Arm

This is a graduate-level hardware design role at Arm focused on developing next-generation Machine Learning accelerators and digital IP for diverse global technologies.Job Overview:We are looking for graduate engineers passionate about a career in digital hardware design. Working on innovative Arm IP, you’ll help develop technology that powers the next generation of mobile apps, smart devices, home automation, connected cities, self-driving cars, and much more!Whatyou could be doing as a Graduate in our team?As a hardware design engineer, you’ll join a growing, highly skilled, and supportive team developing Machine Learning accelerators. Collaborating with colleagues across our international design centres, you’ll contribute to the design and verification of Arm’s next-generation IP using the latest tools and methodologies.Above all, you’ll bring enthusiasm to learn and curiosity to explore this exciting technology. You’ll be encouraged to share your knowledge and ideas with other innovators across Arm, reflecting both our core beliefs and collaborative culture.We are looking for individuals who:Currently pursuing or have completed a university degree in Electrical Engineering, Computer Science, or a related field.Strong problem-solving and programming skills and the ability to understand sophisticated systems.Excellent written and verbal communication skills.Qualities that will help your application stand out:Understanding of digital hardware and familiarity with hardware description and scripting languages (VHDL, Verilog, SystemVerilog, python)Basic knowledge of computer architecture.Additional Information:We encourage early applications as we review them on a first come/first served basis.Please note that relocation support is available for this role for domestic moves within the country. Visa sponsorship support is also available for candidates who require it.Application Closing Date: Thursday 11th June 2026

Posted yesterday

This graduate role within the Edge AI Engineering group focuses on analyzing and optimizing AI and graphics workloads on real client devices (such as smartphones and notebooks). You will profile systems to identify hardware bottlenecks, build AI benchmarking applications, and evaluate Arm's Neural Graphics Project against alternative accelerator technologies.Job Overview:Help craft the future of AI on billions of devicesMost people use AI every day without thinking about the engineering underneath it. Every photo enhancement, voice assistant, image generator, AI camera feature, or real-time translation system depends on sophisticated interactions between hardware, software, and the workloads running on real devices. At Arm, we build the technology powering those experiences.We are looking for a Graduate Engineer to join the System Performance team within Arm’s Edge AI Engineering group. This team engages with real client devices—smartphones, notebooks, and emerging AI-enabled platforms—to understand modern AI workloads and how Arm technology delivers outstanding user experiences.You will work hands-on with commercial devices, AI models, performance analysis tools, and partner ecosystems to investigate how next-generation AI workloads execute on Arm-based systems. You will also help evaluate and shape the future of Arm’s Neural Graphics Project (NGP), exploring how it compares with NPUs and other AI acceleration technologies across graphics and non-graphics workloads. If you are curious about how computers work, passionate about artificial intelligence and performance, and enjoy investigating complex technical problems, this role offers a rare opportunity. It focuses on the intersection of hardware, software, graphics, and AI.Whatcould you be doing as a Graduate in our team?Analyse the performance of AI and graphics workloads on mobile phones, laptops, and edge devicesInvestigate how competitive Arm AI acceleration technologies are compared to alternative solutionsExplore how emerging workloads such as generative AI, agentic AI, computer vision, and multimodal AI execute on real systemsBuild and evaluate representative AI applications and benchmarksProfile systems to identify CPU, GPU, memory, and system bottlenecksCollaborate with internal engineering teams and external ecosystem partners to optimise software and workloadsStudy how real users interact with AI-enabled devices and help shape future performance requirementsDevelop tools, scripts, and analysis pipelines to process workload and performance dataHelp define what future client AI experiences should look like on Arm-based platformsThis role gives you exposure to some of the most important technology shifts happening today! You will join a collaborative team that values curiosity, experimentation, and technical depth.We are looking for individuals who:Hold, or be on track to hold, a degree in Computer Science, Electronic Engineering, Software Engineering, or a related subject. We care strongly about curiosity, technical foundations, and the willingness to learn.Are curious about computing systems and how hardware and software work together to create real-world experiencesUnderstand computer systems concepts such as operating systems, processors, memory, graphics, and system architecture, with strong problem-solving skillsHave some experience with Python, C/C++, or similar languages, and an interest in AI/ML, graphics, performance engineering, and data analysisQualities that will help your application stand out:Experience in any of the following areas would be valuable:Experience with AI/ML frameworks such as PyTorch, TensorFlow, ONNX, or similarKnowledge of Android, Linux, or embedded software developmentExposure to GPU, NPU, accelerator technologies, or performance optimisationInterest in computer graphics, computer vision, or modern AI workloadsExperience with personal technical projects or contributions to open-source softwareAdditional Information:We encourage early applications as we review them on a first come/first served basis. Please note that relocation support is available for this role for domestic moves within the country. Visa sponsorship support is also available for candidates who require it.Application Closing Date: Monday 25th May 2026We aim to review all applications no later than two weeks after the closing date. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.In Return:You’ll receive a starting salary of £47K (Bachelor level) or £48K (Master level), alongside a comprehensive rewards package. As you develop in role, you’ll have clear opportunities to progress within the salary range at Arm. With mid-year and year-end reviews, you’ll have two formal progression windows each year, recognising your growth.You can also attend our “Grad-teach-Grads” workshops, guest speaker series, and social events to expand your knowledge. If you’d like to get more involved, you can join the Graduate Committee to further develop your planning, networking, and coordination skills.You’ll be invited to our Global Graduate Conference (GGC) — an annual event where graduates hear from executive leaders, guest speakers, and build lasting connections. With many of our leaders and technical specialists having originally joined as a Graduate, will you be next?

