Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Program Manager - EMEA Academic Network

Cadence Design Systems, Inc.
Bracknell
1 year ago
Applications closed

Related Jobs

View all jobs

Engineering Program Manager, Machine Learning

Principal Data Scientist - Industry Solutions Engineering

Senior Strategic Analytics and Data Science Manager

Machine Learning Engineering Manager

Manager of Data Science & Analytics, Marketplace Strategy & Planning

Data Science Manager, Digital Technologies

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

The Cadence Academic Network Team focuses on introducing Intelligent system Design Technologies to the Global Academic Ecosystem. We provide easy accesses to industry grade Computational Software technologies in the areas of EDA, IP, VLSI, Hardware, RF, System Simulation, Molecular Biology and more. The Cadence Academic Network focuses on enabling fundamental research, building specialized talent communities, supporting workforce development and promoting the Cadence brand with the academic population. We implement Computational Software proficiencies such as Machine Learning and Artificial Intelligence through designed programs, teaching, research, systems and tools. We are hiring a leader to support and develop our Academic network in EMEA.

In this varied role, you will be expected to:

Build Strong academic relationships, design programs and solutions to proliferate technology adoption at universities, promote the Cadence brand, support workforce development for Cadence and Cadence customers, and develop specialized research communities to advance collaborative research of our technology. A strong and collaborative presence in the academic space is key to identifying high-potential, diverse, technical talent, technical and business collaborations, and influencing curriculums at key academic institutions. In addition, your support will be required to design and implement teaching and research programs in EMEA universities, function as an Applications Engineer for professors and students, by providing training and support on Cadence technology in partnership with Cadence Education Services and Ecosystem partners. You will be viewed as a brand representative at university events, serving as a point of contact within Cadence for university engagements to ensure coordination of interactions, cohesion and consistency in engagement strategy and best practices. You will be expected to collaborate with the Cadence internal client groups by delivering support and guidance on messaging, programs and partnerships to Cadence EMEA R&D and WFO, enabling and motivating them to act and represent Cadence in their location or discipline.

Job Qualifications

Graduate degree in CS or EE, with a passion for technology and education Application Engineering experience in the EDA and/or IP space Familiarity with a university setting with an understanding of the academic stakeholder and university processes. Academic connections – a plus. Customer-oriented with a high degree of personal initiative, hands-on approach and flexibility Project Management/Organizational Skills Team-oriented and works well across a variety of personalities and disciplines Excellent verbal, written and presentation communication skills

We’re doing work that matters. Help us solve what others can’t.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.