Jobs
Job Overview:
We’re seeking an Emulation Efficiency Architect who combines system-level understanding with data-driven performance insight to improve how Arm’s emulation infrastructure operates at scale. This role focuses on improving throughput, utilization, and availability across our global emulation farms by tuning workflows, integrating automation, and partnering closely with EDA vendors.
As part of Arm’s Productivity Engineering Group, you’ll help shape the evolution of Arm’s emulation environment. Working with emulation operations, platform architects, and tool suppliers, you’ll develop strategies and integrations that elevate both platform performance and engineering productivity.
Responsibilities:
- Benchmark emulation workloads to quantify performance and utilization baselines, and track improvements over time.
- Improve system availability and job throughput by optimizing scheduling, queuing, and recovery mechanisms.
- Integrate with EDA vendor APIs to automate resource management, monitor usage, and streamline job orchestration.
- Collaborate with Arm’s in-house scheduler team to enhance scheduling intelligence and resource allocation for emulation workloads.
- Develop data pipelines and performance dashboards to visualize trends, detect inefficiencies, and guide tuning efforts.
- Drive continuous improvement through automation and workflow optimization.
- Partner with EDA tool vendors (e.g., Cadence, Synopsys, Siemens) to validate and deploy performance enhancements in production workloads.
Required Skills and Experience :
- Strong experience in hardware emulation environments (Cadence Palladium, Synopsys ZeBu, or Siemens Veloce).
- Proven ability to benchmark and profile emulation workloads, interpret performance data, and drive targeted improvements.
- Solid understanding of availability engineering, including fault detection, failover, and system resilience.
- Experience integrating vendor APIs or SDKs into custom automation or monitoring solutions.
- Familiarity with scheduler design and integration.
- Proficiency in Linux-based environments and scripting (Python, Bash) for automation and analysis.
- Strong analytical mentality with a data-driven, test-based approach to performance validation.
- Familiarity with Prometheus, Grafana, or similar metrics frameworks for system visibility.
“Nice To Have” Skills and Experience :
- Experience building workflow orchestration or monitoring tools for large-scale verification or emulation environments.
- Exposure to cloud-hosted emulation or elastic compute models.
- Knowledge of EDA tool internals and licensing mechanisms.
- Experience collaborating with EDA vendors on joint optimization or benchmarking initiatives.
In Return:
Join a collaborative, fast-moving team solving meaningful platform challenges. You’ll have room to grow technically, contribute directly to platform strategy, and improve performance for thousands of engineers across Arm.
10x Mindset at Arm
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. Read more about how we bring the 10x mindset to life on the Arm blog.
#LI-ZN1
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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