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ML Hardware Engineering Internship, Interns/Students, Lund, Sweden, Lund, Sweden, Machine Learning

An internship with Arm gives you exposure to real work and insight into the Arm innovations that shape extraordinary. Students who thrive at Arm take their love of learning beyond their experience of formal education and develop new ideas. This is the energy that interests us.

Internships at Arm will give you the opportunity to put theory into practice through exciting, intellectually challenging, real-world projects that enrich your personal and technical development while enhancing your future career opportunities.

This internship position is within Machine Learning Group in Arm which works on key technologies for the future of computing. Working on the cutting edge of Arm IP, this Group creates technology that powers the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more.

When applying, please make sure to include your most up to date academic transcript.

For a sneak peek what it’s like to work in Arm Lund, please have a look at the following video: http://bit.ly/2kxWMXp

The Role

You will work alongside experienced engineers within one of the IP development teams in Arm and be given real project tasks and will be supported by experienced engineers. Examples of previous project tasks are:

  • Developing and trialing new processes for use by the design/verification teams.
  • Investigating alternative options for existing design or verification implementations.
  • Help to develop a hardware platform that can guide out customers to the best solution.
  • Implement complex logic using Verilog to bridge a gap in a system.
  • Develop bare metal software to exercise design functionality.
  • Verify a complex design, from unit to full SoC level.
  • Help to take a platform to silicon.

 




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Machine Learning, Graduates, Cambridge, UK, Software Engineering

Arm's Machine Learning Group is seeking for a highly motivated and creative Graduate Software Engineer to join the Cambridge-based applied ML team.

From research, to proof-of-concept development, to deployment on ARM IPs, joining this team, would be a phenomenal opportunity to contribute to the full life-cycle of machine learning projects and understand how state-of-the-art machine learning is used to solve real word problems.

Working closely with field experts in a truly multi-discipline environment, you will have the chance to explore existing or build new machine learning techniques, while helping unpick the complex world of use-cases that are applied on high end mobile phones, TVs, and laptops.

About the role

Your role would be to understand, develope and implement these use case, collaborating with Arm's system architects, and working with our marketing groups to ensure multiple Arm products are molded to work well for machine learning. Also, experience deploying inference in a mobile or embedded environment would be ideal. Knowledge of the theory and concepts involved in ML is also needed, so fair comparisons of different approaches can be made.

As an in depth technical role, you will need to understand the complex applications you analyse in detail and communicate them in their simplest form to help include them in product designs, where you will be able to influence both IP and system architecture.




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Lead GPU Architect, Experienced Professionals, Austin (TX), USA, Austin (TX), USA, Hardware Engineering

About the role

The Central Technology Team within Arm develops key technologies which will form the foundation of future products.
You will join a multinational, dynamic, collaborative and highly motivated Graphics team in Central Technology to help craft the direction of our world leading Mali™ Graphics products. The Mali™ Graphics Processor is the #1 shipping GPU.

You will need to have architecture and hardware/software development skills, in addition to being able to think creatively. In this role you can expect to be a technical lead where your ideas will make a difference and enable you to make your mark delivering industry leading GPU IP.

Your job responsibilities will be diverse and may include architecture, technology research, hands-on prototyping and experimental investigations, participating in key industry consortium's, engaging with product groups, working closely together with the engineering team, and taking part in partner and customer engagements.

Together with our world-leading architects you will:

  • Design and develop the Mali™ graphics architecture for the latest graphics APIs, providing new technologies for products in new and existing markets.
  • Perform high level performance modelling and analysis of graphics hardware features, applications, benchmarks and games.
  • Develop and improve tools for architectural exploration and performance analysis.
  • Understand and analyse system level architectural trade-offs (including hardware, memory systems and system s/w).
  • Collaborate with the Arm engineering team to see your ideas delivered into products.




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Intern, Research - Machine Learning, Interns/Students, Austin (TX), USA, Research

Arm is the industry's leading supplier of microprocessor technology providing efficient, low-power chip intelligence making electronic innovations come to life.  Through our partners, our designs power everything from coffee machines to the fastest supercomputer in the world. Do you want to work on technology that enriches the lives of over 70% of the world’s population?   Our internship program is now open for applications! We want to hear from curious and enthusiastic candidates interested in working with us on the future generations of compute. 

About Arm and Arm Research 

Arm plays a key role in our increasingly connected world. Every year, more than 10 billion products featuring Arm technology are shipped.  Our engineers design and develop CPUs, graphics processors, neural net accelerators, complex system technologies, supporting software development tools, and physical libraries. 

