Hardware

Explore the opportunities within our
hardware teams

Our Business Groups

Central Engineering (CE) – Productivity Engineering (PE)

Central Engineering (CE) – Central Processing Unit (CPU)

Central Engineering (CE) – Central Technology (CT)

Central Engineering (CE) – Systems

Sales and Partner Enablement (SAPE)

Solutions Engineering

Central Engineering (CE) - Productivity Engineering

Location: Cambridge

Core Skills

Programming and scripting (Python, SQL, Tcl, Perl)
Familiarity with digital design and EDA (Electronic Design Automation) tools
Project management tools (Agile, Jira, Confluence)

Productivity Engineering (PE) is the backbone of the Arm engineering ecosystem. We build the flows, tools, data platforms, and practices that make design teams more efficient and consistent across the company.

From automation to AI, productivity data to compliance, your work will help Arm engineers design faster, safer, and smarter. By enabling efficiency and consistency across teams, you’ll directly influence how world-class IP gets built and delivered.

About you

We’re looking for students who are curious about how large engineering organizations run and who enjoy problem-solving, analysis, and collaboration.

Helpful starting points might be:

Data analysis, statistics, or visualization
Machine learning frameworks (TensorFlow, PyTorch)
Interest in security frameworks, compliance, or governance
Communication, storytelling, or technical writing.

Most importantly, you'll bring curiosity and persistence. You’ll be supported by experienced mentors and given the chance to develop skills that span both technology and operations.

What could you be doing?

Automate workflows or create scripts to improve design productivity
Build dashboards, data platforms and run analyses to highlight bottlenecks
Prototype AI models to predict verification outcomes or improve flows
Benchmark EDA tools or research industry trends
Support program managers with reporting, budgeting and resourcing
Draft newsletters, presentations, or reports for PE-wide initiatives

Central Engineering (CE) - Productivity Engineering

Help run compliance audits or awareness campaigns
Building machine learning and applied AI skills for engineering.

Projects usually begin with small, scoped tasks but give you ownership from the start—and the opportunity to expand into bigger responsibilities as your skills grow.

Why join us?

Join the Arm Productivity Engineering team to build tools, automation, and data platforms that make global engineering more efficient, consistent, and innovative—enabling world-class IP delivery at scale.

Central Engineering (CE) - Central Processing Unit (CPU)

Location: Cambridge

Core Skills

Coursework in computer architecture or systems design
Some exposure to software-hardware co-design
Systems programming (e.g. C, C++, Rust) and scripting (e.g. Python).
Analytical and data interpretation skills

We work across the entire journey of bringing a CPU to life:

Design and verification: Imagining and realizing the logical blocks of the CPU and ensuring they work flawlessly, even under the most unpredictable workloads.
Performance exploration: Unlocking new ways to make CPUs faster and more efficient for the applications that define tomorrow.
Physical implementation: Translating design into silicon, pushing the boundaries of performance, power, and area on leading edge transistor process nodes.
Product teams: Building CPUs for a spectrum of markets: AI, infrastructure, automotive, embedded.
System validation: Proving CPUs run seamlessly with complex software stacks, from operating systems to real applications.

About you

We’re looking for students who are curious, creative, and excited by the idea of solving big problems at the smallest scales. Whether your passion is coding, analyzing data, or debugging hardware, there’s a place for you here.

Most importantly, you’ll need curiosity, persistence, and a willingness to learn. You’ll be paired with experienced mentors who will guide you as you grow. If you love understanding how computers really work, CPU Engineering is an exciting place to start your journey.

What could you be doing?

Design and verification: Digital logic projects, Verilog/VHDL, FPGA design, or building testbenches and testing parts of the CPU logic.

Central Engineering (CE) - Central Processing Unit (CPU)

Performance exploration: Running and modeling simulations to study performance, energy, or workload trade-offs. Supporting adaptations of CPU designs for infrastructure, IoT, or real-time systems. Workload and performance analysis across AI, cloud, and mobile.
Physical implementation: Circuits, synthesis, or chip layout and timing optimization.
Product teams: Embedded systems, C/C++, microcontroller projects.
System validation: Linux, debugging tools, scripting, or system-level stress-testing CPUs with full operating systems and applications.

