Senior Technical Marketing Manager for High Performance IoT

Cambridge
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Electronic Design Engineer

Senior Cloud Engineer

Senior Software Engineer

Senior Infrastructure Engineer

Senior Network Project Engineer

Senior Network Engineer

Arm has revolutionised multiple industries from mobile to cloud, and is now shaping the future of edge computing during the push to high performance computing and edge AI inference. Working with our customers as part of the IoT Go-to-market team means that you will need to understand what they want to achieve and provide a solution that moves them forward.

Job Overview:

The technical marketing manager role is a varied, technical role, where you will not only use your expertise but your interpersonal skills to support our partners through their journey. You will collaborate with engineering teams, acting as the voice of the customer to motivate changes which improve our products and help our partners embrace new technology.

Responsibilities:

Engage OEMs and ecosystem vendors on complex use cases that exercise multiple SoC (System-on-chip) subsystems to ensure Arm solutions meet key market use cases

Create and present technical marketing collateral promoting whole SoC and platform benefits

Collate market feedback to guide product managers and engineering teams in the development of compelling solutions

Co-ordinate and shape technical training with partner engineering teams

Required Skills and Experience :

Passion for solving complex challenges in the semiconductor industry

Previous SoC application engineering or development experience

BSc Degree or higher qualification in Electronic Engineering or equivalent experience

High level of autonomy, working independently and with remote teams.

Customer-facing experience and ability to travel

“Nice To Have” Skills and Experience :

Prior experience with AI/ML, Rich OS or Multimedia applications very desirable

Good knowledge of CPU architecture principles and SoC design principles.

Knowledge of ASIC/SoC design processes.

In Return:

We offer you the opportunity to join a fast-paced team and work with some of the leading tech companies in the world , helping shape ground-breaking new applications.

 

 

 

#LI-KD1

 

 

 

Accommodations at Arm

At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation 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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI at the Edge: The Future of Decentralised Intelligence

As the modern world pushes towards instant data processing and real-time analytics, edge computing has emerged as a compelling solution. Instead of funnelling every piece of data to centralised data centres or the cloud, edge computing brings computation closer to the data source—reducing latency, lowering bandwidth costs, and enabling on-the-spot decision-making. From IoT sensors in smart cities to autonomous vehicles and remote industrial sites, the edge has quickly become a linchpin of digital transformation. Simultaneously, Artificial Intelligence (AI) has shown explosive growth, driving breakthroughs in natural language processing, computer vision, and advanced analytics. Cloud-based AI solutions have served organisations well, but in scenarios demanding ultra-low latency or local autonomy, the cloud’s round-trip time becomes a bottleneck. Hence, edge AI—embedding AI models at or near the point of data collection—promises a new wave of hyper-responsive applications and decentralised intelligence. Yet, as we continue pushing the boundaries of data volume, complexity, and speed, even advanced edge solutions sometimes struggle with the exponential computational requirements of AI. This is where quantum computing enters the picture, potentially offering new methods to tackle intractable problems in optimisation, high-dimensional data analysis, and machine learning. While quantum hardware remains in its early stages, the prospect of integrating quantum algorithms into AI workflows at the edge is generating significant excitement. In this article, we’ll explore: The current state and challenges of edge computing. A concise overview of quantum computing and why it matters. The concept of quantum-enhanced AI—especially in distributed or decentralised environments. Potential real-world applications at the intersection of quantum, AI, and edge computing. Key job roles and skill sets emerging in this new frontier. Considerations around security, ethics, and hardware constraints as we move towards quantum solutions at the edge. If you’re a professional in edge computing, an AI enthusiast, or simply curious about what the future of decentralised tech might look like, read on. The fusion of quantum computing and AI at the network edge could redefine how we collect, process, and learn from data in real time.

Edge Computing Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Edge computing has emerged as a revolutionary paradigm for processing data closer to where it’s generated—think IoT devices, sensors in remote locations, autonomous vehicles, and more. By reducing latency and bandwidth usage, edge computing enables real-time insights and responsive applications. In the UK, a growing ecosystem of innovators is capitalising on edge technology, buoyed by increased venture capital, academic prowess, and government-backed programmes that stimulate tech development. In this Q3 2025 Investment Tracker, we’ll explore newly funded UK start-ups blazing a trail in edge computing. We’ll also highlight the wealth of job opportunities these investments create for software engineers, DevOps specialists, data scientists, and other tech professionals looking to carve out a career at the cutting edge—pun fully intended.

Portfolio Projects That Get You Hired for Edge Computing Jobs (With Real GitHub Examples)

Edge computing is transforming how data is collected, processed, and acted upon—often in real time and close to where data is generated. From Internet of Things (IoT) devices to 5G networks and industrial automation, edge computing unlocks new possibilities for low-latency analytics, intelligent decision-making, and resource optimisation. With the proliferation of edge devices and the need for distributed computing architectures, demand for skilled edge computing professionals continues to rise. If you want to stand out in this exciting field, you need more than a great CV: you need a well-curated portfolio demonstrating your hands-on capabilities. This guide will show you how to build that portfolio, including: Why a dedicated edge computing portfolio is crucial. How to choose projects aligned with your target edge roles. Real GitHub examples that illustrate best practices. Actionable project ideas for edge deployments and data processing. Tips on presenting your portfolio so recruiters and hiring managers see your value instantly. When you’re ready, don’t forget to upload your CV on EdgeComputingJobs.co.uk so potential employers can find your newly polished portfolio. Let’s dive in!