At Arm Research, we develop new technology that can grow into new business opportunities. We keep Arm up to speed with recent technological developments by pursuing blue-sky research programs, collaborating with academia, and integrating emerging technologies into the wider Arm ecosystem.  Our research activities cover a wide range of fields from mobile and personal computing to server, cloud, and HPC computing. Our work and our researchers span a diverse range from circuits to theoretical computer science. We all share a passion for learning and creating.  

About our Machine Learning group and our work 

Arm’s Machine Learning Research Lab delivers underlying ML technology that enables current and emerging applications across the full ML landscape, from data centers to IoT. Our research provides the building blocks to deliver industry-leading hardware and software solutions to Arm’s partners.  

Our ML teams in Austin and Boston focus on algorithmic and hardware/software co-design to provide top model accuracy while optimizing for constrained environments. This includes defining the architecture and training of our own DNN and non-DNN custom machine learning models, optimizing and creating tools to improve existing state-of-the-art models, exploring techniques for compressing models, transforming data for efficient computation, and enabling new inference capabilities at the edge. Our deliverables include: models, algorithms for compression, library optimizations based on computational analysis, network architecture search (NAS) tools, benchmarking and performance analysis, and ideas for instruction set architecture (ISA) and accelerator architectures. 

We are looking for interns to work with us in key application areas like applied machine learning for semi-conductor design and verification, autonomous driving (ADAS), computer vision (CV), object detection and tracking, motion planning, and simultaneous localization and mapping (SLAM). As a team we are very interested in researching and developing ML techniques that translate into real products and applications; our interns will help us determine which aspects of fundamental ML technology will be meaningful to next generation applications.  

It would be an advantage if you have experience or knowledge in any or some of the following areas:  

  • Foundational Machine Learning technology including algorithms, models, training, and optimisation 

  • Concepts like CNN, RNN, Self-supervised Learning, Federated Learning, Bayesian inference, etc. 

  • ML frameworks (TensorFlow, PyTorch, GPflow, PyroScikit-learn, etc.) and strong programming skills  

  • CPU, GPU, and NN accelerator micro-architecture 

 




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HW/SW Part-Time Undergraduate, Part-time Undergraduate, Cambridge, UK, Software Engineering

Introduction 

Arm is the world's leading semiconductor intellectual property (IP) supplier and as such is at the heart of the development of digital electronic products. Arm’s ecosystem includes many of the biggest names in consumer electronics and semiconductor manufacturing.  

What are we searching for? 

We are seeking an outstanding, highly motivated intern to join one of our hardware and software related teams. You will possibly work within the  

  • Central Engineering Methodology team, to creatively improve processes that drive efficient CPU development.  
  • Central Technology Solutions Functional Safety team to use a wide variety of techniques to analyse and verify newly developed solutions 

  • Automotive and IoT Functional Safety team to develop and improve processes to derive development of safe products and solutions.    

What could I be contributing to? 

Central Engineering Methodology group you will be working closely with design teams to resolve issues and automate processes that help standardize the way we develop and deliver CPU products to our internal and external customers.  Your work will focus on impacting the verification effectiveness and efficiencies of the design teams.  

Central Technology Solutions team, you will join a growing and highly motivated team responsible to develop Functionally Safe architectures for state of the art projects within autonomous drive systems, digital cockpit and robotics.  

Automotive and IoT teamyou will be working with a fast growing and strong team to resolve issues, automate processes and define management systems to help standardize the way we develop and deliver our Automotive & IoT products to achieve the toughest certification requirements in functional safety.  

 




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Graduate Software Developer, Graduates, Cambridge, UK, Applications Engineering

The SPE (Sales and Partner Enablement) Infrastructure team at Arm is looking for a hardworking and enthusiastic graduate to join our team based in Cambridge with an ambition to become a crucial member of the team.

We combine people, technology and domain specific knowledge to craft tools, services and infrastructure for Arm workforce that improve their productivity. It can be challenging at times, but there are many opportunities for people who take pride in, and enjoy developing these services and systems to make a real difference. 

You will join our established team in working closely with the Sales, Technical Communications and the Arm customer support team to provide them with the tools they need to ensure the success of Arm's partners.