You’ll start small, but with clear ownership. As your confidence grows, so will your responsibilities, giving you the chance to see the full arc of CPU design—from concept to working silicon.

From the phone in your pocket to the cloud powering the internet, your work will directly influence how people connect, work, and play. You’ll be part of the team that enables the AI revolution and shapes how billions of people experience technology every day.

Why join us?

At Arm, you’ll help design, verify, and optimize the next generation of processors, working at the cutting edge of computing. You’ll shape the future of technology in infrastructure, automotive, and embedded systems, building solutions that touch the lives of billions worldwide. Join us and help define what’s next.

Central Engineering (CE) - Central Technology (CT)

Location: Cambridge

Core Skills

Software and Hardware performance analysis
Understand Computer and System Architecture, and Software Stacks
scripting languages (e.g. Python) and programming language (e.g. C, C++)
Attention to detail and ability to engage with other teams

Arm’s System Performance Team in the Central Technology Group assesses and evaluates the novel technologies that are used in Arm’s industry-leading products – from data centres to IoT, by analysing their benefits to a System. Our work feeds into these technologies, in a hardware-software co-design approach. We would like a Graduate Engineer to join us in analysing and influencing the design of Arm Systems.

About you

The role involves studying, abstracting, and modelling applications and workloads, and iterating on system stack abstractions to improve product performance and efficiency. Candidates should hold or be pursuing a Bachelor’s, Master’s, or PhD in Computer Science or Engineering (or relevant experience), with skills in software and hardware performance analysis, computer architecture, scripting languages (Python, bash), and programming (C, C++), along with attention to detail and teamwork.

You’ll be supported by experienced mentors and given the chance to develop skills that span both technology and operations.

What could you be doing?

The job involves studying, understanding, abstracting, and modelling applications and workloads that run on Arm Systems, that span across different areas such as AI/ML, Computer Vision, Media, Gaming, and Productivity.

Why join us?

Hardware in CT bridges hardware design and real-world application. You will have the opportunity analyse and influence the design of Arm Systems across domains like AI/ML, Computer Vision, Media, Gaming, and Productivity.

Central Engineering (CE) - Systems

Location: Manchester, Sheffield

Core Skills

Python (programming)
Verilog/VHDL (hardware design)
Experience of modeling tools, QEMU, or FPGA boards

The Arm Systems teams focus on the infrastructure that makes modern Systems-on-Chip (SoCs) possible. We design, simulate, and validate everything that connects processors into a working system:

Automation and debugging: Creating tools and flows that make SoCs easier to configure and test.
Imaging and security: Building imaging pipelines
and trusted computing features.
IP design and implementation: Designing digital logic, memory systems, and interconnects, and taking them through to silicon.
Modelling and simulation: Using emulation and simulation to predict chip behavior before silicon is built.
Verification and validation: Ensuring Arm IP works as intended, from individual blocks to whole systems.

About you

We’re looking for students who are analytical, detail-focused, and curious about how hardware and software work together. Systems roles cover a wide range of skills, so there’s a place for you whether you enjoy coding, debugging, or building hardware models.

Helpful starting points might be:

Automation and debugging: Python scripting, robotics clubs, debug projects.
Imaging and security: Computer vision (OpenCV), embedded security coursework, security hackathons.
IP design and implementation: Digital logic coursework, Verilog/VHDL, FPGA, or SoC projects.

Most importantly, bring curiosity and persistence. You’ll be supported by experienced engineers, so you can focus on learning and developing your skills while making a real contribution.

Central Engineering (CE) - Systems

What could you be doing?

You’ll join a real project team and take on meaningful tasks such as:

Writing scripts and contributing to debug automation pipelines
Building and testing imaging or security components
Assisting with digital logic, hardware, memory systems, or interconnect features
Running performance simulations and analyzing results
Prototyping systems with modeling tools, QEMU, or FPGA boards
Developing testbenches and learning industry-standard verification methods (like UVM).

You’ll begin with supervised coding, simulation, or testbench development, but as your confidence grows you could progress to owning RTL features, validating imaging pipelines, or building full performance models.

Why join us?

Your work will help build and secure the core systems that power next-generation devices—from high-performance servers to the smallest IoT sensors.

