ARM Sweden AB

We have a fantastic opportunity to move into Machine Learning and Artificial Intelligence, key technologies for the future of computing. Working on innovative Arm IP, crafting technology that powers the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more! Arm is entering a new growth phase to develop innovative technologies and products for existing and new markets. We need hardworking and motivated people to join our team. Working with the world’s best companies as they build sector-leading products from our inventions, you’ll share ideas with and learn new skills from top engineers globally. We work in small teams, so your contributions will make a difference. This role offers the opportunity to lead, challenge the status quo, and ultimately change the world of ML and AI! What you might be working on as a Graduate? Our next generation NPU development begins on the HW modelling platform. As a graduate HW Modelling engineer, you will develop and build new features and assess their performance. You will collaborate closely with the ML HW design and verification teams, contributing to the architecture, specification, and verification of the product. You will also support the compiler team to ensure the HW runs efficiently and help maintain the model as an external deliverable in customer engagements. In the role of a Graduate Engineer, you are responsible for delivering well-tested, high-quality code for ML hardware modelling projects and will work together with hardware design and verification teams to debug problems and assist development. We are looking for individuals who: Hold (or are on track to hold) a degree by the programme start date. This can be a Master’s or PhD degree in Machine learning, Electrical Engineering, Engineering Physics, Computer Science, or similar technical field. Strong analytical skills, eagerness to find innovative solutions to complex problems. Comfortable working in a fast paced and dynamic environment. Enjoy working in an environment where you cooperate closely in a diverse team of colleagues, striving together to reach common targets. Genuine interest and strong skills in programming (preferably C, C++). Qualities that will help your application stand out: Source control skills (Git, Gerrit, Repo). Understanding of SystemC and HLS flows. Understanding of HW build and/or modelling. Knowledge of agile SW development methods. Knowledge of Machine Learning applications and frameworks. Understanding of signal processing and control systems. Additional Information: We encourage early applications as we review them on a first come/first served basis. Please provide an academic transcript as part of your application. Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it. In Return: You’ll receive a starting salary of SEK 545,000 (Bachelor level) or SEK 555,000 (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?

Put programming skills to work on real hardware challenges! At Arm, we’re looking for graduates who enjoy writing code, understanding how digital systems work and investigating unexpected behaviour. Our hardware verification team helps find design problems before they reach silicon. We work on neural accelerators for machine learning applications, combining software development with a detailed understanding of the hardware being tested. What you could be doing as a Graduate? Working with verification and design engineers across our international design centres, the role involves turning specifications into tests, developing simulation testbenches and investigating failures. We analyse coverage data to identify behaviour that still needs testing, then extend and refine our tests to explore it. We also build tools and automation to improve our verification flows. Learning new techniques, trying out ideas and sharing what works are part of how we develop both our hardware and our ways of working. We are looking for individuals who: Applicants should hold, or be on track to hold, a university degree in Electrical Engineering, Computer Science or a related field by the programme start date. Enjoy programming and writing clear, reliable code. Are curious about digital hardware and keen to learn how to verify it. Enjoy investigating problems and working out how complex systems behave. Can explain ideas and findings clearly, in writing and in discussions with colleagues. Qualities that will help your application stand out: Experience from coursework, university projects or personal projects in the following areas would be useful: Digital hardware and a hardware description language. Object-oriented programming and software frameworks. Computer architecture. Additional Information: We encourage early applications as we review them on a first-come, first-served basis. Please provide an academic transcript along with your application. Relocation support is available for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it. In Return: You’ll receive a starting salary of SEK 545,000 (Bachelor level) or SEK 555,000 (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?

