(Urgent) Senior Verification Engineer - Pioneering MachineLearning Techniques in Engineering (Hiring Immediately)

ARM
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Post-Doctoral Research Associate

Data Scientist - New

Data Scientist

Machine Learning Research Engineer - NLP / LLM

Computer Vision Physicist / Engineer

Data Scientist - Contract - 12 months

Job Overview:Arm is using Machine Learning andData Science techniques to empower verification teams to makedata-driven decisions and is building automated workflows thatenable our engineers to deliver more complex products. We arelooking for a creative and versatile senior verification engineerto join the Machine Learning for Verification (ML4V) team in ArmsProductivity Engineering group and deliver the full potential ofML4V across Arm engineering. ##Responsibilities:You will workdirectly with verification teams across engineering groups andproduct lines, embed the latest ML4V technologies into testbenchesand project workflows, and improve the overall efficiency ofverification. This includes: * Integrating ML4V into productionenvironments, and optimising testbenches and workflows to maximisethe benefits of deployment. This will include improving testgeneration and data visibility while ensuring that these changescontinue to meet the projects verification goals. * Supporting theevaluation of emerging ML technologies developed within Arm as wellas those from EDA partners. * Debugging ML4V issues, working incollaboration with ML4V Engineering andor DevOps through toresolution, while also developing interim patches to ensure servicecontinuity. * Working with data scientists to identify and extracttestbench data that could improve the ML models. * Reporting on theoverall ML4V user experience and project requirements (includingfuture requirements) and feeding these into the ML4V roadmap. ##Required Skills and Experience :* Proficiency in a hardwareverification language, preferably System VerilogUVM, and developingcoverage-driven constrained-random verification environments. *Experience in all stages of the verification lifecycle for complexIP. * Experience of interpreted scripting languages (ideallyPython) or shell scripting. * Strong communication skills. ##“Nice To Have” Skills and Experience :* Experience ofhigh-level programming languages such as CC++. * Experience of EDAsimulation, debug and coverage tools and using them in batchworkflows. * An understanding of machine-readable file formats,such as JSON. * Experience of version control systems (e.g. Git)and continuous integration testing (e.g. using Jenkins). *Knowledge of cloud computing services. ##In Return:In returnall Arm employees are provided with vital training to succeed intheir respective roles. As well as a friendly and high-performanceworking environment, We believe great ideas come from a vibrant andinclusive workplace where everyone can grow, succeed, and sharetheir outstanding contributions. In this role you will be workingwith extraordinary engineering teams spanning multiple fields,providing a great opportunity for expanding your expertise whilealso delivering measurable improvements to verification efficiency.#LI-KD1 ##Accommodations at ArmAt Arm, we want our people toDo Great Things. If you need support or an accommodation toBe Your Brilliant Selfduring the recruitment process, pleaseemail . Tonote, by sending us the requested information, you consent to itsuse by Arm to arrange for appropriate accommodations. Allaccommodation requests will be treated with confidentiality, andinformation concerning these requests will only be disclosed asnecessary to provide the accommodation. Although this is not anexhaustive list, examples of support include breaks betweeninterviews, having documents read aloud or office accessibility.Please email us about anything we can do to accommodate you duringthe recruitment process. ##Hybrid Working at ArmArm’sapproach to hybrid working is designed to create a workingenvironment that supports both high performance and personalwellbeing. We believe in bringing people together face to face toenable us to work at pace, whilst recognizing the value offlexibility. 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. ##EqualOpportunities at ArmArm is an equal opportunity employer,committed to providing an environment of mutual respect where equalopportunities are available to all applicants and colleagues. Weare 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.

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 Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.