Job description

We are looking for experienced architects who are passionate about pushing the boundaries of performance in modern server systems. This role sits at the intersection of architecture, workload characterization, and silicon-level analysis, requiring a hands-on approach to understanding and improving real-world system behavior. You will play a key role in crafting the performance of future platforms by combining deep architectural expertise with practical investigation on silicon and extensive computational tasks. Responsibilities: • Evaluate and analyze real-world workloads on production silicon, with a strong focus on AI at scale and HPC applications • Partner with multi-functional teams to define performance metrics, representative use cases, and benchmarking strategies • Design and implement targeted microbenchmarks to isolate and study specific architectural behaviors • Identify performance bottlenecks through detailed analysis and recommend actionable optimizations • Translate insights from workload and silicon studies into architectural improvements for performance and scalability • Collaborate closely with hardware and software teams to influence system-level design decisions • Serve as a performance expert, providing technical leadership and guidance across teams • Drive end-to-end understanding from architecture → workload → silicon validation to ensure best-in-class system performance Required Skills and Experience: • Master’s or PhD degree in Computer Engineering, Computer Science, or a related field • 10+ years of experience in system or hardware architecture, with exposure to areas such as: • CPU / accelerator architectures • Cache and memory subsystems • PCIe, networking, or storage • Strong background in either: • High-performance IO/networking (e.g., PCIE, CXL, InfiniBand, RoCE), or • Performance optimization for HPC or cloud-scale systems • Proven expertise in benchmarking methodologies and development of custom microbenchmarks • Solid experience with performance analysis tools, profiling, and (ideally) simulation environments • Proficiency in SystemC, TLM, C++, and Python • Ability to navigate and contribute effectively within large, complex codebases “Nice To Have” Skills and Experience: • Experience working directly with silicon bring-up or post-silicon performance analysis • Familiarity with performance simulators or architectural modeling tools #LI-KC1 Salary Range: $262,700-$355,400 per year We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process. Our 10x Mindset At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: careers.arm.com Use of AI in Your Application At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you. Recruitment Adjustments and Accommodations At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Requirements

Must-haves

You will play a key role in crafting the performance of future platforms by combining deep architectural expertise with practical investigation on silicon and extensive computational tasks.
Evaluate and analyze real-world workloads on production silicon, with a strong focus on AI at scale and HPC applications
Partner with multi-functional teams to define performance metrics, representative use cases, and benchmarking strategies
Design and implement targeted microbenchmarks to isolate and study specific architectural behaviors
Identify performance bottlenecks through detailed analysis and recommend actionable optimizations
Translate insights from workload and silicon studies into architectural improvements for performance and scalability
Collaborate closely with hardware and software teams to influence system-level design decisions
Serve as a performance expert, providing technical leadership and guidance across teams
Drive end-to-end understanding from architecture → workload → silicon validation to ensure best-in-class system performance
Master’s or PhD degree in Computer Engineering, Computer Science, or a related field
10+ years of experience in system or hardware architecture, with exposure to areas such as: • CPU / accelerator architectures
Cache and memory subsystems
PCIe, networking, or storage
Strong background in either: • High-performance IO/networking (e.g., PCIE, CXL, InfiniBand, RoCE), or
Performance optimization for HPC or cloud-scale systems
Proven expertise in benchmarking methodologies and development of custom microbenchmarks
Solid experience with performance analysis tools, profiling, and (ideally) simulation environments
Proficiency in SystemC, TLM, C++, and Python
Ability to navigate and contribute effectively within large, complex codebases
Experience working directly with silicon bring-up or post-silicon performance analysis
Familiarity with performance simulators or architectural modeling tools
Our 10x Mindset
Use of AI in Your Application

Nice-to-haves

“Nice To Have” Skills and Experience:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: radancy
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