Deep learning engineer Work, Jobs in Cambridge, Eng (with Salaries)

Hardware AI Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Scripting
- AI
- Communication skills
13d
Computational Physics & Signal Processing Consultant
PA Consulting —Melbourn
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
Technical Ecosystem Engineer
Arm —Cambridge
- £77,500 - £99,500 a year
- Hybrid work
- AI
Hardware Security Engineer - Consultant
Awerian —Cambridge
- Full-time
- Bachelor's degree
- Computer networking
- In-person
- Life insurance
Quick apply
Data Services Coordinator
GÉANT Recruitment —Cambridge
- Hybrid work
- Organisational skills
- Communication skills
Quick apply
10d
AI Research Engineer
Graphcore —Cambridge
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Employee assistance programme
Senior Application Engineer - Formula 1™
MathWorks —Cambridge
- Hybrid work
- Bachelor's degree
- No degree
- Travel
GNC Developer
Capgemini —Stevenage
- Hybrid work
Server CPU Physical Design Integration Engineer, Staff level - Cambridge, UK
Qualcomm —Cambridge
- Doctoral degree
- Engineering
- Master's degree
- Employee stock purchase plan
- Employee assistance programme
Staff Product Security Engineer
Entrust —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
11d
Game Engine Programmer - RuneTek
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Annual leave
- Flexible schedule
Quick apply
6d
Senior Graphic Designer - RuneFest
Jagex —Cambridge
- Organisational skills
- Annual leave
- Flexible schedule
Technical Designer - Old School RuneScape
Jagex —Cambridge
- Full-time
- Scripting
- Annual leave
- Flexible schedule
Server CPU Clock Physical Design Engineer, Staff level - Cambridge, UK
Qualcomm —Cambridge
- Doctoral degree
- Engineering
- Master's degree
- Employee stock purchase plan
- Employee assistance programme
(UK)Principal Engineer - Test
Codvo.ai —Cambridge
- Azure
- Product management
- Mentoring
OT Framework Technical Manager
Capgemini Sogeti —Cambridge
- Engineering
- Master's degree
- Leadership
Performance Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Computer Science
- Research
- Bachelor's degree
Quick apply
Software Engineer - C++/Rust
PA Consulting —Melbourn
- Full-time
- Hybrid work
- Software development
- Agile
- Linux
Quick apply
Back-end Engineer
Renesas Electronics —Cambridge
- Full-time
- Remote
- Analysis skills
- Organisational skills
- In-person
- Free parking
- Referral programme
Quick apply
Graphics Software Engineer
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Scripting
- Communication skills

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Hardware AI Engineer

Arm -
Cambridge

Apply Now

Job details

£97,300 - £131,700 a year
13 days ago

Qualifications

Technical troubleshooting
Scripting
ARM
AI
Communication skills
Debugging

Full job description

Job ID 2026-17232 Date posted Jul. 29, 2026 Location Cambridge, United Kingdom Category Hardware Engineering

Job Overview:

We’re looking for a passionate Hardware AI Engineer to join our team.

You will build AI-enabled automation that makes Arm digital hardware verification engineers drastically improve efficiency across their work assignments thereby improving Arm's cycle time. You’ll bridge deep hardware verification domain knowledge with AI-based tooling and partner with Architects to apply AI-powered new tools and techniques, at-scale, and transform the day to day working of Arm engineering team.

About the Team:

We are the PE AI team, and we focus on improving engineering productivity through smart technology. We work across hardware and software projects, partnering with teams to embed AI into their workflows.

Responsibilities:

Contribute hands-on toward the development of AI-based solutions for Hardware Verification automation.
Curate/develop solutions based on OpenAI Codex skills and tool integrations (e.g., simulation flows, log analysis, code review/refactor support).
Collaborate with Arm Engineering teams to capture real engineering struggles and turn them into clear requirements.
Build quick prototypes and evaluate EDA AI tools, to validate feasibility and quantify impact.
Drive adoption as a change leader: run demos/workshops; Contribute onboarding guides; Identify and remove adoption blockers.

Required Skills and Experience :

Hands on experience with design verification methodology: Deep understanding of RTL design, interfaces between RTL, testbench and Verification IP, experience with debugging compile and simulation issues.
Experience with EDA vendor tooling: Domain knowledge of at least one (of the three major) EDA vendor toolset.
AI tooling fluency: Practical experience using AI for engineering automation (prompt design/iteration, structured outputs, tool use).
Strong solving attitude: you can quickly diagnose why something doesn’t work in a real environment and drive resolution across teams.
Clear written communication: can turn ambiguous conversations into requirements and actionable plans.

“Nice To Have” Skills and Experience:

Automation / scripting: Strong in at least one scripting language (Python preferred). Ability to integrate and orchestrate tools (parsing logs/reports, running flows, collecting results).
Experience in an Application Engineer / internal customer-facing role where you translated user needs into working solutions.
Familiarity with agentic workflows, skills, tool calling patterns

What success looks like in 6–12 months:

Arm Hardware engineers can point to real workflow time saved (cycle time, debug time, triage effort) and product quality improvements (number of bugs found, PPA improvements) with credible evidence.
Prototypes rapidly prove value or stop quickly with clear learning.
Teams onboard quickly and stick with it: adoption grows because friction is removed and value is obvious.

Additional Information:

Please note that no relocation package is available for this role.

If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer 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.

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:

£97,300

£131,700

per year

Apply Now

Refine Your Search

deep learning engineer jobs in cambridge, eng

Hardware AI Engineer

Computational Physics & Signal Processing Consultant

Technical Ecosystem Engineer

Hardware Security Engineer - Consultant

Data Services Coordinator

AI Research Engineer

Senior Application Engineer - Formula 1™

GNC Developer

Server CPU Physical Design Integration Engineer, Staff level - Cambridge, UK

Staff Product Security Engineer

Game Engine Programmer - RuneTek

Senior Graphic Designer - RuneFest

Technical Designer - Old School RuneScape

Server CPU Clock Physical Design Engineer, Staff level - Cambridge, UK

(UK)Principal Engineer - Test

OT Framework Technical Manager

Performance Engineer

Software Engineer - C++/Rust

Back-end Engineer

Graphics Software Engineer

I want to receive the latest job alerts for deep learning engineer in cambridge, eng

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