We are seeking ambitious graduate engineers passionate about understanding and improving hardware performance and power efficiency. This role offers an outstanding opportunity to work with pioneering Arm IP technology. You will develop technology that drives the next generation of mobile devices, consumer products, and intelligent systems. Start your career working in hardware development and gain experience in Machine Learning and Artificial Intelligence—fields redefining the future of computing. What you could be doing as a Graduate? As a Graduate Hardware Power and Performance Engineer, your role will include: Collaborate with a growing, highly skilled team focusing on ML and Neural Network hardware. Work across Arm's international centers to build and analyze next-generation IP using the latest methodologies and technology. Learn to analyze and optimize the effectiveness and power consumption of complex hardware builds. Characterize workloads, investigate performance bottlenecks, understand power consumption, and examine how architectural and build choices impact power, performance, and area. Develop scripts and tools to automate analysis. Partner with engineers in design, verification, and implementation to build our hardware. Work on and shape solutions making use of your knowledge while also learning and further developing your skills. Above all, you should be curious about how hardware works and eager to learn. No prior professional experience is necessary as those are built by collaborating with experienced engineers. We are looking for individuals who: Hold (or are on track to hold) a University degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field by the programme start date. Curiosity about programming and scripting, with a desire to solve engineering problems. Analytical skills to understand complex systems. Willingness to learn new technologies, tools, and methodologies. Good written and verbal communication skills. Qualities that will help your application stand out: Understanding of digital hardware and hardware description languages, for example, SystemVerilog or VHDL. Basic understanding of computer architecture. Experience working with programming or scripting languages such as Python. Understanding of low-power build concepts. Knowledge of Physical Implementation, synthesis, Place & Route, or static timing analysis. Knowledge of Machine Learning or AI fundamentals. Knowledge/Interest in building AI workflow agents. Additional Information: We encourage early applications as we review them on a first come/first served basis. Please submit an academic transcript along with the application. Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it. In Return: You’ll receive a starting salary of SEK 545,000 (Bachelor level) or SEK 555,000 (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?

If you are passionate about graphics and technology, we have a fantastic opportunity to apply your curiosity and creativity in shaping the future of GPU testing! Our team focuses on system-level testing of the Vulkan, OpenGL ES and DirectX graphics APIs, developing and analyzing automated test solutions for real-world workloads to ensure our GPUs perform reliably and efficiently across platforms. The work involves designing and building test automation, developing automated pipelines, and working with modern tools and infrastructure. This is a unique opportunity to: Build your technical expertise in graphics and system testing. Collaborate with experienced engineers across multiple fields. Help define how Arm's GPU technology is tested and validated for millions of users around the world. What you could be doing as a Graduate? Develop run and debug automated tests for Arm's Mali GPU driver/HW. Validate graphics performance, functionality, stability, and compatibility at the system level. Support Khronos & Microsoft API certification and test a variety of real applications and games. Contribute to new test frameworks, pipelines, and analysis tools. Collaborate closely with e.g. SW/HW developers, automation engineers and performance specialists across the GPU organization. We are looking for individuals who: Hold (or are on track to hold) a Master's degree, or equivalent experience in Computer science, Electrical engineering or a related field by the programme start date Has experience of high-level programming (Python preferred) Has an analytical approach and ability to analyse logs and test results Qualities that will help your application stand out: Computer Graphics knowledge Experience with shell scripting (Bash or PowerShell preferred) Experience with Git Experience with Gitlab CI Understanding of computer architecture Additional Information: We encourage early applications as we review them on a first come/first served basis. Please provide an academic transcript as part of your application. Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it. In Return: You'll receive a starting salary of SEK 555,000 (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?

If you are passionate about graphics and technology, we have a fantastic opportunity to apply your curiosity and creativity in shaping the future of GPU testing! Our team focuses on system-level testing of the Vulkan, OpenGL ES and DirectX graphics APIs, developing and analyzing automated test solutions for real-world workloads to ensure our GPUs perform reliably and efficiently across platforms. The work involves designing and building test automation, developing automated pipelines, and working with modern tools and infrastructure. This is a unique opportunity to: Build your technical expertise in graphics and system testing. Collaborate with experienced engineers across multiple fields. Help define how Arm’s GPU technology is tested and validated for millions of users around the world. What you could be doing as a Graduate? Develop run and debug automated tests for Arm’s Mali GPU driver/HW. Validate graphics performance, functionality, stability, and compatibility at the system level. Support Khronos & Microsoft API certification and test a variety of real applications and games. Contribute to new test frameworks, pipelines, and analysis tools. Collaborate closely with e.g. SW/HW developers, automation engineers and performance specialists across the GPU organization. We are looking for individuals who: Hold (or are on track to hold) a Master’s degree, or equivalent experience in Computer science, Electrical engineering or a related field by the programme start date Has experience of high-level programming (Python preferred) Has an analytical approach and ability to analyse logs and test results Qualities that will help your application stand out: Computer Graphics knowledge Experience with shell scripting (Bash or PowerShell preferred) Experience with Git Experience with Gitlab CI Understanding of computer architecture Additional Information: We encourage early applications as we review them on a first come/first served basis. Please provide an academic transcript as part of your application. Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it. In Return: You’ll receive a starting salary of SEK 555,000 (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?

