Állás · Principal

Staff Design Engineer

Egyéb • Principal • Helyszíni • Teljes munkaidő Egyesült Királyság Cambridge, Egyesült Királyság

Staff Subsystem Design Engineer

Job Overview

Arm’s IP and Technology team in Solutions Engineering department evelop subsystem solutions and SoC IPs for next-generation systems targeting Edge AI, Physical AI and Cloud AI. We work across Arm, bringing together the latest Arm technologies and selected third-party IP, as well as developing our own IP where needed, to deliver highly integrated and optimized solutions.

We are looking for an experienced, motivated and creative Staff Subsystem Design Engineer with a strong background in RTL, IP design and subsystems. You will work on challenging subsystem designs, developing microarchitectures, designing and integrating IP, and solving complex engineering problems across power, performance, area and implementation.

You will work with a diverse, global group of engineers and collaborate across architecture, verification, implementation and other technology teams to deliver high-quality designs.

Responsibilities

As a Staff Subsystem Design Engineer, you will be involved in the specification, microarchitecture, RTL design and integration of complex IPs and compute subsystems.

Your key responsibilities will include:

  • Analyse architectural and system specifications, understand implementation challenges and collaborate with architects to refine solutions.

  • Develop subsystem and IP microarchitecture specifications from high-level requirements.

  • Design new IP and subsystem logic where required, as well as integrate existing Arm and third-party IP into complete subsystem solutions.

  • Understand IP functionality, interfaces and system-level interactions to ensure robust integration within the subsystem.

  • Develop and maintain design intent, including UPF and timing constraints, where applicable.

  • Perform and drive design quality checks including Lint, CDC, RDC, X-propagation, synthesis and other static design checks.

  • Navigate architectural and implementation trade-offs and clearly articulate the rationale behind design decisions.

  • Work closely with verification teams to review test plans, support verification and debug complex design issues.

  • Collaborate with implementation, performance and power teams to ensure designs meet functional, timing, area, power and performance requirements.

  • Improve design methodologies and flows to address evolving subsystem and IP development needs.

  • Plan and drive your work to ensure high-quality and timely delivery.

  • Provide technical guidance, design reviews and support to other engineers while contributing effectively as part of the wider team.

Required Skills and Experience

In addition to holding a Bachelor's, Master's or PhD degree in Electrical Engineering, Electronics Engineering, Computer Engineering or a related discipline, you will have 10+ years of relevant industry experience and demonstrate:

  • Extensive hands-on experience in digital RTL design and microarchitecture development using SystemVerilog and/or Verilog.

  • A strong delivery record of sophisticated IP or RTL subsystem designs.

  • Deep understanding of RTL design techniques and methodologies for complex subsystem and SoC development.

  • Ability to analyse high-level specifications and translate them into efficient and robust microarchitectures.

  • Familiarity with industry-standard EDA tools and methodologies.

  • Experience with static design checks including Lint, CDC, RDC and X-propagation.

  • Experience with synthesis, timing analysis and power-management techniques.

  • Understanding of low-power design methodologies, including UPF, clock/power gating and multiple power domains.

  • Ability to navigate performance, power, area, timing and complexity trade-offs and clearly articulate the rationale behind engineering decisions.

  • Knowledge of on-chip protocols and interfaces including AMBA AXI, APB and streaming interfaces.

  • Strong understanding of computer architecture and processor-based systems.

  • Knowledge of AI-powered software develop

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