National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Performance Engineer - Open Source

Canonical
London
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence And Machine Learning Engineer

Experienced Ai / Machine Learning Engineer

Applied Scientist, Ats Machine Learning & Engineering (Ml&E) (London)

Data Science Manager

Junior/Mid/Senior Data Scientist - Hybrid, London

Data Scientist

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with + colleagues in 70+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

We have created a new career path at Canonical forPerformance Engineerswho bring exceptional clarity to software performance, correctness and efficiency. We are adding these roles to every engineering team at the company.

As an open source platform, we have teams that work at every level of the software stack - from the kernel up through server and desktop applications, all the way to the web. We are adding roles with this focus in every engineering team in the company, to act asdrivers of performance engineering skills, tools, culture and insights to our entire product range. We have also created a central performance engineering team, where we will drive shared tools, dashboarding capabilities, measurement frameworks, analytical capabilities and skills. We call this career focus 'percorr' because we have found that the same deep insights that enable sophisticated performance measurement and design also enable teams to improve their harnesses and frameworks for correctness. Understanding not only the application, but the runtime, the compiler, and the system, all the way down to the CPU, gives an engineer the ability to think creatively and with insight about the right things to measure, and the right ways to verify correctness. We have found that performance engineers will often improve the deepest and trickiest areas of our test harnesses, and unblock their teams to test and measure previously 'dark' aspects of their work.

We also have teams that work with every major silicon vendor and cloud, with a particular emphasis on performance optimisation of the entire stack for that architecture, CPU family or hypervisor. Our goal is to ensure that Ubuntu users can select whatever platform they want for their workloads and know they have access to the very best performance and efficiency across the entire stack from kernel to codec.

If they wish, we will enable performance and correctness engineers to move between products every two years, so that they have the opportunity to raise the bar for performance in an array of products over time, and also that teams have the benefit of fresh eyes on their processes, thinking, harnesses, dashboards and code. Our performance and correctness leads are expected to betruly exceptional individuals, and also leaderswho are confident setting expectations of change, sharing insights and skills, running initiatives and programs.There is no way to move a meaningful codebase without also moving the people behind it.

This is a career path for perfectionists and precision artists. Whether you have a particular language focus - C, C++, Rust, Golang, Python, Java, Flutter-Dart or others - or a particular love of the kernel or hardware or CPU instruction set, whether you see yourself as driving perceived user experience through performance or optimising the efficiency of data centers to reduce carbon footprint, this process is the best way to find a role at Canonical that speaks to your precision, rigour, insight and drive.

Location: We have teams in every time zone, and can accommodate applications from almost any country.

Nice-to-have skills we value

Low-level CPU insights and assembly language - understanding cache, registers, vectorization, memory Kernel performance insights - scheduling, context switching, hardware acceleration Distributed systems performance insights - tracing, debugging Compiler level performance insights - profile guided optimization, inlining, assembler Runtime performance insights - Golang, Python, JVM, NodeJS Database performance evaluation - plans, indexing, data modelling, tracing, monitoring Web browser performance insights - JS, web frameworks, tracing, CSS Performance measurement tooling - profiling, eBPF, D-Trace, flamegraphs Benchmarks and performance measurement tools - Phoronix Test Suite, others Test harnesses and capabilities in C, C++, Rust, Python, Golang, NodeJS, JavaScript

The role entails

Drive software performance and correctness in a specific project Collaborate with colleagues and community around the globe Work on shared tools and infrastructure for performance measurement, analysis and reporting Teach, train and develop skills in your team for performance culture and design Strengthen test capabilities, harnesses and pipelines Analyze systems and code to understand performance and scalability Solve problems directly or through influence, leadership and skills development Review code and technical designs

What we are looking for in you

Exceptional academic track record from both high school and university Undergraduate degree in Computer Science, Mathematics or Physics Demonstrable personal initiatives to measure and improve performance, efficiency and correctness in code Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Leadership and commitment to skills development and mentorship Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation  Result-oriented, with a personal drive to meet commitments  Ability to travel internationally twice a year, for company events up to two weeks long

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2, per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.