Performance engineer Work, Jobs in Stotfold, Hrt (with Salaries)

Performance Analysis Engineer
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- C++
- Bachelor's degree
11d
Performance and Monitoring Engineer
Solus Accident Repair Centres —Stansted
- £40,000 - £50,000 a year
- Full-time
- Remote
- Azure
- Scripting
- APIs
- Employee discount
Senior Endpoint Engineer
Milton-Keynes-Council —Milton Keynes
- £37,280 - £41,771 a year
- Mentoring
- Annual leave
- Work from home
8d
Systems Performance Engineer
MBDA —Stevenage
- Up to £52,500 a year
- Overtime
- Hybrid work
- System design
- Analysis skills
- Free parking
Performance Modelling Engineer
Apple —Cambridge
- C++
- Scripting
- APIs
Performance Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Computer Science
- Bachelor's degree
- Python
Quick apply
Power and Performance Engineer, PAI Platforms and Performance Analysis
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Engineering
- Analysis skills
- No degree
Staff Software Engineer — Runtimes Performance
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Java
- Assembly
- C++
2d
PCB Team Lead
Arm —Cambridge
- £126,200 - £170,800 a year
- Hybrid work
- Management
- Supervising experience
- Mentoring
- Relocation assistance
Senior CPU Performance Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Data analysis skills
- Analysis skills
- C++
Performance & Insight Engineer
Bedfordshire Fire and Rescue Service —Kempston
- £45,091 - £49,282 a year
- Full-time
- Hybrid work
- Military
- Data analysis skills
- SQL
- Free parking
- Flexitime
21h
Software Test Engineers
Leonardo UK Ltd —Luton
- £55,000 - £65,000 a year
- Full-time
- Hybrid work
- Windows
- Analysis skills
- Communication skills
- Flexible schedule
- Referral programme
IT Infrastructure & Security Manager
Welcome Break —Newport Pagnell
- Up to £75,000 a year
- Computer networking
- Contracts
- IT
- Free parking
- Employee discount
11d
Quality Automation Engineer- Silicon Engineering
Apple —Cambridge
- Machine learning
- APIs
- Communication skills
Infrastructure Engineer
SettleParadigm —Letchworth
- £51,700 a year
- Full-time
- Hybrid work
- Azure
- Windows
- Continuous improvement
- Free parking
Quick apply
4d
Senior DevOps Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Computer Science
- Bachelor's degree
- Linux
Engineering Apprenticeship - Automation & Controls
Altro/Autoglym —Baldock
- Full-time
- Engineering
- Programmable logic controllers
- Travel
- Free parking
- Sick pay
Quick apply
Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
Scrum Master
Leonardo UK Ltd —Luton
- £45,000 - £60,000 a year
- Full-time
- Hybrid work
- Continuous improvement
- Mentoring
- Agile
- Flexible schedule
- Referral programme
14d
Software Engineer
MBDA —Stevenage
- £58,000 a year
- Overtime
- Hybrid work
- Data analysis skills
- Computer networking
- Agile
- Free parking

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performance engineer jobs near stotfold, hrt

Performance Analysis Engineer

Arm -
Cambridge

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Job details

£55,300 - £74,800 a year
11 days ago

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

performance engineer jobs in stotfold, hrt

Performance Analysis Engineer

Performance and Monitoring Engineer

Senior Endpoint Engineer

Systems Performance Engineer

Performance Modelling Engineer

Performance Engineer

Power and Performance Engineer, PAI Platforms and Performance Analysis

Staff Software Engineer — Runtimes Performance

PCB Team Lead

Senior CPU Performance Engineer

Performance & Insight Engineer

Software Test Engineers

IT Infrastructure & Security Manager

Quality Automation Engineer- Silicon Engineering

Infrastructure Engineer

Senior DevOps Engineer

Engineering Apprenticeship - Automation & Controls

Software Engineer (Machine Learning)

Scrum Master

Software Engineer

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