The Role

You will have a chance to work across a range of systems, services and tools, focusing on developing, maintaining, and running the continuous integration and testing infrastructure of our tools. This will include bespoke and third-party solutions. You will be adept at scripting, designing automated tests, and have a track record of picking up and working with different technologies, for example:

  • XML, DITA CMS
  • XSLT
  • XPath
  • JSON, YAML, Markdown
  • Java
  • The Document Object Model
  • Systems integration using REST APIs
  • Jenkins
  • Azure Cloud

Key Accountabilities/Responsibilities

As a key member of a small team of engineers, you will engage with team leadership, project management, and other teams in Arm to deliver high-impact improvements and new functionality to our existing tools and code infrastructure. We use CI / CD pipelines to accommodate auto-generated documentation and varied working practises of our documentation teams across Arm, as well as more traditional CMS offerings. Your primary focus will be on the continuous integration and testing infrastructure, but you will contribute to all aspects of software development within the team; you will get involved in developing / supporting the tools used by the Sales and Application Engineering teams, Linux system administration and technical consulting with other teams in Arm to support requirement and solution definition.




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Graduate Platforms Hardware Engineer, Graduates, Cambridge, UK, Software Engineering

About the role

We are looking for enthusiastic Graduate Electronics or Embedded System Engineer to join Arm’s Hardware Platform team, who are working at the forefront of embedded design based around Arm IP products. We are responsible for

  • Designing and releasing the latest Arm IP technologies in FPGA image, enabling pre-silicon software and ecosystem development, reducing time to market.
  • Creating physical hardware development platforms, based around Arm’s custom system-on-chip (SoC) and FPGAs for software development and validation activities for both our external partners/customers and our internal development teams.

If you’re interested in:

  • The potential to work on all aspects of product development, from specification to customer release.
  • Eager to learn, a willingness to work across disciplines.
  • The challenges of bringing up a new development board.
  •  

Creating and validating Verilog RTL design in FPGA.

  • Gaining a deeper understanding of system architecture and performance.
  • Working alongside many other teams including system architects, CPU / System IP designers, physical chip layout / packaging engineers.
  • Interaction with Arm’s partners and customers both through the support organisation and directly.

Then we have a role for you!

What will I be accountable for?

As a Graduate, you will be placed in a development team at Arm’s offices in Cambridge, UK where you will have a mentor, and be able to get to grips with the problems ranging across many hardware and software areas.  You will be working across all aspects of the product lifecycle whilst being supported by and learning from the rest of the team.




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Graduate Physical Implementation Engineer, Graduates, Cambridge, UK, Hardware Engineering

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Are you passionate about setting new standards in physical implementation? Are you interested in working for one of the most successful IP design companies in the world? Do you want to take part in designing the next groundbreaking GPU?

This is a rare opportunity for you to become a part of the Arm GPU group. The GPU group is at the forefront of advanced GPU IP products for the consumer, wireless and automotive infotainment markets. You will join an international team of hardworking engineers working together to remain on the state of the art of IP and SoC development techniques. This successful team has been central to the development of recent graphics processors.

In this role your directive will be to influence RTL development whilst innovating, crafting and deploying the latest implementation techniques on live projects. You will provide the quality support that our customers desire and collaborate with them to develop the best products that help influence the world, and you will have the opportunity to drive EDA vendors on leading-edge processes (eg. 7nm FinFET) whilst pushing the boundaries of power efficiency and influencing physical library development.

A wide range of learning opportunities and challenges will be available. You will also be given the opportunity, if desired, to travel and work with our other teams.

Location

This opportunity is based in Cambridge (UK)

 




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Graduate Image Processing R & D Engineer, Graduates, Manchester, UK, Research

About the Role
As an Imaging R&D Graduate, you will be joining the ISP team within Arm, which develops and designs image processing technology that is used in a range of applications including automobiles, security cameras, and drones. The algorithm development team is tasked with solving a variety of image processing problems, from denoise to demosaic, auto-exposure to motion compensation. Our algorithms must satisfy the competing demands of high image quality, and efficient, low-power hardware implementation.

This is an opportunity to contribute towards the next generation of imaging systems, for both human viewing and autonomous driving applications.

Why should you apply?

  • You want to work in leading digital imaging technology.
  • You have a keen interest in imaging or image processing, which you would like to develop into a career.
  • You want to see tangible results from your work.
  • You want to have the opportunity to learn from the best engineers and start a career in a leading imaging and vision technology group.

What will I be accountable for?

