Machine Learning Software Technology Manager

Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist/ Software Engineer

Data Scientist - Pricing

Data Scientist - Pricing

MSc Data Science and Artificial Intelligence

Machine Learning Engineering Manager, Gen AI

Software Dev Intern - AI / Machine Learning

Job Overview:

As a Software Technology Manager, you will work with Arm's key customers to define and prioritise requirements for software enablement and optimization and to develop strategies to deliver them working within Arm and our software ecosystem!

 

Our Machine Learning group is our centre of excellence for all AI and ML on Arm's CPUs, GPUs, and dedicated accelerators. You will be part of our team of technology managers who are addressing the growing demand for Machine Learning on Arm technology.

 

We are responsible for the roadmap and vision for our software development, configuration, optimization, plus productisation and delivery activities. We develop strategies around new and existing software components to support Arm's products.

 

We gather use-cases and requirements for how software solutions can fulfil the needs of complex systems. We engage with open-source communities and communicate the opportunities of open-source software. We create product plans to ensure Arm's software solution products are successfully deployed to our partners across multiple market segments. Our knowledge of software communities, development practices and release methodologies enable us to match the lifecycle of our hardware products to build and deliver complete product solutions.

 

We work closely with Project Managers, Architects, Engineering Leads and Product Managers internal and external to Arm. Together, we collaborate to deliver the best software for Arm's technology and communicate its value to the world!

Responsibilities:

Evaluate the complete value chain of end customers, manufacturers, and designers of hardware, software, and systems. This includes productisation, support and quality assurance relating to what we deliver to those customers.

Gather specific market segment needs and translate these into product plans.

Work with internal engineering teams and partner software vendors to prioritize features and enhancements meeting customer needs.

Perform competitive analysis to identify the strengths and weaknesses of Arm-based solutions versus the competition.

Evangelize in open-source communities and enthuse our partners with the software offering by participating in customer meetings and training.

Required Skills and Experience :

Demonstrable experience with management of software requirements (preferably in a software product delivery context), and an understanding of how they are validated and delivered to required levels of quality.

Ability to express ideas and communicate effectively with other team members, customers, and suppliers to formulate, agree, and implement strategic plans.

Software development experience

Motivation to work unsupervised, but as an integral member of a local developer team, as well as our globally distributed technology management team.

Comfortable with the requirement to travel occasionally.

“Nice To Have” Skills and Experience :

Good university degree (or equivalent), ideally in a numerate subject, although other graduates would be considered if they have relevant experience.

Visibility or experience of a full open-source software development lifecycle and the components of a typical software stack. This could include definition of non-functional aspects of software and targets for integration maturity.

Experience with the definition of requirements to achieve quality and optimisation goals.

Work in software performance.

In Return:

You will get to utilise your engineering skills to build support for the technologies in millions of devices for years to come!

 

#LI-JB1

 

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

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.