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

Nominate & Attend

LLVM Compiler Engineer

IC Resources
6 months ago
Applications closed

LLVM Compiler Engineer

£100,000+ DOE, UK remote working + stock options!


I'm currently partnered with a Semiconductor start-up, based in Silicon Valley. They are working on re-imagining Silicon, creating RISCV based computing platforms aimed at transforming the industry. As an LLVM Compiler Engineer you will develop functional and timing simulators, undertake performance analysis for architectural exploration and identify and fix performance bottlenecks. You'll also be involved in workload analysis, to develop a deep understanding of the characteristics of workloads in the target market (machine learning, data analytics, graph analytics).


They are looking for a passionate and dedicated person and in return, you'll get the opportunity to work in a fun, flexible collaborative working environment. Their team in the UK is currently small, but growing rapidly, therefore you have the chance to be part of a disruptive and talented group of exceptional people.


What's required for this LLVM Compiler Engineer position?


  • Strong C/C++ development skills
  • Excellent understanding of GPU/CPU architecture and microarchitecture
  • LLVM Expertise
  • Understanding of benchmarks and workloads in the ML space


If you are a LLVM Compiler Engineer, looking for an opportunity to work in a flexible, creative environment, please apply to learn more!


To find out more about this and other Software opportunities across the UK, please contact Mitch Wheaton at IC Resources

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.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.