  • Working with image quality experts to determine requirements for processing.
  • Developing new image processing algorithms, often from early concept phase and typically in a mathematical modelling environment.
  • Implementing novel algorithms, starting from a floating-point model
  • Testing and benchmarking of the results, working closely with our image quality experts.
  • Collaborating with the wider engineering team to arrive at an architecture and fixed-point model of your algorithm, optimized for hardware or software implementation




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Graduate Engineer – CPU Physical Implementation, Graduates, Cambridge, UK, Hardware Engineering

Job Description

Are you passionate about setting new standards in physical implementation? This is a rare opportunity to become a part of the Cambridge CPU implementation team. The CPU group defines, designs and validates Arm's processor IP - the brains inside billions of electronic devices.

As a physical implementation engineer, you will join the successful team that has enabled huge volumes of next-generation high-efficiency processors, including the hugely successful Cortex-A53, the most recent Cortex-A55 through to the smallest and most energy efficient Cortex-M0+ processors.

In this role your mandate will be to influence RTL development whilst innovating, crafting and deploying the latest implementation techniques - from RTL, thorough place and route to STA - on live projects. You will provide the quality support that our customers desire and collaborate with them to develop the best products that help influence the world, and you will have the opportunity to drive EDA vendors on leading-edge processes (eg. 7nm FinFET) whilst pushing the boundaries of power efficiency and influencing physical library development.

What things will you be responsible for

Our team is tightly integrated with the RTL design teams and this gives you an unrivalled opportunity to improve your knowledge of CPU microarchitecture. Your wide-ranging set of responsibilities will include:

  • The physical implementation of Arm processors using the entire implementation flow from RTL through Place and Route to STA
  • Investigating the trade-offs involved in CPU design
  • Tackling complex challenges like low power and methodologies for improving the efficiency of implementation
  • To understand, plan and address the life-cycle phases of engineering projects
  • Working with the sales and marketing teams to support the launch of new cores
  • Supporting our customers and enabling them to be successful in the world
  • Collaborating with EDA vendors to extend the best in class results from our processors whilst focussing on the ideal user experience




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Graduate Embedded Platforms Software Engineer, Graduates, Cambridge, UK, Software Engineering

About the role

We are looking for enthusiastic Graduate Electronics or Embedded System Engineer to join Arm’s Hardware Platform team, who are working at the forefront in the following embedded areas:

  • Development and validation of physical hardware platforms, based around Arm’s custom system-on-chip (SoC) and FPGAs.
  • Creating software to test Arm systems both in simulation and in hardware (FPGA & Silicon)
  • Porting existing simulation/emulation RTL validation software to real hardware
  • Create and maintain Build environments & Automation tooling to ensure we supply high quality products
  • Software design and implementation of reference firmware for Arm processors and systems – for example working on the software to enable our cutting-edge CoreLink secure subsystems
  • Software stack development to enable Arm IP. This includes implementing HALs, drivers, connectivity, security, power and control components
  • Board support firmware using STM32 and LPC11 microcontrollers
  • Operating system development (Linux, mbedOS, FreeRTOS, etc)
  • Development of reference software and demos for Arm Partners to use and replicate in their own products.
  • Support and maintenance

If you’re interested in:

  • The potential to work on all aspects of product development, from specification to customer release.
  • Eager to learn, willing to give anything a go.
  • The challenges of bringing up a new development board.
  • How to build, test and debug full software stacks on hardware that hasn’t yet been manufactured
  • Gaining a deeper understanding of system architecture and performance
  • Working alongside system hardware designers to develop the best platforms to support Arm’s partners

Then we have a role for you!

What will I be accountable for?

As a Graduate, you will be placed in a development team at Arm’s offices in Cambridge, UK where you will have a mentor, and be able to get to grips with the problems ranging across many software areas.  You will be working across all aspects of the software lifecycle whilst being supported by and learning from the rest of the team.  You will also be offered the opportunity to explore other teams within Arm during your first 12 months with us, as part of our Graduate Rotation programme.

Whilst a lot of our work does involve Open Source software, many tasks require working with development platforms, or simulated hardware environments where features are being developed and tested before the physical devices have been built, so the problems you will be expected to understand and solve are ones that are yet unknown to the general community.




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Graduate Deployment Engineer, Graduates, Cambridge, UK, Software Engineering

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

The Productivity Engineering group (PE) at ARM is responsible for ensuring our engineering teams have the tools and computational resources to succeed. PE is responsible for a range of best in class infrastructure elements for ensuring our designs meet our partners' needs, from maintaining ARM's compute cluster to deploying new design and verification methodologies.

