高级云软件工程师
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Senior Cloud Software EngineerGraphcore · Gdańsk, Pomeranian Voivodeship, 波兰 · 260k – 352k
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发现指数 64/100,仅依据与该职位一起存储的证据计算。
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职位描述
英文原文该职位由雇主以英文发布,暂无中文版本,下面完整显示英文原文。 查看官方职位页面.
职位描述
Salary Range: PLN 260,400 - 352,200
Subject to alignment to the responsibilities and duties of the role.
About the job
Help make Graphcore’s AI accelerators feel native inside modern Kubernetes environments.
As a Senior Cloud Software Engineer, you will lead software that enables new AI accelerator hardware within Kubernetes. You will build Go applications that make complex hardware simple to deploy, manage and operate.
Your work will help engineering teams integrate new hardware into existing clusters with a smooth Kubernetes experience. You will shape how users interact with Graphcore technology in cloud-native environments.
You will design, build, test and maintain production-quality software, while guiding engineers through complex technical decisions. You will also help strengthen documentation, code quality and delivery standards.
This role sits close to hardware, orchestration and cloud infrastructure. It offers rare ownership over software that connects AI compute with the systems used to run it.
The team and culture
You will work with engineers across cloud software, hardware, platform and infrastructure. The team turns complex integration problems into practical software that users can trust.
Work happens through clear technical ownership, direct communication and fast feedback. You will be expected to lead by example, mentor others and raise the quality bar.
Decisions are guided by evidence, engineering judgement and open discussion. You will have space to speak up, take responsibility and move important work forward.
What we’re looking for
• Strong experience in software development, ideally with cloud environments or infrastructure platforms
• Proficiency in Go, with the ability to design, build and maintain reliable applications
• Deep Kubernetes experience, including container orchestration and cloud-native development
• Strong Linux knowledge and confid
任职要求
• Strong experience in software development, ideally with cloud environments or infrastructure platforms
• Proficiency in Go, with the ability to design, build and maintain reliable applications
• Deep Kubernetes experience, including container orchestration and cloud-native development
• Strong Linux knowledge and confidence troubleshooting complex technical issues
• A track record of delivering complex technical solutions and improving engineering quality
• Clear communication, mentoring and teamwork skills, with English at C1 level
While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate.
福利待遇
• Flexible working: Balance your work and personal life with greater flexibility
• Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
• Phantom equity: Share in Graphcore’s success
• Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
• Financial protection: Death and disability insurance, providing financial security for you and your loved ones
• Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
• Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.
Sponsorship
Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.
Join the Team at Graphcore
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.
If you want to make AI accelerator hardware easier to run in Kubernetes, we’d love to hear from you. Apply now to be part of the journey.
薪资
Subject to alignment to the responsibilities and duties of the role.
About the job
Help make Graphcore’s AI accelerators feel native inside modern Kubernetes environments.
As a Senior Cloud Software Engineer, you will lead software that enables new AI accelerator hardware within Kubernetes. You will build Go applications that make complex hardware simple to deploy, manage and operate.
Your work will help engineering teams integrate new hardware into existing clusters with a smooth Kubernetes experience. You will shape how users interact with Graphcore technology in cloud-native environments.
You will design, build, test and maintain production-quality software, while guiding engineers through complex technical decisions. You will also help strengthen documentation, code quality and delivery standards.
This role sits close to hardware, orchestration and cloud infrastructure. It offers rare ownership over software that connects AI compute with the systems used to run it.
The team and culture
You will work with engineers across cloud software, hardware, platform and infrastructure. The team turns complex integration problems into practical software that users can trust.
Work happens through clear technical ownership, direct communication and fast feedback. You will be expected to lead by example, mentor others and raise the quality bar.
Decisions are guided by evidence, engineering judgement and open discussion. You will have space to speak up, take responsibility and move important work forward.