Staff TypeScript Engineer

ARM
Newmarket
6 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Staff Engineer (ML-Native / Software Engineering)

Staff Machine Learning Engineer, Anomaly Detection United Kingdom, London

Staff Machine Learning Engineer Melbourne

Staff Software Engineer, MLOps (Remote within UK)

Staff Engineer - Data Engineering

Job Overview:

We make debug tools that help Arm's partners build outstanding software on their embedded devices which power mobile, games, Android, Linux, Machine Learning, and enterprise applications. Engineers are afforded the opportunity to move between teams as necessary to deliver products, so it helps to be a quick learner and willing to adapt to new technical challenges.

We are looking for skilled software engineers who are passionate about producing quality software to join our engineering teams.

Responsibilities:

We are growing our debugger team and seek a hardworking software engineer to help build wonderful developer experiences!

We are building tools to help developers debug and bring up sophisticated devices that implement the latest Arm architecture features and intellectual property. The successful candidate will collaborate with the team to craft a new debugger UX.

Working with a team of engineers, you will be involved in the full software development lifecycle, from working with our Technology Managers to clarify requirements through to design, development and deployment of new features.

You will implement new features for our suite of debug tools, such as Arm Development Studio (https://developer.arm.com/tools-and-software/embedded/arm-development-studio).

You will have the opportunity to lead other specialists, helping to guide, mentor and support engineers with varying levels of experience.

Required Skills and Experience :

  • TypeScript (browser, server, and client) - Node.js, Electron, React, Visual Studio VS Code extensions
  • Familiarity with the basics of modern, effective software development: source control, automated testing, object-oriented or functional paradigms and the Agile methodology.
  • Experience with UX design principles and processes.

“Nice To Have” Skills and Experience :

The following is a selection of skills used across our projects. You do not need any of these to apply or succeed in your application, but they will be an advantage. Opportunities to develop your skills in these areas will be open to you.

  • A good understanding of C++ programming, particularly using an IDE.
  • Some exposure to Java programming.
  • Experience with scripting in Python and using the Linux command line.
  • Use of embedded debug tools like Arm Development Studio or Keil MDK and associated JTAG or SWD debug probes.
  • Experience with build automation tools such as Maven or CMake.
  • Test development using tools like Jenkins and Robot.

In Return:

We will provide the training and environment to excel in this role. We offer a hybrid approach to remote, and office working and strive to provide an adaptable experience for all employees and to promote a strong collaborative environment.

 

 

#LI-KD1

 

 

 

 

Accommodations at Arm

At Arm, we want our people toDo Great Things. If you need 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 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.

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.