The mission of the Central Technology Machine Learning (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of AI computing on Arm architecture. We believe that innovative AI technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on finding the best way to balance among all these constraints. The CTML Content and Algorithm team plays a key role within the Centre of Excellence for Machine Learning. We actively support this joint development initiative, conducting in-depth analyses of complex AI models on Arm computing platforms and devising algorithms that will make AI run better on Arm. What you could be doing as a Graduate? Develop in depth understanding of current and future ML/AI workload on Arm compute platforms with a focus on their PPA (performance, power, and area). Understand and follow the latest technology trends in ML/AI, collecting and analysing these use cases to drive the direction of ML/AI workload support in all phases of Arm IP development. Develop hardware aware optimization algorithm that can make state-of-the AI models run on Arm platforms including CPU/GPU/NPUs. Develop internal tooling capabilities to support algorithmic and architecture exploration. We are looking for individuals who: Hold (or are on track to hold by the programme start date) a Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields. Developing and working with software systems in programming languages like Python, good knowledge of Hardware and Software design. Experience in training and deploying ML/AI models using deep learning libraries such as Pytorch or Tensorflow. Strong technical communication skills. Qualities that will help your application stand out: Demonstrated ML/AI projects experience in industry or academia. Experience with optimizing compute kernels (e.g. CUDA, Triton). Hardware-aware performance optimization of ML/AI models. Passion and adaptability to the fast-moving AI industry and willing to learn new technology in a very dynamic environment. Good knowledge of the whole machine learning stack from model to hardware implementation Additional Information: We encourage early applications as we review them on a first come/first served basis. Please provide an academic transcript as part of your application. Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it. In Return: You’ll receive a starting salary of SEK 555,000 (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?

We have a fantastic opportunity to move into Machine Learning and Artificial Intelligence; key technologies for the future of computing. Arm is everywhere technology matters. Are you thrilled by this? We'd love to hear from you. We need hardworking and motivated people to join our team. Working with the world's best companies as they build sector-leading products from our designs. You'll share ideas with and learn new skills from the best engineers in the world. We work in small teams, so your contributions will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI! What you could be doing as a Graduate? You will work/develop/design/architect new features and evaluate their performance. The features are mainly in the field of ML compilation, ML framework integration, runtimes and drivers, performance analysis, embedded software or test automation. You will collaborate closely with ML software and hardware engineers to understand how models execute and where performance and efficiency can be improved. We are looking for someone who has strong analytical skills, is eager to find innovative solutions to sophisticated problems, and is comfortable working in a fast-paced and dynamic environment. You have excellent interpersonal skills and enjoy cooperating closely in diverse teams, striving together to fulfil common goals. We are looking for individuals who: Hold (or are on track to hold) a Master's or PhD degree in Machine learning, Electrical Engineering, Engineering Physics, Computer Science, or similar technical field by the programme start date. Good programming skills (C, C++, Python) Qualities that will help your application stand out: Source control skills (Git, Gerrit, Repo) Worked and developed using methods like agile Software development, continuous integration and Test driven development. Experience with Machine Learning applications, frameworks and compilers Open Source software development Awareness of hardware architecture principles Additional Information: We encourage early applications as we review them on a first come/first served basis. Please provide an academic transcript as part of your application. Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it. In Return: You'll receive a starting salary of SEK 555,000 (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?

We have a fantastic opportunity to move into Machine Learning and Artificial Intelligence; key technologies for the future of computing. Arm is everywhere technology matters. Are you thrilled by this? We'd love to hear from you. We need hardworking and motivated people to join our team. Working with the world's best companies as they build sector-leading products from our designs. You'll share ideas with and learn new skills from the best engineers in the world. We work in small teams, so your contributions will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI! What you could be doing as a Graduate? You will work/develop/design/architect new features and evaluate their performance. The features are mainly in the field of ML compilation, ML framework integration, runtimes and drivers, performance analysis, embedded software or test automation. You will collaborate closely with ML software and hardware engineers to understand how models execute and where performance and efficiency can be improved. We are looking for someone who has strong analytical skills, is eager to find innovative solutions to sophisticated problems, and is comfortable working in a fast-paced and dynamic environment. You have excellent interpersonal skills and enjoy cooperating closely in diverse teams, striving together to fulfil common goals. We are looking for individuals who: Hold (or are on track to hold) a Master's or PhD degree in Machine learning, Electrical Engineering, Engineering Physics, Computer Science, or similar technical field by the programme start date. Good programming skills (C, C++, Python) Qualities that will help your application stand out: Source control skills (Git, Gerrit, Repo) Worked and developed using methods like agile Software development, continuous integration and Test driven development. Experience with Machine Learning applications, frameworks and compilers Open Source software development Awareness of hardware architecture principles Additional Information: We encourage early applications as we review them on a first come/first served basis. Please provide an academic transcript as part of your application. Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it. In Return: You'll receive a starting salary of SEK 555,000 (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?