Sales and Partner Enablement (SAPE)

Location: Cambridge

Core Skills

Curiosity, adaptability, and teamwork
Strong communication skills

The Arm Partner Enablement Group helps our customers succeed by providing timely, ground-breaking knowledge through innovative services. The team works closely with Arm engineers to support customers in developing and deploying hardware and software applications using Arm-based solutions.

Our work includes supporting IPs (CPUs, GPUs, SystemsIP), development tools, and modeling technologies, ensuring customers can confidently
build state-of-the-art devices. Partner Enablement combines technical depth with strong communication, bridging the gap between Arm engineering teams and the world’s leading semiconductor companies.

About you

We’re looking for students who enjoy combining technical skills with communication and collaboration.

Helpful starting points might be:

Strong communication and customer-facing skills, both written and spoken
Interest in working with global, distributed teams
For hardware-focused roles: interest in computer architecture, with some exposure to digital logic or RTL design
For software-focused roles: interest in software development; experience with Java, Scala, or JavaScript is particularly helpful.

What could you be doing?

Provide fast, accurate answers to customer questions about Arm IP (CPUs, SystemsIP, GPUs, tools, and architectures) developing customer-facing communication and advocacy
Create and deliver technical training material and documentation, both onsite and remotely
Problem solve in both hardware and software contexts
Assist with SoC design reviews and provide recommendations to customers
Test IP before release and provide feedback to Arm design teams
Develop tools and techniques that make it easier to support customers
Create and update knowledge-base articles and application notes
Collaborate with global, distributed product teams to influence future IP features and improve customer experiences
Learn to understand Arm architecture, IP, and tools.

You’ll start with well-scoped tasks that combine technical development with customer interaction, building both your technical and communication skills along the way.

Why join us?

You’ll directly support customers who use Arm technology, ensuring their success, improving their experiences, and influencing the future of Arm IP. Your contributions will ripple across the industry, powering millions of devices worldwide.

Sales and Partner Enablement (SAPE)

Develop tools and techniques that make it easier to support customers
Create and update knowledge-base articles and application notes
Collaborate with global, distributed product teams to influence future IP features and improve customer experiences
Learn to understand Arm architecture, IP, and tools.

You’ll start with well-scoped tasks that combine technical development with customer interaction, building both your technical and communication skills along the way.

Why join us?

Solutions Engineering

Location: Cambridge, Sheffield, Manchester

Core Skills

Verilog / VHDL(hardware design)
Digital and Analouge design
C++, Python, Java (programming)
System-on-Chip design concepts
Curiosity + teamwork mindset

The Solutions Engineering team at Arm builds complete compute systems that combine CPUs, GPUs, NPUs and system IP. These power everything from mobile phones and IoT to datacenters and autonomous driving.

Our engineers design the system architecture, integrate Arm IP into RTL (register transfer level models), and run verification on hardware platforms to ensure performance, efficiency, and reliability.

Solutions reach customers in several ways: reference systems that show best practice integration, verified subsystems used in real chips, and development platforms for showcasing Arm’s latest technology. Specialist teams also create FPGA prototypes and silicon-ready layouts, turning ideas into real hardware.

About you

We want curious problem-solvers who enjoy collaboration and learning. You don’t need to tick every technical box — strong fundamentals and enthusiasm matter most.

Helpful skills include Verilog or VHDL, programming or scripting in C++ or Python, and interest in digital logic or system-on-chip design. Soft skills such as creativity, teamwork and asking good questions are equally valued.

Many grads start with classroom knowledge but quickly grow into confident engineers with support and mentorship.

Solutions Engineering

What could you be doing?

You’ll work on live projects from day one. Typical tasks include:

Designing and verifying compute systems in Verilog/SystemVerilog
Writing Python scripts to automate workflows
Developing FPGA images for hardware testing
Supporting silicon implementation flows.

Alongside this, you’ll gain experience with YAML/JSON data formats and industry-standard EDA tools, learning how to turn concepts into working hardware. Training and guidance are built in to help you succeed.

Why join us?

Your work could influence billions of devices — from mobile phones and IoT to datacenters and autonomous cars. Be part of the team that turns Arm’s IP into complete working systems.