Principal SoC Performance Architect - Next-Generation Server Platforms (Silent)

ARM
Sunset Valley, TX, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$249,900.0 - $338,100.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence C++ (Programming Language) Profiling Computer Engineering InfiniBand Python (Programming Language) PCI Express Performance Tuning Systems Architecture SystemC Information Technology Server Operating Systems & Platforms

Job description

  • 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, 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.

Requirements

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., * 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

Benefits & conditions

$249,900-$338,100 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.

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