Within PE, the Deployment Team is responsible for enabling all engineering teams with new capability improvements required to achieve the organizational change initiatives.

• Journey to Cloud – moving engineering workflows to cloud and onto Arm architecture hardware
• Machine Learning / Data Science to maximize verification compute efficiency
• Continuous Delivery for Hardware Engineering efficiency
• Machine Readable Specifications for Hardware Engineering efficiency

As a member of the centralized Deployment Team, you will develop expertise with the mechanics such that through a partnership with project teams you can deploy a turn key solution. The Deployment Team members need to be both capable engineers and good at working in partnership with other ARM engineering teams.

The activities for this role demand an enthusiastic candidate from either Computer Science or Electrical/Electronics Engineering background with a strong desire to constantly evolve a cross-disciplinary skill set, in particular:
• Design and development of workflow scripts, with result capture and visualization tools
• Collaboration with RTL design and verification engineers to create new point techniques
• Develop automation and flow abstraction methods to enable project team to focus on the application of new capabilities rather than the mechanics.

As a member of a small and dynamic team, you will be working alongside engineers at all our design centers and contributing to the CPU, GPU and interconnect IP at the heart of ARM's success.




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Graduate Concurrency Architecture Verification Engineer, Graduates, Cambridge, UK, Software Engineering

Concurrency architecture verification engineer

Are you interested in concurrency, CPU design, and verification? Then we have just the opportunity for you.

Arm uses innovative tools [1] for modelling and reasoning about concurrency in our products. 

Those tools serve different purposes, such as: clarifying our architecture specification [2], communicating with our partners, and enabling verification of our CPU hardware designs.

This last point is at the intersection of architectural specification and CPU hardware design, which is where your role would be.

We seek to encourage interaction between those activities within Arm and beyond: by working hand in hand with architects and CPU verification teams to understand their requirements, you will improve our methodology and tools. You will also be in charge of inventing and prototyping new ways to verify pre-silicon designs.

This is an outstanding opportunity if you are interested in:

  • developing open-source tools [3] which benefit the Arm ecosystem and wider communities such as language standard committees, compiler and kernel developers;
  • furthering the understanding of an area that has been the subject of intense research in the last decade;
  • demonstrating the impact of formal models on industrial products.

Our tools are written in Ocaml and C; knowing those languages would be ideal, as well as a working knowledge of Linux, git and RTL.

See also:

[1] https://developer.arm.com/architectures/cpu-architecture/a-profile/memory-model-tool

[2] https://developer.arm.com/docs/ddi0487/latest/arm-architecture-reference-manual-armv8-for-armv8-a-architecture-profile

[3] http://diy.inria.fr

[4] https://github.com/herd/herdtools7/




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Director, Executive Communications, Experienced Professionals, San Jose (CA), USA, Marketing & Communications

About the Role
We are looking for a passionate story teller. A person who combines an astute business mind with a knowledge and thirst to know more about how technology is shaping our connected world. You will need to engage with our C-suite audience, win their confidence and help shape individual narratives. You must also be a real team-player and confident networker able to build up a bank of ideas from talking to our many world class experts. Whether that is our R&D team looking at shrinking microprocessor technologies or our 5G experts thinking about network transformation.

You should not be constrained by the story-telling form. You may be producing an onstage presentation to 1,000 engineers, or a speech to an audience who only want to know what technology can do for them and not how it works. You may be working with one of our executives to write a monthly blog on industry trends or working with our creative team on a film script. We need someone who is as passionate about the future of technology as we are. Someone who enjoys an intellectual or philosophical discussion but who has narrative ability to sift the soil to find the gold and apply laser focus to get the job done on time, and at the highest quality. Arm is an architect of technologies and markets. We want an architect of our executive story.

What will I be accountable for?

  • Shape the narrative of the C-suite and key business leaders
  • Support and lead content/presentation creation for key Arm and industry conferences, bylined pieces
  • Work with the content marketing, PR, creative, campaign and digital marketing teams to produce narratives that work on multiple story-telling levels and captivate our audiences
  • Research audiences, event agenda, and topics; map the appropriate messages and Arm executive speakers to the opportunities; ensure end- to-end smooth delivery
  • Develop powerful and visually-compelling C-suite keynote presentations, articles and other vehicles that tell our business story
  • Debrief executive and business leads following each presentation to achieve continuous improvement.




