Senior Developer Relations Engineer (Some experiencerequired)

ARM
Cambridge
6 months ago
Applications closed

Related Jobs

View all jobs

Software Development Team Lead

Senior Golang Developer - 2 Day London - Inside IR35

AWS Backend Engineer (Inside IR35)

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Job Overview: Arm is building the future of computing,together, for everyone. Our technology can be found wherevercomputing happens - from the tiniest sensor to smartphones,laptops, networking equipment, automotive, robotics to the largestserver. Are you an experienced software engineer with a passion forproblem-solving and a desire to engage with a diverse range ofdevelopers across our ecosystem? As a Senior Developer RelationsEngineer in our growing team, you will be helping to solvetechnical challenges for our partners and ensuring their developersare getting the best from Arms technologies and tooling.Responsibilities: ● Build and maintain strong working relationswith software developers, driving and recording conversations thatmatter. ● Work directly with software partners to understand theirgoals and issues, and help provide solutions. ● Collaborate onpartner solutions with internal experts, particularly within ourperformance tools, graphics and machine learning teams. ● Performhands-on development when required, to reproduce partner issues andengineer proof-of-concept solutions. ● Learn about new technologiesrelevant to our software partners. Required Skills and Experience:● Excellent communication skills: able to express ideas and connectwith internal teams, external partners and the wider developercommunity. ● Strong technical understanding of computingfundamentals: comfortable debugging and solving performance issueswith relevant tools. ● Demonstrable working knowledge of CC++: ableto write, maintain and debug code. ● Experience in developingsoftware solutions for Android or Linux. “Nice To Have” Skills andExperience: ● Familiar with the Arm architecture. ● Experience withmachine learning, graphics APIs and game engines such as Unity andUnreal. ● Exposure to agile teams or projects with a focus onreleasing user value early and continuous improvement. In Return:Become a key representative of the developer ecosystem across Armand use your engineering skills to contribute to the success of ourpartners projects. Join a friendly working environment and receivea very competitive benefits package including private medicalinsurance, sabbatical, supplementary pension, and wellnessbenefits. All Arm employees are provided with vital training tosucceed in their respective roles, and we offer a hybrid approachto home and office working. #LI-JB1 Accommodations at Arm At Arm,we want our people to Do Great Things. If you need support or anaccommodation to Be Your Brilliant Self during the recruitmentprocess, please email . To note, by sendingus the requested information, you consent to its use by Arm toarrange for appropriate accommodations. All accommodation requestswill be treated with confidentiality, and information concerningthese requests will only be disclosed as necessary to provide theaccommodation. Although this is not an exhaustive list, examples ofsupport include breaks between interviews, having documents readaloud or office accessibility. Please email us about anything wecan do to accommodate you during the recruitment process. HybridWorking at Arm Arm’s approach to hybrid working is designed tocreate a working environment that supports both high performanceand personal wellbeing. We believe in bringing people together faceto face to enable us to work at pace, whilst recognizing the valueof flexibility. Within that framework, we empower groupsteams todetermine their own hybrid working patterns, depending on the workand the team’s needs. Details of what this means for each role willbe shared upon application. In some cases, the flexibility we canoffer is limited by local legal, regulatory, tax, or otherconsiderations, and where this is the case, we will collaboratewith you to find the best solution. Please talk to us to find outmore about what this could look like for you. Equal Opportunitiesat Arm Arm is an equal opportunity employer, committed to providingan environment of mutual respect where equal opportunities areavailable to all applicants and colleagues. We are a diverseorganization of dedicated and innovative individuals, and don’tdiscriminate on the basis of race, color, religion, sex, sexualorientation, gender identity, national origin, disability, orstatus 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.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!