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

Nominate & Attend

Junior RTL Power Optimisation Engineer

Apple
Cambridge
10 months ago
Applications closed

Related Jobs

View all jobs

Junior Embedded Software Engineer

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Graduate / Junior Technology Consultant

Summary:
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you will help design and manufacture our next-generation, high-performance, power-efficient processor and system-on-chip (SoC). You will ensure Apple products and services can seamlessly handle the tasks that make them beloved by millions. Joining this group means you’ll be crafting and building the technology that fuels Apple’s devices. Together, we enable our customers to do all the things they love with their devices .
Key Qualifications:
Description:
In this role, you will be responsible for power analysis and optimisation of Apple’s GPU products. As part of the Power Optimisation team, you will simulate the power consumption of components within the GPU with various workloads. You will analyse the data to look for opportunities to improve the energy efficiency of the components, and work with the design and implementation teams to make improvements to the logic throughout the development process.You will be working with RTL and gate level simulations, emulation, and power analysis tools to generate data, analysing that data using scripts, power models, spreadsheets and machine learning. You will summarise and present your conclusions and recommendations to the team. As well as driving the optimisation of the GPU logic, you will have the opportunity to enhance the power analysis and optimisation methodologies and develop new techniques.
Additional Requirements:

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.