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CPU Performance –Sr Principal Modeling Architect, Experienced Professionals, Austin (TX), USA, Hardware Engineering

About this role

If you are a technical lead with engineering expertise in CPU microarchitecture, performance-model development, performance analysis, or workload analysis, we would like to talk with you about joining Arm’s highly successful CPU performance architecture team based in Austin.  Our team plays a major role in crafting our next-generation Cortex-A class CPU designs and in enabling Arm partners to use our designs in world-class products. As a senior member of this expert team, you will own substantial and challenging performance projects

What types of projects will you accomplish?
  • Collaborate with other members of the design team - primarily in Austin - to help design our next-generation CPU microarchitecture
  • Lend your expertise across all Performance sub-disciplines: microarchitecture and performance model development, microarchitectural performance analysis, RTL/performance-model correlation, workload analysis, and workload development
  • Engage with key partners at an engineering level to understand their future performance requirements, performance sensitivities, and workload expectations
  • Help develop the team and be a mentor to engineers
  • Interact with customers and other third parties to successfully communicate complex technical ideas, and participate in internal and customer meetings




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CPU Performance Architect, Experienced Professionals, Austin (TX), USA, Hardware Engineering

Arm is the industry's leading supplier of microprocessor technology, offering the widest range of microprocessor cores to address the performance, power and cost requirements for almost all application markets. Combining a vibrant ecosystem with more than 1,000 partners delivering silicon, development tools and software, and over 90 billion processors shipped, our technology is at the heart of a computing and connectivity revolution that is transforming the way people live and businesses operate.

In the role you are a part of the Austin-based CPU performance architecture team, which is part of Arm's worldwide CPU development group. This diverse engineering-centric team defines, designs, and validates Arm processor IP. Arm-based processors are the brains in billions of diverse electronic devices and we collaborate with the world's leading technology companies.

As an authority —think Senior/Staff/Principal type engineer-- on our team of about a dozen senior engineers, you tackle next-generation Arm Cortex-A class CPU microarchitecture design and performance analysis. You will be a part of a growing organization with a validated business model and a strong plan for continued future growth. Your team focuses on engineering using the latest tools and methodologies with an eye for innovation and creative problem solving.




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2021 Graduate Software Engineer, Graduates, Cambridge, UK, Software Engineering

Arm has a range of vacancies for enthusiastic graduates with a passion for embedded software development, Open Source software and CPU Architecture. If you have a software background and a willingness to learn, you will be considered for work in one of these areas:

  • Software design and implementation of features for our reference Mali Graphics processors (enabling our next generation Mali mobile IPs for APIs such as GLES, Vulkan, OpenCL, EGL) on Android
  • Compiler development using LLVM for GPGPU kernels
  • Compiler development including open source compilation technology for e.g. Apache TVM targeting Arm's CPUs, GPUs and NPUs.
  • Improvements and performance optimisations for Arm Compute Library and ArmNN.
  • Model Conditioning and sophisticated machine language framework optimisations in frameworks like Tensorflow and Pytorch.
  • Performance analysis of NPUs, GPUs or CPUs
  • Arm Secure Firmware development
  • Software stack development to enable Arm IP.
  • Operating system development (Linux, Zephyr, FreeRTOS, mbedOS, etc)
  • Verification of Arm CPUs using full-stack operating system software
  • Development of Software Tools for CPU Verification using Random Instruction Generation
  • Software optimisation (JIT compilers, Android, ChromeOS, …)
  • Build environments & Automation tooling

If you have an interest in CPU, GPU or NPU architecture and you are passionate about software, whether it’s kernel, driver, application or tools development; If you’d like to know more about how hardware and software interact, then this is an outstanding opportunity for you!

What will I be accountable for?

As a Graduate, you will be placed in a development team at Arm’s offices in Cambridge, UK where you will have a dedicated mentor, and be able to get to grips with the problems ranging across many software areas. You will work across all aspects of the software lifecycle whilst being supported by and learning from the rest of the team.

Whilst a lot of our work does involve Open Source software, many tasks require working with development platforms, or simulated hardware environments where features are being developed and tested before the physical devices have been built, so the problems you will be encouraged to understand and pursue are ones that are yet unknown to the general community.




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2021 Graduate Modelling Engineer - Cambridge, Graduates, Cambridge, UK, Cambridge, UK, Software Engineering

We have an exciting opportunity for a graduate developer in the GPU modelling team, based in Cambridge. We work with software models which are state-of-the-art representations of our products. They are used by several teams within the company and are delivered externally to some of our partners.

