Staff System Software Engineer

Graphcore
Cambridge
1 month ago
Applications closed

Related Jobs

View all jobs

GCP Engineer

Senior Data Scientist (GenAI)

Senior Data Scientist (MLOps)

Capacity Planning & Data Analyst

Software Engineer / Computer Science Placement

Backend Engineer, LegalTech

About GraphcoreHow often do you get the chance to build a technology that transforms the future of humanity?Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business.Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world's leading backers of innovative AI companies.Job SummaryThe Staff System Software QA engineer is responsible for designing and delivering software validation and quality assurance solutions for the System Software group. This involves creating and executing tests, identifying errors and providing feedback that the final product meets both the requirements of the product and the expected levels of quality. You are expected to engage with all stakeholders inside the System Software group, show some technical initiative in designing and delivering solutions and support the more junior members of the team in acquiring new skills.The TeamThe System Software Group is charged with enabling the next generation of cutting-edge AI compute server class systems. We are responsible for all low-level firmware, Linux Kernel device drivers, baseboard management controllers, and platform support tools. Specifically, the System Software QA team ensure that the deliverables from the System Software group are of the highest standards for our customers.Responsibilities and DutiesResponsible for Test Design and development for projects within SystemSoftware including Firmware, Kernel and Baseboard ManagementControl modules.Responsible for Maintenance and Improvement of Python based in-houseAutomation framework.Maintaining and Enhancing Continuous Integration against Simulations,Emulations and Physical Hardware.Working closely with all System Software development teams supportinga culture of Test-Driven Development.Candidate ProfileEssential:Test design and development experience for Firmware and/or Linux kernel.Understanding of OS kernel and device driver primitives with experience in Linux or similar systems.Experience in performance and latency measurements for a low-level software stack.Knowledge of virtualisation and hypervisor concepts.Working experience in one or more of these: OpenBMC, Firmware, Kernel Internals, Low level Security testing.Strong Proficiency in: C, C++ and Python.Possess excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to challenging problems.DesirableExperience in Chip level or Platform security tests.Contributions to open-source forums: Linux/ OpenBMC.Experience with Kubernetes integration to system software.ISTQB certifications.BenefitsIn 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 offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 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 adjustmentsApplicants for this position must hold the right to work in the UK.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.