Efficiency Engineer, Arm, Cambridge (UK) Full Time

Quick Overview

About Arm

Arm is one of the world’s leading semiconductor and software design companies. If you’ve used a smartphone, a tablet, or pretty much any modern connected device, there’s a very good chance it runs on Arm technology. Their chip designs power over 99% of the world’s smartphones and are increasingly central to data centres, automotive systems, and AI workloads.

Headquartered in Cambridge at 110 Fulbourn Road (CB1 9NJ), Arm employs thousands of engineers globally and holds a UK Sponsor Licence, which means they can sponsor Skilled Worker visas for eligible international candidates. They are well-known in the industry for their collaborative working culture and for giving engineers real influence over the direction of their products. Arm also has other engineering roles in Cambridge — see the Senior Software Engineer position at Arm Cambridge for another example.

What This Role Involves

This is a data-focused engineering role within Arm’s Productivity Engineering group. Your core mission is straightforward: make Arm’s engineering platforms run more efficiently. That means looking at how their high-performance computing (HPC) clusters, cloud environments, and FPGA/emulation systems are being used, finding where resources are being wasted, and turning those findings into actionable improvements.

On a practical level, you will be building dashboards and visualisations that give the engineering teams clear visibility into how their compute infrastructure is performing. You will analyse cost and usage data to help with forecasting and budgeting. And you will work closely with engineering, operations, and finance teams to make sure decisions about platform strategy are backed by real data rather than guesswork.

This is not a pure software development role. It sits at the intersection of data engineering, systems analysis, and strategic planning. If you enjoy digging into complex datasets, finding patterns, and then convincing people to act on what you’ve found, this could be a strong fit.

Required Skills and Qualifications

Arm has listed the following as essential:

• A background in data engineering, analytics, HPC, or cloud environments
• Strong proficiency in Python and experience with data analysis or machine learning frameworks
• A solid understanding of distributed compute, HPC, or cloud infrastructure
• The ability to take complex data and turn it into clear, actionable recommendations

They also mention several nice-to-have skills, though none of these are dealbreakers:

• Knowledge of EDA workflows and semiconductor engineering environments
• Experience with IBM Spectrum LSF or similar job schedulers
• Familiarity with NetApp or high-performance storage systems
• Experience applying AI or ML to workload optimisation or capacity planning
• Experience building production-grade data pipelines
• Exposure to FPGA and emulation infrastructure

Salary, Benefits, and Relocation

The salary range for this role is £55,300 – £74,800 per year, as stated on the official Arm careers page. The exact figure will depend on your experience and where you sit within the band.

Arm’s benefits package includes a bonus, employee support assistance, and employee discounts. They also offer hybrid working, with teams generally expected to be in the office around three days per week on average, though the specifics are managed locally within each team.

Important note: Arm has confirmed that no relocation package is available for this role. If you are moving to Cambridge from outside the area, you will need to cover your own relocation costs.

Work Permit / Visa Note

Arm holds a UK Sponsor Licence and explicitly states that Skilled Worker visa sponsorship is available for this role. Here is how they describe it on the official listing:

“If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employee only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.”

In plain terms: Arm will handle the employer-side sponsorship process and cover those costs, but you will need to pay your own visa application fee and the Immigration Health Surcharge. This is standard practice for UK visa sponsorship.

Also bear in mind that there is no relocation package, so you will need to arrange and fund your own move to Cambridge if you are coming from outside the UK.

Who This Role May Suit

This role could be a good fit if you have a data engineering or analytics background and you are comfortable working with large-scale compute infrastructure. You might currently be working in an HPC environment, a cloud platform team, or a data-intensive engineering role where you are already doing the kind of analysis and visualisation work this job requires.

It could also work well if you are coming from a software engineering background and have shifted towards data-focused or platform optimisation work. The Python and data analysis requirements are firm, but the nice-to-have skills around EDA and semiconductor environments suggest Arm is open to people who can learn the domain quickly rather than requiring prior chip industry experience.

For international applicants, the confirmed visa sponsorship is a real advantage. Cambridge is an expensive city, but Arm’s salary band is competitive for the area, and the hybrid working model gives you some flexibility.

How to Apply Officially

You can apply directly through the official Arm Careers page:

Apply for Efficiency Engineer at Arm Careers

Do not apply through any third-party site or recruiter. Go straight to the source to make sure your application is properly received and tracked.

Documents You Will Likely Need

While Arm has not published a specific document checklist for this role, based on standard UK engineering hiring processes, you should have ready:

• An up-to-date CV tailored to this role
• Evidence of your right to work (or your need for visa sponsorship) in the UK
• Degree certificates or equivalent qualifications
• Details of your Python and data analysis experience, with specific examples

If you are an international applicant requiring visa sponsorship, it helps to mention this early in the process so Arm can plan accordingly.

Frequently Asked Questions

Does this role offer visa sponsorship?

Yes. Arm confirms that Skilled Worker visa sponsorship is available for this role. They cover employer-side sponsorship costs; you pay your own visa application fee and Immigration Health Surcharge.

Is there a relocation package?

No. Arm explicitly states that no relocation package is available for this role.

What is the salary range?

£55,300 – £74,800 per year, as listed on the official Arm careers page.

Is this a remote role?

No. It is a hybrid role based in Cambridge. Arm expects employees to be in the office around three days per week on average.

What programming languages do I need?

Python is the primary requirement. Experience with data analysis and ML frameworks is also expected.

Relevant Resources

• UK Skilled Worker Visa Guide
• Highest Paying Jobs in the UK
• How to Find Visa Sponsorship Jobs in the UK

JobsRivo is an independent job listing portal and is not the employer. Applicants should apply only through the official employer website. JobsRivo does not charge fees, process visas, or guarantee job offers.