Posted 17 days ago

This graduate role within the System Performance Team focuses on analyzing and optimizing Arm systems from data centers to IoT. You will model, simulate, and abstract hardware-software stacks to evaluate workload performance across AI/ML, computer vision, and gaming, providing efficiency recommendations to multiple design teams.Job Overview:Arm’s System Performance Team within Central Technology Group evaluates emerging technologies for Arm products spanning data centres to IoT. Using a hardware-software co-design approach, we analyse system performance and help shape future Arm technologies. We are looking for a Graduate Engineer to support the analysis and optimisation of Arm systems. The role involves studying, modelling, and analysing applications and workloads across areas including AI/ML, computer vision, media, gaming, and productivity.Whatcould you be doing as a Graduate in our team?This role is multifaceted, and you are encouraged to both think out of the box and follow well-known strategies! The end goal is to help improve Arm's Products in every release. You will be contributing to that goal by: analysing how each Arm-based system works and how does it run those different applications; abstracting the entire stack in our system modelling apparatus; and iterating on interpreting the results and re-experimenting with the stack's abstraction. The output of these studies will be consumed by multiple design teams that work on the system, providing recommendations for improving its performance and efficiency.We are looking for individuals who:Hold (or are on track to hold) a university degree by the programme start date. This can be Bachelors, Masters or PhD in a STEM degree. Candidates with alternative degrees will also be considered if they have relevant experience.Have a good understanding of Computer and System Architecture, and Software StacksSome exposure to using scripting languages (e.g. Python), shell scripting (e.g. bash), and any procedural programming language (e.g. C, C++)Qualities that will help your application stand out:Understanding of, and exposure to, Software and Hardware performance analysisAttention to detail and enjoying working with other teamsExposure to version control systems (e.g. git, svn, csv)Additional Information:We encourage early applications as we review them on a first come/first served basis. Please note that relocation support is available for this role for domestic moves within the country. Visa sponsorship support is also available for candidates who require it.Application Closing Date: 24th May 2026We aim to review all applications no later than two weeks after the closing date. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.In Return:You’ll receive a starting salary of £47k (Bachelor level) or £48k (Master level), alongside a comprehensive rewards package. As you develop in role, you’ll have clear opportunities to progress within the salary range at Arm. With mid-year and year-end reviews, you’ll have two formal progression windows each year, recognising your growth.You can also attend our “Grad-teach-Grads” workshops, guest speaker series, and social events to expand your knowledge. If you’d like to get more involved, you can join the Graduate Committee to further develop your planning, networking, and coordination skills.You’ll be invited to our Global Graduate Conference (GGC) — an annual event where graduates hear from executive leaders, guest speakers, and build lasting connections. With many of our leaders and technical specialists having originally joined as a Graduate, will you be next?Salary Range:£42,500 - £57,500 per year

Posted 17 days ago