Principal System Performance Telemetry Architect

Posted Yesterday
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Austin, TX, USA
Hybrid
250K-338K Annually
Entry level
Artificial Intelligence • Internet of Things • Semiconductor
Build What the World Depends On
The Role
Define performance telemetry and profiling architecture for next-generation Arm platforms spanning CPUs, accelerators, memory, interconnects, I/O, networking, storage, and chiplets. Establish observability specifications, telemetry models, profiling hooks, and cross-layer data flows from silicon through software and developer tools. Collaborate with hardware, software, power, modeling, and tooling teams to support workload analysis, bottleneck detection, performance validation, power-performance optimization, silicon bring-up, and deployment debugging across AI, edge, automotive, robotics, and infrastructure systems.
Summary Generated by Built In
Principal System Performance Telemetry Architect
Do you want to shape the performance telemetry and profiling architecture behind the next generation of AI infrastructure, edge platforms, and physical AI systems?
In Arm's Central Technology Group, we are seeking a highly motivated Principal System Performance Telemetry Architect to join our diverse system architecture team!
This role is ideal for someone passionate about system performance, profiling, and hardware-software observability. You will architect how performance data is captured, correlated, and exposed across complex SoCs, enabling performance analysis, optimization, and silicon debug. Working with silicon, power, and SoC architects, performance analysis engineers, and software and tooling teams, you will help shape the performance observability capabilities of future Arm platforms.
RESPONSIBILITIES
  • Define system-level performance telemetry architecture, including hardware counters, events, metrics, traces, and data collection across CPUs, accelerators, memory, interconnects, I/O, and multi-die SoCs.
  • Drive architecture specifications and performance analysis methodologies for workload characterization, bottleneck identification, and system optimization across Arm-based cloud, edge, and physical AI platforms.
  • Architect mechanisms to collect, correlate, and expose performance telemetry across SoC components and hardware-software layers for performance analysis and debugging.
  • Collaborate with SoC architects, performance modeling and analysis engineers, and profiling teams to translate performance and debug needs into hardware telemetry requirements.
  • Provide architectural guidance to software, firmware, and tooling teams to enable effective use of hardware telemetry for profiling, software optimization, and platform deployment.
  • Support silicon bring-up, performance validation, and debug while providing technical leadership across multidisciplinary architecture, hardware, and software teams.

Required Experience and Skills
  • Relevant experience in system architecture, performance engineering, performance analysis, profiling, or performance modeling for complex compute platforms.
  • Strong understanding of heterogeneous SoC architectures, including CPUs, accelerators, memory systems, interconnects, I/O, and multi-die systems.
  • Experience with hardware performance counters, events, traces, profiling infrastructure, or system-level observability, and the ability to translate performance analysis needs into telemetry requirements.
  • Hands-on experience with profiling tools such as NVIDIA Nsight, Intel VTune, Linux perf, Arm Streamline, Arm Performance Studio, or equivalent tools.
  • Strong understanding of performance analysis methodologies, including workload characterization, bottleneck identification, latency and bandwidth analysis, and power-performance optimization.
  • Understanding of how hardware telemetry is exposed and consumed across firmware, operating systems, virtualization layers, runtimes, and developer tools.
  • Experience collaborating with cross functional teams, with strong communication and technical leadership skills.

Nice To Have
  • Experience with silicon bring-up, performance validation, debug, or hardware-software performance correlation.
  • Experience with cloud-scale performance observability, capacity planning, workload placement, or infrastructure optimization.
  • Understanding of platform power management, thermal behavior, RAS, and their impact on performance.

Salary Range:
$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.
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: https://careers.arm.com/10x-mindset
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 [email protected] 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 [email protected] . 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.

Skills Required

  • Validated experience in system architecture, performance engineering, performance analysis, or profiling for sophisticated compute platforms.
  • Strong interest in performance optimization, workload analysis, bottleneck identification, and system-level performance tuning.
  • Understanding of heterogeneous computing systems, including CPUs, accelerators, memory systems, cache hierarchies, system interconnects, I/O, networking, storage, and multi-die or chiplet architectures.
  • Hands-on experience using profiler and performance analysis tools such as NVIDIA Nsight, Intel VTune, Linux perf, Windows Performance Analyzer, Arm Streamline, or Arm Performance Studio.
  • Experience defining or using performance telemetry, hardware performance counters, trace mechanisms, profiling infrastructure, or system observability capabilities.
  • Familiarity with workload characterization, bottleneck analysis, latency analysis, bandwidth analysis, utilization analysis, and power-performance optimization.
  • Experience collaborating with silicon architects, power architects, performance modeling teams, software teams, and platform engineers.
  • Understanding of how performance data is exposed and consumed across hardware, firmware, operating systems, virtualization layers, runtime software, and developer tooling.
  • Ability to connect profiling observations and telemetry data to architectural recommendations, power-performance tradeoffs, and deployment decisions.
  • Ability to work horizontally across multiple technology domains and connect component-level performance behavior to system-level outcomes.
  • Strong communication skills with demonstrated technical leadership across multidisciplinary hardware, software, architecture, and tooling teams.
  • Experience with AI infrastructure platforms, distributed AI systems, edge AI platforms, robotics, automotive compute, or other physical AI systems.
  • Familiarity with PCIe, CXL, Ethernet fabrics, RDMA, UALink, NVLink, coherent interconnects, memory pooling, and composable infrastructure.
  • Experience with cloud-scale or fleet-scale performance observability, capacity planning, workload placement, or infrastructure optimization.
  • Understanding of platform power management, thermal behavior, RAS, and their interaction with system performance.

Arm Compensation & Benefits Highlights

  • Leave & Time Off Breadth — Flexible leave, quarterly Days of Care, paid volunteering time, and a fully paid four‑week sabbatical after four years are prominently featured. These programs point to generous long‑term time off and recovery opportunities.
  • Healthcare Strength — U.S. coverage includes Blue Shield PPO, with Kaiser HMO available in San Jose, alongside wellbeing services, health assessments, gym options, and mental‑health support. This mix signals broad medical access paired with wellness resources.
  • Retirement Support — The U.S. program is described as including a 401(k) with company match and immediate vesting, with specifics confirmed in offer materials. This indicates meaningful support for long‑term savings.

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The Company
HQ: Cambridge, England
8,314 Employees
Year Founded: 1990

What We Do

We bring brilliant people together in a global ecosystem that is sparking the world’s potential. Arm technology enables specialized processing built on the economics, design freedom and accessibility of general-purpose compute that has, so far, led to more than 180 billion chips being shipped by our partners.

Why Work With Us

At Arm, we build the future of computing, powering everything from smartphones to AI. Our 10x mindset drives bold thinking and deep collaboration to solve complex problems together. With a people first culture, flexible work, and strong support for growth and wellbeing, your ideas can make a global impact while your career thrives.

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