Efficiency engineer Work, Jobs in Cambridge, Eng (with Salaries)

Performance Analysis Engineer
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- C++
- Bachelor's degree
Software Development Engineer (Java & AWS), Ring
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- Java
- AWS
AI Automation Software Development Engineer, Ring
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- Java
- C++
IC Package Design Engineer
Qualcomm —Cambridge
- Doctoral degree
- Engineering
- Master's degree
- Employee stock purchase plan
CAD Physical Design Engineer
Apple —Cambridge
- Computer Science
- Engineering
- Master's degree
Multi Skilled Engineer
CBRE —Cambridge
- £49,000 - £57,000 a year
- Full-time
- Maintenance
- Plumbing
- Communication skills
- Free parking
- Life insurance
Quick apply
12d
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Assembly Engineer - Temporary
Solo Secure Group —Biggleswade
- £15 - £16 an hour
- Temporary
- Assembly
- In-person
- Hand tools
Quick apply
SOFTWARE ENGINEER
HUBER+SUHNER —Cambridge
- Computer Science
- Schematics
- Bachelor's degree
Modelling and Simulation Engineer
UK Research and Innovation (UKRI) —Cambridge
- £46,444 - £51,088 a year
- Full-time
- Engineering
- System design
- English
Senior Software Engineer - AI Tooling
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- DevOps
- Master's degree
- AWS
AI Research Engineer
Graphcore —Cambridge
- Doctoral degree
- Master's degree
- C++
- Annual leave
- Employee assistance programme
4d
Staff Software Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- DevOps
- English
- C++
Stores Assistant
SPT Labtech —Cambridge
- Microsoft Office
- Organisational skills
- Warehouse experience
Quick apply
Mechanical craftsperson/ Engineer
CBRE —Cambridge
- £50,000 - £58,000 a year
- Full-time
- Schematics
- Engineering
- Maintenance
- Free parking
- Employee discount
Quick apply
PCB Team Lead
Arm —Cambridge
- £126,200 - £170,800 a year
- Hybrid work
- Management
- Supervising experience
- Mentoring
- Relocation assistance
M&E Engineer
Emcor —Cambridge
- £42,000 a year
- Full-time
- Maintenance
- Employee assistance programme
- Referral programme
Quick apply
Software Engineer II - Clock Tree Synthesis (CTS), Innovus R&D
Cadence Design Systems —Cambridge
- Full-time
- Computer Science
- Engineering
- Master's degree
- Employee stock purchase plan
- Life insurance
12d
Senior DevOps Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Computer Science
- Bachelor's degree
- Linux
Laboratory Technician Apprenticeship - Laboratory Coordinator
Skills 4 Group —Cambridge
- Up to £24,000 a year
- Full-time
- Microsoft Access
- Laboratory experience
- Typing
- Life insurance

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efficiency engineer jobs near cambridge, eng

Performance Analysis Engineer

Arm -
Cambridge

Apply Now

Job details

£55,300 - £74,800 a year

Qualifications

Computer Science
C++
Bachelor's degree
Software development
AI
Python

Full job description

Job Overview:

If you’re excited by emerging AI applications on edge devices, and enjoy understanding how systems behave and perform in real-world environments, this could be a great opportunity!

We are looking for an engineer to join our growing team to explore and evaluate Arm IP and tooling for edge AI compute, investigating workloads such as large language models and agentic AI.

Position is based in Cambridge, UK.

Responsibilities:

This role focuses on AI inference runtime characteristics, producing data-driven analysis and meaningful insights that influence future edge AI technologies across CPU, GPU, and NPU-class architectures.

This role would suit someone who enjoys understanding how AI workloads behave across hardware and software systems, and who uses data-driven analysis to help guide future improvements

You will work closely with hardware architects and software engineers to:

Collaborate with the team to investigate and understand AI inference workloads on real-world use cases
Develop evaluation and analysis workflows that provide insights into system behaviour
Investigate opportunities to improve efficiency and understand where these can be demonstrated
Evaluate inference runtimes, toolchains, and deployment frameworks across heterogeneous compute architectures
Share insights clearly to technical and non-technical audiences

Required Skills and Experience:

University degree (or equivalent experience) in Computer Science, Engineering, or related scientific subject
Software development experience in languages such as Python or C++

"Nice to Have" Skills and Experience:

A curiosity about how software behaves across hardware systems
An interest in AI model inference on next-generation devices

We value curiosity, teamwork, and learning from different perspectives, and understand that candidates may not meet every requirement listed. If your experience is relevant and you are interested in the role, we encourage you to apply.

In Return:

You’ll join a team that genuinely values curiosity, collaboration, and practical innovation, giving you the space and support to do your best work. The role offers a blend of technical depth and opportunities to shape how next‑generation edge AI systems are built and understood.

#LI-JW1

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 [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 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.

Salary Range:

£55,300

£74,800

per year

Apply Now

Refine Your Search

efficiency engineer jobs in cambridge, eng

Performance Analysis Engineer

Software Development Engineer (Java & AWS), Ring

AI Automation Software Development Engineer, Ring

IC Package Design Engineer

CAD Physical Design Engineer

Multi Skilled Engineer

Applied Scientist, Silicon and Systems Group Edge AI

Assembly Engineer - Temporary

SOFTWARE ENGINEER

Modelling and Simulation Engineer

Senior Software Engineer - AI Tooling

AI Research Engineer

Staff Software Engineer

Stores Assistant

Mechanical craftsperson/ Engineer

PCB Team Lead

M&E Engineer

Software Engineer II - Clock Tree Synthesis (CTS), Innovus R&D

Senior DevOps Engineer

Laboratory Technician Apprenticeship - Laboratory Coordinator

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