering team at Graphcore
Please mention the word AVID and tag RMmEwMjo0NzgwOjJiOjE5NDk6MDoyODFhOjJlNTM6MQ== when applying to show you read the job post completely (#RMmEwMjo0NzgwOjJiOjE5NDk6MDoyODFhOjJlNTM6MQ==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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