We develop in C++ in a UNIX environment. Working in the GPU modelling team, your role will primarily be to model the functional and performance aspects of our GPUs. You will be working with dedicated and talented people across the globe as part of our multi-site development projects. Your work will have a large impact on the design and quality of our GPUs and ultimately on the success of Arm.

If you would like to shape the future of energy-efficient devices, this is the place to be!

 
 




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2020 Graduate in CPU Benchmarks, Graduates, Cambridge, UK, Hardware Engineering

If you consider yourself creative, innovative, a problem solver and you would like to influence and contribute to defining the next-generation CPUs that will be used in billions of devices worldwide, you will enjoy working and developing your professional career with us.

We are looking for graduate engineers who are passionate about understanding the workloads of the future to join our CPU benchmarking team.

Our benchmarking team is in charge of interacting with product managers, partners, CPU leads and performance modelling leads to understand the most relevant applications industry will use in the future and help to characterise and reproduce them on cutting-edge environments ranging from simulation to emulation or FPGA. The team is also responsible for investigating novel techniques to facilitate the utilisation of benchmarks that are relentlessly growing in complexity and make them suitable for the exploration of next generation CPU cores and systems.

As part of the CPU team, we will collaborate to innovate and find engineering solutions to the challenges of tomorrow in areas like IoT, automotive, servers or mobile; we will make devices smarter and more useful to society. Your contributions will help to build new technology that will influence the lives of billions of people!

Graduate on CPU Benchmark Role at Arm

We have exciting opportunities in the CPU group, where you will be part of a highly motivated team that helps define new generations of mainstream processors.

You will have real responsibilities from day one and you will get support and mentorship from specialists that will help you succeed and develop your career. Through teamwork, training, and dedication to personal development, we ensure that every graduate matures to become a specialist in the field.

You will work in a multi-site, multi-cultural environment and will have the opportunity to work on different projects.

What will your role be?

  • You will contribute to the definition of the next generation of Arm’s IP products, identifying and enabling new benchmarks, and proposing new insights on methodologies that could improve current practice in benchmark characterisation and simulation.
  • Together with marketing, technical leads, modelling leads and partners we will align on applications that will represent market requirements for future products.
  • You will propose, develop and maintain innovative ways of making relevant applications and benchmarks suitable for sophisticated simulation platforms.
  • You will collaborate with technical leads, performance modelling engineers and designers while doing performance analysis on existing and future designs.
  • Explore new methodologies and novel software techniques that will improve modelling efficiency.




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2020 Graduate Embedded Engineer for STL, Graduates, Cambridge, UK, Hardware Engineering

Are you creative, innovative, and passionate about new technologies?

Would you like to help us continue deploying billions of successful devices around the world, many of them enabling safety critical environments such as automotive or robotics?

We are looking for outstanding graduates to be part of our STL (Software Test Library) development team within our CPU group in Cambridge, UK. As part of your responsibilities, you will develop safety-critical software (often written in assembly and C) tightly couple with the internals of CPU design. You will also identify and build creative hardware features inside the CPU that improve the effectiveness of our solutions for segments where safety is of paramount importance without negatively affecting the power, performance and/or area of the core.

STLs execute opportunistically when the hardware is not fully utilized and perform continuous in-depth hardware diagnostics while the system is in operation. It identifies and notifies about functional misbehaviors derived from permanent faults triggered by natural hardware wear-out, or other uncontrollable factors before they may translate into catastrophic system failures with undesirable and even dangerous consequences.

If you are passionate about understanding the interaction between hardware and software, have used some HDL language (Verilog or VHDL) and can program on assembly and/or C, this could be an excellent opportunity to start your career with an exciting challenge. We work on a multi-cultural and multi-disciplinary environment that will motivate you to further improve your skills and also contribute and get deep knowledge on Arm CPU designs and development processes. Engineers with large experience in the field will coach you and help you navigate and learn the complexities of the CPU internals and the mechanisms to meet expectations on safety from emerging markets.

STL is a fundamental piece of the development strategy for sectors with strong safety requirements like automotive, health or robotics. Working with us, you are going to deeply influence and interact on the development of successful solutions for this sectors in conjunction with our multidisciplinary team.

We are an equal opportunity employer with an open culture and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Role Responsibilities

We have exciting opportunities in the CPU group for graduates, where you will become part of a highly motivated team that develops the STLs for Arm CPUs.

