At a Glance
- Tasks: Supercharge accelerator programming and optimise compute-intensive workloads for cutting-edge AI architectures.
- Company: Join KRAI, a leader in AI benchmarking and optimisation based in Cambridge, UK.
- Benefits: Competitive salary, collaborative culture, and opportunities to work on groundbreaking projects.
- Other info: Be part of a dynamic team contributing to open-source and industry-leading competitions.
- Why this job: Make a real impact in the AI field and push the boundaries of technology.
- Qualifications: Advanced degree in Computer Engineering/Science and 3+ years of relevant experience.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for research-oriented engineers to advance the state-of-the-art of accelerator programming. In particular, we are aiming to supercharge the development of low-level kernels for a variety of accelerator architectures. True challenge comes from mapping the ever evolving workloads (e.g. AI models) onto the ever evolving hardware (e.g. AI accelerators) under the infinite space of quality/performance/cost/etc requirements and trade-offs. Our approach blends the timeless pursuit of Pareto optimality with systematic engineering. Our goal stretches beyond producing functionally correct solutions, but reaching for ones that surprise and delight even seasoned professionals (e.g. ourselves or our customers!).
Qualifications
- You should be intimately familiar with traditional tools of the trade such as compilers, debuggers, profilers, simulators, roofline models, etc., but at the same time not be afraid (or ashamed!) to use frontier AI techniques to help solve complex engineering challenges.
- An advanced degree in Computer Engineering/Science or Natural Sciences.
- At least 3 years of experience optimizing compute-intensive workloads on accelerator hardware (e.g. GPUs or FPGAs).
- Experience with optimizing inference across the full stack (“neuralware”/middleware/hardware).
- Strong communication, collaboration, and leadership skills.
Background
Headquartered in Cambridge, UK (“Silicon Fen”), KRAI is a purveyor of premium benchmarking and optimization solutions for AI Systems. We work with a variety of accelerator architectures, with some of them years before they reach maturity. We successfully combine our knack for performance engineering with rigorous methodology and artistic flair. We actively contribute to open-source and research efforts. We are proud to be a Founding Member of MLCommons, the parent organization of the industry-leading MLPerf competitions, sometimes called “The Olympics of AI Systems”. Our team has participated in over 20 MLPerf rounds since 2019, a record only matched by NVIDIA. As an “Olympic coach” to accelerator designers (e.g. Qualcomm, Google), server manufacturers (e.g. HPE, Dell, Lenovo), and cloud providers (e.g. Nebius), we have contributed to some of the fastest and most energy efficient results in the history of MLPerf.
The Art of Accelerator Programming in London employer: HiPEAC
KRAI is an exceptional employer located in the heart of Cambridge, UK, where innovation thrives in the vibrant tech hub known as Silicon Fen. We foster a collaborative and dynamic work culture that encourages creativity and professional growth, offering our engineers the opportunity to work on cutting-edge projects that push the boundaries of AI technology. With a commitment to open-source contributions and a track record of excellence in industry competitions, we provide a unique environment for those looking to make a meaningful impact in the field of accelerator programming.
StudySmarter Expert Advice🤫
We think this is how you could land The Art of Accelerator Programming in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at HiPEAC or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to HiPEAC.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like HiPEAC.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like HiPEAC that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace The Art of Accelerator Programming in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at HiPEAC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at HiPEAC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at HiPEAC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If HiPEAC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
