▷ [Immediate Start] Experienced Hardware Design Engineer(Apply in minutes)

ARM
Cambridge
2 months ago
Applications closed

Related Jobs

View all jobs

Job Description:Are you passionate aboutdigital hardware design? This is a fantastic opportunity to moveinto Machine Learning and Artificial Intelligence, key technologiesfor the future of computing. Working on the cutting edge of Arm IP,you will take part in crafting technology that powers the nextgeneration of mobile apps, portable devices, home automation, smartcities, self-driving cars, and much more! This position can offeredin either Lund, Sweden or Cambridge, UK ##Responsibilities:Aspart of our growing and versatile team, you’ll contribute to thedevelopment and verification of groundbreaking ML and NeuralNetwork hardware. Collaborating with experts across global designcenters, you’ll drive impactful projects and help deliver Arm’snext-generation IP using the most sophisticated tools andmethodologies. As a design engineer you will make a difference byworking on design activities throughout all stages of the project.Your work will involve RTL specifications, defining design tasksfor the project, taking ownership of complex work packages anddriving them to success, including front-end implementation taskslike synthesis, logic equivalence check, power analysis andoptimizations. ##Required Skills and Experience :* Anunderstanding of the entire ASICFPGA design flow and knowledge ofhardware description languages: Verilog or System Verilog. *Confirmed delivery record of high quality, low power, highperformance sophisticated micro-architecture and RTLimplementations in reasonable timescales. * Experience in planningthe design process and making realistic effort and timescaleestimates. * Experience with low power design techniques and poweraware verification. ##Additional Qualities That Will Help YourApplication Stand Out:* Experience in working with requirementsdefinition and requirement management. * Experience in block level,unit level and system level verification, using methodologies likeUVM. * Formal verification experience. * Experience in buildingCC++ based models of a microarchitecture. * Knowledge of the Armarchitecture and AMBA bus system. * Continuous integrationplatforms such as Jenkins, version control tool git. * Hands-onexperience of machine learning and neural networks. ##InReturn:With offices around the world, Arm is a diverseorganisation of dedicated, innovative and highly proficientengineers. As well as a friendly and high- performance workingenvironment, Arm offers a competitive benefits package. We have ahybrid working approach where we offer people the flexibility towork part time from home and part time from the office. We areproud to have a set of behaviours that reflect our DEI (Diversity,Equity & Inclusion) culture and guide our decisions, defininghow we work together to shape extraordinary! These behaviours areassessed as part of the recruitment process: We not I, Do greatthings, and Be your brilliant self. #LI-MZ1 ##Accommodations atArmAt Arm, we want our people toDo Great Things. If youneed support or an accommodation toBe Your Brilliant Selfduring the recruitment process, please email. To note,by sending us the requested information, you consent to its use byArm to arrange for appropriate accommodations. All accommodationrequests will be treated with confidentiality, and informationconcerning these requests will only be disclosed as necessary toprovide the accommodation. Although this is not an exhaustive list,examples of support include breaks between interviews, havingdocuments read aloud or office accessibility. Please email us aboutanything we can do to accommodate you during the recruitmentprocess. ##Hybrid Working at ArmArm’s approach to hybridworking is designed to create a working environment that supportsboth high performance and personal wellbeing. We believe inbringing people together face to face to enable us to work at pace,whilst recognizing the value of flexibility. Within that framework,we empower groupsteams to determine their own hybrid workingpatterns, depending on the work and the team’s needs. Details ofwhat this means for each role will be shared upon application. Insome cases, the flexibility we can offer is limited by local legal,regulatory, tax, or other considerations, and where this is thecase, we will collaborate with you to find the best solution.Please talk to us to find out more about what this could look likefor you. ##Equal Opportunities at ArmArm is an equalopportunity employer, committed to providing an environment ofmutual respect where equal opportunities are available to allapplicants and colleagues. We are a diverse organization ofdedicated and innovative individuals, and don’t discriminate on thebasis of race, color, religion, sex, sexual orientation, genderidentity, national origin, disability, or status as a protectedveteran.

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.

Job-Hunting During Economic Uncertainty: AI Edition

Artificial intelligence (AI) has become a driving force behind modern technology, transforming industries as diverse as finance, healthcare, retail, and manufacturing. From predictive analytics and natural language processing (NLP) to computer vision and generative AI, countless innovations rely on AI algorithms to solve complex problems and create new business opportunities. Despite its enormous potential, however, the AI job market can be impacted by broader economic uncertainties—recessions, investment slowdowns, or shifting corporate priorities—that lead to more selective hiring and tighter budgets. For job seekers in AI, this can mean grappling with fewer open positions, heightened competition, and extended decision-making timelines from employers. Yet, AI also remains integral to the digital future: as companies seek efficiencies through automation, data-driven insights, and sophisticated machine learning, opportunities persist even in a down market. The key is knowing how to stay visible, adaptable, and resilient when the broader environment feels unstable. In this guide, we’ll explore: Why economic volatility influences AI hiring and how this affects your job search. Proven strategies to maintain a competitive edge, even when budgets and roles shrink. Ways to refine your professional profile, emphasise relevant AI skills, and leverage networking effectively. Practical methods to stay motivated and focused, despite possible hiring slowdowns. How www.artificialintelligencejobs.co.uk can serve as your springboard for targeted AI opportunities. By combining foresight, adaptability, and a robust professional brand, you can secure a valuable AI position that propels your career forward—even during periods of economic uncertainty.

How to Achieve Work-Life Balance in AI Jobs: Realistic Strategies and Mental Health Tips

The Artificial Intelligence (AI) sector is evolving at an astonishing speed, reshaping industries that range from healthcare and finance to retail and cybersecurity. This transformation has triggered a massive demand for AI professionals—from machine learning engineers and data scientists to AI ethics specialists. With abundant opportunities and the allure of cutting-edge projects, it’s no surprise that AI is among the most sought-after career paths. Yet, behind the promise of lucrative salaries and pioneering research lies a pressing question: Is it actually feasible to maintain a healthy work-life balance in high-intensity AI roles? In a field known for demanding hours, intricate problem-solving, and perpetual learning curves, the balance between professional success and personal well-being often becomes precarious. In this article, we’ll explore real-world approaches to achieving work-life balance in the AI jobs sector. We’ll discuss why these roles can be stressful, offer realistic expectations for mental health, and provide actionable strategies for setting boundaries that protect both your career trajectory and your peace of mind. Whether you’re a seasoned AI professional or just stepping into this innovative industry, this guide will help you navigate the intensity without sacrificing your overall well-being.

Shifting from Academia to the AI Industry: How Researchers Can Harness Their Skills to Drive Commercial Artificial Intelligence

Artificial intelligence (AI) has advanced from a specialised academic pursuit to a transformative force in almost every sector—from healthcare diagnostics and autonomous vehicles to recommendation systems and creative generative models. As AI technologies continue to grow in complexity and impact, companies are looking for talent that combines deep theoretical knowledge with the ingenuity to solve real-world challenges. Increasingly, PhDs and academic researchers fit this profile perfectly. This guide will help you map out the transition from academia to industry in artificial intelligence. Whether you specialise in reinforcement learning, computer vision, natural language processing, or another AI discipline, you’ll find actionable advice on how to translate your academic strengths, adapt to commercial constraints, and excel in roles where your research insights can revolutionise products, services, and user experiences.