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Home›Jobs›Graphcore›Staff Engineer - Cloud Development
Graphcore

About Graphcore

Accelerating AI with efficient, powerful technology

🏢 Tech👥 201-500 employees📅 Founded 2016📍 Old City, Bristol, UK💰 $682m⭐ 3.9
B2BArtificial IntelligenceEnterpriseDeep TechComputer VisionMachine LearningSaaSCloud Computing

Key Highlights

  • Headquartered in Bristol, UK with 201-500 employees
  • $682 million raised in Series D funding
  • Developing an AI supercomputer set to debut in 2024
  • Specializes in AI accelerators for deep learning and computer vision

Graphcore, headquartered in Bristol, UK, is a leading player in the artificial intelligence sector, specializing in AI accelerators designed to enhance machine learning efficiency. With over $682 million raised in Series D funding, Graphcore is developing an AI supercomputer set to launch in 2024, a...

🎁 Benefits

Graphcore offers flexible working arrangements to promote work-life balance, along with Private Medical Insurance (PMI) for employees and their famili...

🌟 Culture

Graphcore's culture is centered around sustainability and innovation in AI technology. The company focuses on developing energy-efficient solutions th...

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Graphcore

Staff Engineer - Cloud Development

Graphcore • Bristol, UK

Posted 2d agoSeniorStaff engineer📍 Bristol
Apply Now →

Skills & Technologies

DevopsCloudInfrastructure-as-codeNetworkingStorage systems

Overview

Graphcore is seeking a Staff Engineer for their Cloud Development Team to develop and deploy services on cutting-edge AI systems. You'll work closely with various engineering teams and require a solid background in DevOps tooling and cloud infrastructure.

Job Description

Who you are

You have a strong background in cloud development and deployment, with hands-on experience in using DevOps tooling and Infrastructure-as-Code. Your expertise in networking and storage systems allows you to effectively manage and optimize high-performance AI solutions. You thrive in collaborative environments, working closely with cross-functional teams to deliver impactful results. You understand the complexities of cloud infrastructure and are adept at performance benchmarking and validation. Your experience in datacenter operations equips you with the skills to operate services on advanced AI systems. You are passionate about contributing to the future of AI compute and are eager to tackle challenging problems in this space.

Desirable

Experience with large-scale AI systems and familiarity with various cloud providers would be advantageous. A background in semiconductor or software engineering can enhance your contributions to the team. You are open to learning new technologies and methodologies that can improve service deployment and operation.

What you'll do

As a Staff Engineer in the Cloud Development Team, you will be responsible for developing and deploying services that leverage our cutting-edge AI systems. You will collaborate with Platform Engineering and Datacentre Operations to ensure seamless integration and operation of services. Your role will involve optimizing performance and conducting validation tests to ensure the reliability of our AI solutions. You will utilize Infrastructure-as-Code practices to automate deployment processes, enhancing efficiency and scalability. You will also engage in troubleshooting and resolving issues that arise in the cloud infrastructure, ensuring minimal downtime and optimal performance. Your contributions will directly impact the success of our AI compute initiatives, making you a key player in our mission to advance AI technology.

What we offer

At Graphcore, we provide a dynamic work environment where innovation thrives. You will have the opportunity to work with some of the brightest minds in the industry, contributing to groundbreaking technology in AI compute. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Our culture encourages collaboration and creativity, allowing you to make a meaningful impact on our products and the future of artificial intelligence. We value diversity and inclusion, and we are committed to providing a supportive workplace for all employees.

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