FP&A Data Engineer

Arm
Cambridge
4 months ago
Create job alert

Job ID 2025-15689 Date posted 17/03/2026 Location Cambridge, United Kingdom Category Finance & Accounting


Are you passionate about technical writing? Does ground-breaking technology inspire you? Join Arm’s Information Developers and develop content for IP products that power 95% of the world’s connected devices—from healthcare to smart homes to infrastructure.


We’re looking for an expert technical author to work on content projects for innovative System-on-Chip (SoC) designs across hardware and low-level software.


This role is a one-year Fixed Term Contract.


Job Overview

Arm’s Solutions Engineering team delivers integrated hardware-software designs that help customers innovate and bring products to market faster. Our Solutions Technical Communications team makes these solutions accessible through clear, impactful documentation. As a Staff Information Developer, you will be a core member of the team and lead in the planning and generation of content for solutions projects.


Responsibilities

  • Collaborate with engineers to collect and validate complex technical details.
  • Plan and develop clear, user-centric technical documentation for SoC hardware and software.
  • Lead and/or contribute documentation for subsystem and solution releases.

Key skills & competencies

  • 5+ years experience in writing and leading complex documentation projects.
  • Ability to manage content across projects and release cycles.
  • Creative problem solver, flexible and pragmatic in approach.
  • Clear communicator in multi-disciplinary teams.
  • Eager to learn about new technologies and evolving documentation practices.

Nice to have

  • Experience documenting SoC hardware/software (e.g., firmware, BSPs, boot flows, system configuration).
  • Solid understanding of hardware design concepts (RTL/IP integration, chip bring-up, validation, FPGA prototyping).
  • Familiarity with modern documentation workflows and tools (Markdown, Git, Python, JSON/YAML, reuse and single-sourcing).
  • A good degree or postgraduate qualification in a relevant field, such as Electrical, Electronic or Computer Engineering, Computer Science or any of the sciences, English, Philosophy, Linguistics, or Law.

If you have many of these skills—and a drive to learn the rest—we encourage you to apply. We have some scope to adapt the role and job title to the right person.


In return

You’ll be part of an inclusive, supportive team that values your leadership and expertise. You’ll help shape documentation strategy for cutting-edge SoC solutions while enjoying hybrid work flexibility, competitive rewards, and opportunities to grow your influence across a global organisation.


Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email


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.


#J-18808-Ljbffr

Related Jobs

View all jobs

FP&A Data Engineer

Senior Data Scientist - Strategic Finance

Senior Data Analyst - Strategic Finance

Staff Growth Data Scientist, Monetization

FP&A Data Analyst — Insights, Forecasting & Dashboards

Senior FP&A & Data Analyst: Drive Financial Insight

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.