Jobs
Benefits & Perks
•Flexible Hours
•Flexible Hours
Required Skills
C++
Python
Performance Analysis
Computer Architecture
Job Overview:
We are looking for an experienced and highly motivated engineer to join one of the hard-working teams within Systems Engineering, with a strong focus on performance analysis. This role is ideal for someone passionate about deep performance investigations, bottleneck identification, and data-driven architectural insights — alongside developing supporting C++ models.
About the Role
In this role, your primary responsibility will be performance analysis of next-generation Interconnect IP. You will work closely with architecture, design, and modeling teams to evaluate design trade-offs, identify bottlenecks, improve modeling accuracy, and drive performance validation.
About System IP
This position is part of the Interconnect Product Team.
The Interconnect team develops Arm's Core Link Interconnect IP — scalable, high-performance No Cs designed for intelligent connected systems across markets such as mobile, IoT, networking infrastructure, and automotive. Our solutions are optimized for
Responsibilities:
- Drive performance analysis of Interconnect IP, including advanced Network-on-Chip designs.
- Evaluate architectural design trade-offs to influence performance and scalability.
- Investigate and identify performance bottlenecks through deep analysis and performance correlation against RTL emulation.
- Collaborate closely with architecture, RTL, and modeling teams to validate performance targets and provide actionable feedback.
- Contribute to C++-based performance models to support performance studies and system-level simulations.
- Build and extend infrastructure and tooling for insightful performance data visualization and analysis.
- Support system-level performance studies in collaboration with internal teams across Arm.
- Contribute to evolving performance analysis methodology and standard processes across Arm's System IP group.
Required Skills and Experience :
- Strong hands-on experience in performance analysis and architectural performance tuning.
- Proficiency in C++ programming, particularly performance modeling and simulation.
- Solid understanding of computer architecture, particularly memory subsystems and interconnects.
- Python scripting experience for automation and data analysis.
"Nice To Have" Skills and Experience :
- Experience with SoC-level performance analysis and tools.
- Familiarity with memory subsystem micro-architecture and performance implications.
- Experience with Verilog/System Verilog RTL, including analysis and debugging in collaboration with design teams.
- Working knowledge of AMBA protocols and transaction-level modeling (SystemC/TLM).
- Exposure to Verilog/System Verilog and interaction with RTL design and verification teams.
- Experience mentoring other engineers in performance analysis or modeling efforts.
In Return:
Arm is committed to global talent acquisition, offering an attractive relocation package. With offices around the world, Arm is a diverse organisation of dedicated, creative and talented engineers. By enabling a dynamic, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we encourage our people to share their unrivaled contributions to Arm's success in the global marketplace.
Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: https://careers.arm.com/en/10x-mindset
Accommodations at Arm
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 at Arm
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 at Arm
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.
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About ARM

ARM
PublicThe future is built on Arm.
5,001-10,000
Employees
Cambridge
Headquarters
Reviews
3.3
4 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.5
Career
1.5
Management
1.0
15%
Recommend to a Friend
Pros
Good coworkers and team support
Opportunity for significant contributions
Support from other managers
Cons
Lack of compassion during personal emergencies
Poor management decisions and leadership
Workplace safety issues
Salary Ranges
4,822 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$50,779
total / year
Base
$20,312
Stock
$25,390
Bonus
$5,078
$35,545
$66,013
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Recruiter Phone Screen
4
Technical Interview
5
Final Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
AI/ML Concepts
Past Experience
Culture Fit
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