Lead software development for AI accelerators in Kubernetes, shaping user interactions in cloud-native environments.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Cloud Software Engineer at Graphcore, the individual will focus on developing software that simplifies the deployment and management of AI accelerator hardware within Kubernetes environments. Key skills include proficiency in Go, deep knowledge of Kubernetes, and strong Linux troubleshooting abilities. This position is ideal for experienced engineers who have a track record of delivering complex solutions and are comfortable mentoring others. The collaborative team culture emphasizes clear communication and technical ownership, fostering an environment where innovative ideas can thrive.
Joblaze insights
Quick facts
From the original posting
Salary Range: PLN 260,400 - 352,200
Subject to alignment to the responsibilities and duties of the role.
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.
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.
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.
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.
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.
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.