You will have real responsibilities from day one and you will get support and guidance from experts that will help you succeed and develop your career. Through teamwork, training, and dedication to personal development, we ensure that every graduate matures to become an expert in the field.

You will work in a multi-site, multi-cultural environment and will have the opportunity to work on different projects.

As a member of the team we will share the following responsibilities:

  • We will define the STL design specifications, verification plan and the safety documents as per ISO26262 and IEC61508.
  • We will build diagnostic software to target CPU sub-units like ALU, pre-fetchers, branch predictors, cache controllers, memory systems, etc.
  • We will envision hardware design features aiming to improve STL effectiveness on ongoing and future CPU developments. We will also get along with the rest of the designers to implement them with minimum impact on area, performance and power.
  • We will prove that the software as well as the STL-specific hardware features meet the specifications and work properly on different CPU configurations.
  • We will generate the safety analysis of the STLs.

















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F5: Tyler Deeb’s Appreciation for Tetris, NYC, Soup Dumplings + More

Tyler Deeb, founder of Misc. Goods Co., joins us for Friday Five to talk about how he relaxes, what city makes him feel most alive, a favorite way to hang + more!






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Freedom and voting power

Abstract This paper proposes a method of evaluating elections in terms of freedom of choice. It evaluates voting institutions in terms of their allocation of control. Formally, the paper develops the symmetric power order, a measure of voting power for multicandidate elections. The measure generalizes standard pivotality-based voting power measures for binary elections, such as […]

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Evidence-based group therapy for eating disorders.

Group Dynamics: Theory, Research, and Practice, Vol 28(3), Sep 2024, 163-177; doi:10.1037/gdn0000221 Objective: The goal was to identify evidence-based group psychotherapy for adults with anorexia nervosa (AN), bulimia nervosa (BN), and binge-eating disorder (BED). Method: We reviewed randomized controlled trials of group psychotherapy for clinical samples of adults diagnosed with AN, BN, and BED published […]

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Associations of Racial Equity Training, Policies, and Practices With Routine Supervision Strategies in Community Corrections

Criminal Justice and Behavior, Ahead of Print. Community corrections agencies across the United States are adopting racial equity as a priority in their polices, practices, and staff training, though how racial equity can be translated into the routine practices of probation and parole officers has not been widely discussed. This study examines the associations of […]

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A Comparison of Perspectives of Inmates vs. Staff in Determining Critical Content for Occupational Therapy Transitional Programming with Female Inmates

Volume 34, Issue 5, September-October 2024, Page 323-347. Read the full article ›

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Analysis of Ohio Advanced Practice Registered Nurses’ Rate of Prescribing Naltrexone for Patients With Alcohol Use Disorder Since Elimination of the X-Waiver

Journal of the American Psychiatric Nurses Association, Ahead of Print. Background:Alcohol use disorder (AUD) is common and deadly. Naltrexone is a treatment for AUD. Previous research examined factors that predict Ohio Advanced Practice Registered Nurses’ (APRNs) utilization of naltrexone to treat AUD. Inclusion criteria included APRNs’ endorsing receipt of the X-waiver, a designation indicating providers’ […]

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Estimating Test-Retest Reliability in the Presence of Self-Selection Bias and Learning/Practice Effects

Applied Psychological Measurement, Ahead of Print. Test-retest reliability is often estimated using naturally occurring data from test repeaters. In settings such as admissions testing, test takers choose if and when to retake an assessment. This self-selection can bias estimates of test-retest reliability because individuals who choose to retest are typically unrepresentative of the broader testing […]

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Disability Inclusion in Development Efforts: Analyzing the United States Agency for International Development’s Funding Solicitations for Evidence of Inclusive Practices

Journal of Disability Policy Studies, Ahead of Print. In 1997, the United States Agency for International Development established a policy focused on including people with disabilities in its development efforts. For the past two decades, this initiative has been echoed globally, yet research on its effectiveness remains limited. This study revisits a previous 2015 analysis […]

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One Size Does Not Fit All: Unraveling Item Response Process Heterogeneity Using the Mixture Dominance-Unfolding Model (MixDUM)

Organizational Research Methods, Ahead of Print. When modeling responses to items measuring non-cognitive constructs that require introspection (e.g., personality, attitude), most studies have assumed that respondents follow the same item response process—either a dominance or an unfolding one. Nevertheless, the results are not equivocal, as some preliminary evidence suggests that some people use an unfolding […]

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