At a Glance
- Tasks: Design and implement cutting-edge OS Kernel and Device Driver software using C/C++/Python.
- Company: Join Graphcore, a leader in AI compute innovation and technology.
- Benefits: Enjoy flexible working, generous leave, private medical insurance, and a matched pension plan.
- Other info: Inclusive work environment with excellent career growth opportunities.
- Why this job: Be part of a dynamic team solving tough problems in the future of artificial intelligence.
- Qualifications: Experience in software development, especially with OS Kernel and Device Drivers on Linux or Windows.
The predicted salary is between 60000 - 80000 € per year.
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 datacentre scale. 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.
As a member of the drivers and utilities team you will contribute to the planning, design, implementation and testing of low level kernel drivers and user space driver library code. You will be part of one of the two teams in the system software department (the firmware team being the other one) and report to the drivers and utilities team manager.
The drivers and utilities team forms part of the system software group – working closely with both software engineers developing our Poplar SDK and with silicon and hardware engineers developing Graphcore’s IPU solution. The drivers and utilities team develop custom control software on the host in kernel and user space. Our solutions enable our customers to get maximum performance and utility for our cutting‑edge products.
Responsibilities and Duties- Design, implement, test and document OS Kernel and Device Driver software at the highest standard using C/C++/Python programming languages
- Participate in agile development – working as part of a scrum team to develop the right software at pace
- Communicate effectively and contribute regularly to technical discussions with your peers in software and hardware engineering, with architects and other stakeholders
- Hands‑on during key product development phases involving close working with hardware and silicon engineering groups to enable fast time to market delivery
- Industry experience in software development using programming languages such as C/C++.
- Familiar with OS Kernel and Device Driver development and deployment on Linux or Windows systems
- Good understanding of lower‑level software stack and interactions with the hardware layer
- Possess effective problem‑solving skills, familiar with some debug and performance analysis tools and techniques
- Experience with one or more of the following: PCIe, CPU, device drivers, SoC, firmware, and hardware/software integration
- Experience developing firmware or drivers for GPUs or other accelerators
- Experience working on upstreaming of kernel code / contributing to Linux kernel.
- Exposure to integration with data centre / cloud service operations – for example integration with Kubernetes or open stack.
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
System Software Engineer New Cambridge, UK employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work environment in Cambridge where innovation thrives. With a strong focus on employee growth, we provide opportunities to work alongside industry experts in AI and semiconductor technology, while enjoying benefits such as flexible working, generous leave policies, and comprehensive health plans. Our commitment to inclusivity ensures that every team member can contribute meaningfully to the future of AI compute.
StudySmarter Expert Advice🤫
We think this is how you could land System Software Engineer New Cambridge, UK
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Graphcore. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your C/C++ prowess, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience with kernel drivers.
✨Tip Number 3
Prepare for technical discussions! Brush up on your knowledge of OS Kernel and Device Driver development. Being able to discuss your problem-solving approach will impress the team and show you’re ready to dive into the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace System Software Engineer New Cambridge, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the System Software Engineer role. Highlight your experience with C/C++ and any relevant projects involving OS Kernel and Device Driver development. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI compute and how your background makes you a great fit for our team. Don’t forget to mention any experience with agile development or working closely with hardware.
Showcase Your Problem-Solving Skills:In your application, be sure to highlight specific examples of how you've tackled complex problems in software development. We love seeing candidates who can think critically and come up with innovative solutions, especially in low-level programming.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at graphcore
✨Know Your Stuff
Make sure you brush up on your C/C++ and Python skills, especially in the context of OS Kernel and Device Driver development. Familiarise yourself with the specific technologies mentioned in the job description, like PCIe and GPU drivers, so you can speak confidently about your experience.
✨Show Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in software development. Think about times you've used debug and performance analysis tools, and be ready to explain your thought process during those challenges.
✨Engage in Technical Discussions
Since communication is key in this role, practice articulating your ideas clearly. Be prepared to engage in technical discussions about your past projects and how they relate to the work at Graphcore. This will show that you can collaborate effectively with both software and hardware teams.
✨Understand Agile Methodologies
Familiarise yourself with agile development practices, as you'll be working in a scrum team. Be ready to discuss how you've contributed to agile projects in the past and how you adapt to fast-paced environments.
